| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004346 |
| Description |
|
Trait category |
Other measurement
|
| Synonym | brain imaging |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS001415 (GBE_INI25073) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in anterior limb of internal capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
731 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001415/ScoringFiles/PGS001415.txt.gz |
| PGS001416 (GBE_INI25072) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in anterior limb of internal capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
1,280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001416/ScoringFiles/PGS001416.txt.gz |
| PGS001417 (GBE_INI25059) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in body of corpus callosum on FA skeleton | neuroimaging measurement, brain volume |
754 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001417/ScoringFiles/PGS001417.txt.gz |
| PGS001418 (GBE_INI25071) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in cerebral peduncle on FA skeleton (L) | neuroimaging measurement, brain volume |
1,295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001418/ScoringFiles/PGS001418.txt.gz |
| PGS001419 (GBE_INI25091) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in cingulum cingulate gyrus on FA skeleton (L) | neuroimaging measurement, brain volume |
895 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001419/ScoringFiles/PGS001419.txt.gz |
| PGS001420 (GBE_INI25090) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in cingulum cingulate gyrus on FA skeleton (R) | neuroimaging measurement, brain volume |
1,224 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001420/ScoringFiles/PGS001420.txt.gz |
| PGS001421 (GBE_INI25093) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in cingulum hippocampus on FA skeleton (L) | neuroimaging measurement, brain volume |
330 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001421/ScoringFiles/PGS001421.txt.gz |
| PGS001422 (GBE_INI25092) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in cingulum hippocampus on FA skeleton (R) | neuroimaging measurement, brain volume |
879 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001422/ScoringFiles/PGS001422.txt.gz |
| PGS001423 (GBE_INI25062) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in corticospinal tract on FA skeleton (R) | neuroimaging measurement, brain volume |
342 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001423/ScoringFiles/PGS001423.txt.gz |
| PGS001424 (GBE_INI25088) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in external capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
940 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001424/ScoringFiles/PGS001424.txt.gz |
| PGS001425 (GBE_INI25094) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in fornix cres+stria terminalis on FA skeleton (R) | neuroimaging measurement, brain volume |
1,174 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001425/ScoringFiles/PGS001425.txt.gz |
| PGS001426 (GBE_INI25061) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in fornix on FA skeleton | neuroimaging measurement, brain volume |
836 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001426/ScoringFiles/PGS001426.txt.gz |
| PGS001427 (GBE_INI25058) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in genu of corpus callosum on FA skeleton | neuroimaging measurement, brain volume |
1,073 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001427/ScoringFiles/PGS001427.txt.gz |
| PGS001428 (GBE_INI25066) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in inferior cerebellar peduncle on FA skeleton (R) | neuroimaging measurement, brain volume |
946 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001428/ScoringFiles/PGS001428.txt.gz |
| PGS001429 (GBE_INI25056) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in middle cerebellar peduncle on FA skeleton | neuroimaging measurement, brain volume |
1,140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001429/ScoringFiles/PGS001429.txt.gz |
| PGS001430 (GBE_INI25075) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in posterior limb of internal capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
1,796 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001430/ScoringFiles/PGS001430.txt.gz |
| PGS001431 (GBE_INI25074) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in posterior limb of internal capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
2,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001431/ScoringFiles/PGS001431.txt.gz |
| PGS001432 (GBE_INI25085) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in posterior thalamic radiation on FA skeleton (L) | neuroimaging measurement, brain volume |
1,654 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001432/ScoringFiles/PGS001432.txt.gz |
| PGS001433 (GBE_INI25084) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in posterior thalamic radiation on FA skeleton (R) | neuroimaging measurement, brain volume |
1,877 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001433/ScoringFiles/PGS001433.txt.gz |
| PGS001434 (GBE_INI25077) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in retrolenticular part of internal capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
1,164 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001434/ScoringFiles/PGS001434.txt.gz |
| PGS001435 (GBE_INI25076) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in retrolenticular part of internal capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
456 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001435/ScoringFiles/PGS001435.txt.gz |
| PGS001436 (GBE_INI25087) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in sagittal stratum on FA skeleton (L) | neuroimaging measurement, brain volume |
1,376 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001436/ScoringFiles/PGS001436.txt.gz |
| PGS001437 (GBE_INI25086) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in sagittal stratum on FA skeleton (R) | neuroimaging measurement, brain volume |
1,445 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001437/ScoringFiles/PGS001437.txt.gz |
| PGS001438 (GBE_INI25060) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in splenium of corpus callosum on FA skeleton | neuroimaging measurement, brain volume |
598 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001438/ScoringFiles/PGS001438.txt.gz |
| PGS001439 (GBE_INI25069) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior cerebellar peduncle on FA skeleton (L) | neuroimaging measurement, brain volume |
1,647 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001439/ScoringFiles/PGS001439.txt.gz |
| PGS001440 (GBE_INI25068) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior cerebellar peduncle on FA skeleton (R) | neuroimaging measurement, brain volume |
1,860 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001440/ScoringFiles/PGS001440.txt.gz |
| PGS001441 (GBE_INI25081) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
821 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001441/ScoringFiles/PGS001441.txt.gz |
| PGS001442 (GBE_INI25080) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior corona radiata on FA skeleton (R) | neuroimaging measurement, brain volume |
1,238 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001442/ScoringFiles/PGS001442.txt.gz |
| PGS001443 (GBE_INI25099) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior fronto-occipital fasciculus on FA skeleton (L) | neuroimaging measurement, brain volume |
1,286 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001443/ScoringFiles/PGS001443.txt.gz |
| PGS001444 (GBE_INI25098) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior fronto-occipital fasciculus on FA skeleton (R) | neuroimaging measurement, brain volume |
480 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001444/ScoringFiles/PGS001444.txt.gz |
| PGS001445 (GBE_INI25097) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior longitudinal fasciculus on FA skeleton (L) | neuroimaging measurement, brain volume |
3,389 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001445/ScoringFiles/PGS001445.txt.gz |
| PGS001446 (GBE_INI25096) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in superior longitudinal fasciculus on FA skeleton (R) | neuroimaging measurement, brain volume |
1,463 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001446/ScoringFiles/PGS001446.txt.gz |
| PGS001447 (GBE_INI25103) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in tapetum on FA skeleton (L) | neuroimaging measurement, brain volume |
1,202 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001447/ScoringFiles/PGS001447.txt.gz |
| PGS001448 (GBE_INI25102) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in tapetum on FA skeleton (R) | neuroimaging measurement, brain volume |
1,948 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001448/ScoringFiles/PGS001448.txt.gz |
| PGS001449 (GBE_INI25100) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean FA in uncinate fasciculus on FA skeleton (R) | neuroimaging measurement, brain volume |
727 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001449/ScoringFiles/PGS001449.txt.gz |
| PGS001450 (GBE_INI25367) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in anterior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
1,490 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001450/ScoringFiles/PGS001450.txt.gz |
| PGS001451 (GBE_INI25366) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in anterior corona radiata on FA skeleton (R) | neuroimaging measurement, brain volume |
2,090 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001451/ScoringFiles/PGS001451.txt.gz |
| PGS001452 (GBE_INI25361) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in anterior limb of internal capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
870 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001452/ScoringFiles/PGS001452.txt.gz |
| PGS001453 (GBE_INI25360) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in anterior limb of internal capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
1,308 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001453/ScoringFiles/PGS001453.txt.gz |
| PGS001454 (GBE_INI25347) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in body of corpus callosum on FA skeleton | neuroimaging measurement, brain volume |
2,881 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001454/ScoringFiles/PGS001454.txt.gz |
| PGS001455 (GBE_INI25359) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in cerebral peduncle on FA skeleton (L) | neuroimaging measurement, brain volume |
1,907 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001455/ScoringFiles/PGS001455.txt.gz |
| PGS001456 (GBE_INI25358) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in cerebral peduncle on FA skeleton (R) | neuroimaging measurement, brain volume |
1,501 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001456/ScoringFiles/PGS001456.txt.gz |
| PGS001457 (GBE_INI25379) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in cingulum cingulate gyrus on FA skeleton (L) | neuroimaging measurement, brain volume |
1,929 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001457/ScoringFiles/PGS001457.txt.gz |
| PGS001458 (GBE_INI25378) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in cingulum cingulate gyrus on FA skeleton (R) | neuroimaging measurement, brain volume |
3,061 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001458/ScoringFiles/PGS001458.txt.gz |
| PGS001459 (GBE_INI25381) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in cingulum hippocampus on FA skeleton (L) | neuroimaging measurement, brain volume |
1,153 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001459/ScoringFiles/PGS001459.txt.gz |
| PGS001460 (GBE_INI25380) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in cingulum hippocampus on FA skeleton (R) | neuroimaging measurement, brain volume |
2,400 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001460/ScoringFiles/PGS001460.txt.gz |
| PGS001461 (GBE_INI25377) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in external capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
724 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001461/ScoringFiles/PGS001461.txt.gz |
| PGS001462 (GBE_INI25376) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in external capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
1,316 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001462/ScoringFiles/PGS001462.txt.gz |
| PGS001463 (GBE_INI25383) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in fornix cres+stria terminalis on FA skeleton (L) | neuroimaging measurement, brain volume |
1,353 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001463/ScoringFiles/PGS001463.txt.gz |
| PGS001464 (GBE_INI25382) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in fornix cres+stria terminalis on FA skeleton (R) | neuroimaging measurement, brain volume |
2,387 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001464/ScoringFiles/PGS001464.txt.gz |
| PGS001465 (GBE_INI25349) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in fornix on FA skeleton | neuroimaging measurement, brain volume |
188 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001465/ScoringFiles/PGS001465.txt.gz |
| PGS001466 (GBE_INI25346) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in genu of corpus callosum on FA skeleton | neuroimaging measurement, brain volume |
2,530 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001466/ScoringFiles/PGS001466.txt.gz |
| PGS001467 (GBE_INI25355) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in inferior cerebellar peduncle on FA skeleton (L) | neuroimaging measurement, brain volume |
711 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001467/ScoringFiles/PGS001467.txt.gz |
| PGS001468 (GBE_INI25354) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in inferior cerebellar peduncle on FA skeleton (R) | neuroimaging measurement, brain volume |
1,262 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001468/ScoringFiles/PGS001468.txt.gz |
| PGS001469 (GBE_INI25353) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in medial lemniscus on FA skeleton (L) | neuroimaging measurement, brain volume |
246 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001469/ScoringFiles/PGS001469.txt.gz |
| PGS001470 (GBE_INI25352) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in medial lemniscus on FA skeleton (R) | neuroimaging measurement, brain volume |
250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001470/ScoringFiles/PGS001470.txt.gz |
| PGS001471 (GBE_INI25344) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in middle cerebellar peduncle on FA skeleton | neuroimaging measurement, brain volume |
1,580 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001471/ScoringFiles/PGS001471.txt.gz |
| PGS001472 (GBE_INI25371) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in posterior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
2,727 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001472/ScoringFiles/PGS001472.txt.gz |
| PGS001473 (GBE_INI25370) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in posterior corona radiata on FA skeleton (R) | neuroimaging measurement, brain volume |
1,934 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001473/ScoringFiles/PGS001473.txt.gz |
| PGS001474 (GBE_INI25363) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in posterior limb of internal capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
2,010 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001474/ScoringFiles/PGS001474.txt.gz |
| PGS001475 (GBE_INI25362) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in posterior limb of internal capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
1,957 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001475/ScoringFiles/PGS001475.txt.gz |
| PGS001476 (GBE_INI25373) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in posterior thalamic radiation on FA skeleton (L) | neuroimaging measurement, brain volume |
2,073 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001476/ScoringFiles/PGS001476.txt.gz |
| PGS001477 (GBE_INI25372) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in posterior thalamic radiation on FA skeleton (R) | neuroimaging measurement, brain volume |
1,753 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001477/ScoringFiles/PGS001477.txt.gz |
| PGS001478 (GBE_INI25365) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in retrolenticular part of internal capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
2,268 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001478/ScoringFiles/PGS001478.txt.gz |
| PGS001479 (GBE_INI25364) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in retrolenticular part of internal capsule on FA skeleton (R) | neuroimaging measurement, brain volume |
2,113 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001479/ScoringFiles/PGS001479.txt.gz |
| PGS001480 (GBE_INI25375) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in sagittal stratum on FA skeleton (L) | neuroimaging measurement, brain volume |
1,651 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001480/ScoringFiles/PGS001480.txt.gz |
| PGS001481 (GBE_INI25374) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in sagittal stratum on FA skeleton (R) | neuroimaging measurement, brain volume |
2,195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001481/ScoringFiles/PGS001481.txt.gz |
| PGS001482 (GBE_INI25357) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior cerebellar peduncle on FA skeleton (L) | neuroimaging measurement, brain volume |
2,068 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001482/ScoringFiles/PGS001482.txt.gz |
| PGS001483 (GBE_INI25356) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior cerebellar peduncle on FA skeleton (R) | neuroimaging measurement, brain volume |
1,420 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001483/ScoringFiles/PGS001483.txt.gz |
| PGS001484 (GBE_INI25369) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
2,789 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001484/ScoringFiles/PGS001484.txt.gz |
| PGS001485 (GBE_INI25368) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior corona radiata on FA skeleton (R) | neuroimaging measurement, brain volume |
2,299 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001485/ScoringFiles/PGS001485.txt.gz |
| PGS001486 (GBE_INI25387) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (L) | neuroimaging measurement, brain volume |
402 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001486/ScoringFiles/PGS001486.txt.gz |
| PGS001487 (GBE_INI25386) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (R) | neuroimaging measurement, brain volume |
703 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001487/ScoringFiles/PGS001487.txt.gz |
| PGS001488 (GBE_INI25385) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior longitudinal fasciculus on FA skeleton (L) | neuroimaging measurement, brain volume |
1,974 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001488/ScoringFiles/PGS001488.txt.gz |
| PGS001489 (GBE_INI25384) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in superior longitudinal fasciculus on FA skeleton (R) | neuroimaging measurement, brain volume |
1,750 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001489/ScoringFiles/PGS001489.txt.gz |
| PGS001490 (GBE_INI25391) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in tapetum on FA skeleton (L) | neuroimaging measurement, brain volume |
1,117 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001490/ScoringFiles/PGS001490.txt.gz |
| PGS001491 (GBE_INI25389) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in uncinate fasciculus on FA skeleton (L) | neuroimaging measurement, brain volume |
962 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001491/ScoringFiles/PGS001491.txt.gz |
| PGS001492 (GBE_INI25388) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ICVF in uncinate fasciculus on FA skeleton (R) | neuroimaging measurement, brain volume |
641 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001492/ScoringFiles/PGS001492.txt.gz |
| PGS001493 (GBE_INI25463) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in anterior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
393 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001493/ScoringFiles/PGS001493.txt.gz |
| PGS001494 (GBE_INI25462) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in anterior corona radiata on FA skeleton (R) | neuroimaging measurement, brain volume |
116 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001494/ScoringFiles/PGS001494.txt.gz |
| PGS001495 (GBE_INI25443) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in body of corpus callosum on FA skeleton | neuroimaging measurement, brain volume |
627 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001495/ScoringFiles/PGS001495.txt.gz |
| PGS001496 (GBE_INI25475) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in cingulum cingulate gyrus on FA skeleton (L) | neuroimaging measurement, brain volume |
114 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001496/ScoringFiles/PGS001496.txt.gz |
| PGS001497 (GBE_INI25474) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in cingulum cingulate gyrus on FA skeleton (R) | neuroimaging measurement, brain volume |
157 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001497/ScoringFiles/PGS001497.txt.gz |
| PGS001498 (GBE_INI25473) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in external capsule on FA skeleton (L) | neuroimaging measurement, brain volume |
142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001498/ScoringFiles/PGS001498.txt.gz |
| PGS001499 (GBE_INI25445) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in fornix on FA skeleton | neuroimaging measurement, brain volume |
733 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001499/ScoringFiles/PGS001499.txt.gz |
| PGS001500 (GBE_INI25467) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in posterior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
466 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001500/ScoringFiles/PGS001500.txt.gz |
| PGS001501 (GBE_INI25469) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in posterior thalamic radiation on FA skeleton (L) | neuroimaging measurement, brain volume |
554 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001501/ScoringFiles/PGS001501.txt.gz |
| PGS001502 (GBE_INI25471) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in sagittal stratum on FA skeleton (L) | neuroimaging measurement, brain volume |
400 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001502/ScoringFiles/PGS001502.txt.gz |
| PGS001503 (GBE_INI25470) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in sagittal stratum on FA skeleton (R) | neuroimaging measurement, brain volume |
709 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001503/ScoringFiles/PGS001503.txt.gz |
| PGS001504 (GBE_INI25452) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in superior cerebellar peduncle on FA skeleton (R) | neuroimaging measurement, brain volume |
666 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001504/ScoringFiles/PGS001504.txt.gz |
| PGS001505 (GBE_INI25465) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in superior corona radiata on FA skeleton (L) | neuroimaging measurement, brain volume |
257 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001505/ScoringFiles/PGS001505.txt.gz |
| PGS001506 (GBE_INI25464) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean ISOVF in superior corona radiata on FA skeleton (R) | neuroimaging measurement, brain volume |
392 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001506/ScoringFiles/PGS001506.txt.gz |
| PGS001507 (GBE_INI25028) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in caudate (L) | neuroimaging measurement | 1,009 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001507/ScoringFiles/PGS001507.txt.gz |
| PGS001508 (GBE_INI25029) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in caudate (R) | neuroimaging measurement | 930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001508/ScoringFiles/PGS001508.txt.gz |
| PGS001509 (GBE_INI25032) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in pallidum (L) | neuroimaging measurement | 942 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001509/ScoringFiles/PGS001509.txt.gz |
| PGS001510 (GBE_INI25033) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in pallidum (R) | neuroimaging measurement | 2,164 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001510/ScoringFiles/PGS001510.txt.gz |
| PGS001511 (GBE_INI25030) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in putamen (L) | neuroimaging measurement | 1,922 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001511/ScoringFiles/PGS001511.txt.gz |
| PGS001512 (GBE_INI25031) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in putamen (R) | neuroimaging measurement | 2,474 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001512/ScoringFiles/PGS001512.txt.gz |
| PGS001513 (GBE_INI25027) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Median T2star in thalamus (R) | neuroimaging measurement | 114 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001513/ScoringFiles/PGS001513.txt.gz |
| PGS001534 (GBE_INI25781) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Total Volume of white matter hyperintensities (from T1 and T2 FLAIR images) | neuroimaging measurement, white matter hyperintensity measurement |
355 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001534/ScoringFiles/PGS001534.txt.gz |
| PGS001537 (GBE_INI25023) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of accumbens (L) | neuroimaging measurement, nucleus accumbens volume |
647 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001537/ScoringFiles/PGS001537.txt.gz |
| PGS001538 (GBE_INI25024) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of accumbens (R) | neuroimaging measurement, nucleus accumbens volume |
643 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001538/ScoringFiles/PGS001538.txt.gz |
| PGS001539 (GBE_INI25025) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of brain stem + 4th ventricle | neuroimaging measurement, brain stem volume, fourth ventricle volume |
1,183 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001539/ScoringFiles/PGS001539.txt.gz |
| PGS001540 (GBE_INI25010) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of brain, grey+white matter | neuroimaging measurement, grey matter volume measurement, white matter volume measurement |
1,871 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001540/ScoringFiles/PGS001540.txt.gz |
| PGS001541 (GBE_INI25009) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of brain, grey+white matter (normalised for head size) | neuroimaging measurement, grey matter volume measurement, white matter volume measurement |
1,999 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001541/ScoringFiles/PGS001541.txt.gz |
| PGS001542 (GBE_INI25013) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of caudate (L) | neuroimaging measurement, caudate nucleus volume |
1,055 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001542/ScoringFiles/PGS001542.txt.gz |
| PGS001543 (GBE_INI25014) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of caudate (R) | neuroimaging measurement, caudate nucleus volume |
1,910 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001543/ScoringFiles/PGS001543.txt.gz |
| PGS001544 (GBE_INI25006) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter | neuroimaging measurement, grey matter volume measurement |
2,061 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001544/ScoringFiles/PGS001544.txt.gz |
| PGS001545 (GBE_INI25005) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter (normalised for head size) | neuroimaging measurement, grey matter volume measurement |
1,139 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001545/ScoringFiles/PGS001545.txt.gz |
| PGS001546 (GBE_INI25888) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Amygdala (L) | neuroimaging measurement, grey matter volume measurement |
115 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001546/ScoringFiles/PGS001546.txt.gz |
| PGS001547 (GBE_INI25892) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Brain-Stem | neuroimaging measurement, grey matter volume measurement |
632 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001547/ScoringFiles/PGS001547.txt.gz |
| PGS001548 (GBE_INI25864) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Central Opercular Cortex (L) | neuroimaging measurement, grey matter volume measurement |
194 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001548/ScoringFiles/PGS001548.txt.gz |
| PGS001549 (GBE_INI25865) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Central Opercular Cortex (R) | neuroimaging measurement, grey matter volume measurement |
1,123 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001549/ScoringFiles/PGS001549.txt.gz |
| PGS001550 (GBE_INI25838) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Cingulate Gyrus, anterior division (L) | neuroimaging measurement, grey matter volume measurement |
389 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001550/ScoringFiles/PGS001550.txt.gz |
| PGS001551 (GBE_INI25839) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Cingulate Gyrus, anterior division (R) | neuroimaging measurement, grey matter volume measurement |
244 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001551/ScoringFiles/PGS001551.txt.gz |
| PGS001552 (GBE_INI25841) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Cingulate Gyrus, posterior division (R) | neuroimaging measurement, grey matter volume measurement |
652 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001552/ScoringFiles/PGS001552.txt.gz |
| PGS001553 (GBE_INI25902) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Crus I Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
2,371 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001553/ScoringFiles/PGS001553.txt.gz |
| PGS001554 (GBE_INI25903) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Crus II Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
1,913 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001554/ScoringFiles/PGS001554.txt.gz |
| PGS001555 (GBE_INI25905) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Crus II Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
2,510 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001555/ScoringFiles/PGS001555.txt.gz |
| PGS001556 (GBE_INI25845) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Cuneal Cortex (R) | neuroimaging measurement, grey matter volume measurement |
930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001556/ScoringFiles/PGS001556.txt.gz |
| PGS001557 (GBE_INI25862) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Frontal Operculum Cortex (L) | neuroimaging measurement, grey matter volume measurement |
804 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001557/ScoringFiles/PGS001557.txt.gz |
| PGS001558 (GBE_INI25846) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Frontal Orbital Cortex (L) | neuroimaging measurement, grey matter volume measurement |
826 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001558/ScoringFiles/PGS001558.txt.gz |
| PGS001559 (GBE_INI25847) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Frontal Orbital Cortex (R) | neuroimaging measurement, grey matter volume measurement |
592 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001559/ScoringFiles/PGS001559.txt.gz |
| PGS001560 (GBE_INI25782) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Frontal Pole (L) | neuroimaging measurement, grey matter volume measurement |
2,320 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001560/ScoringFiles/PGS001560.txt.gz |
| PGS001561 (GBE_INI25870) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | neuroimaging measurement, grey matter volume measurement |
1,604 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001561/ScoringFiles/PGS001561.txt.gz |
| PGS001562 (GBE_INI25871) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (R) | neuroimaging measurement, grey matter volume measurement |
1,524 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001562/ScoringFiles/PGS001562.txt.gz |
| PGS001563 (GBE_INI25886) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Hippocampus (L) | neuroimaging measurement, grey matter volume measurement |
1,427 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001563/ScoringFiles/PGS001563.txt.gz |
| PGS001564 (GBE_INI25887) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Hippocampus (R) | neuroimaging measurement, grey matter volume measurement |
1,336 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001564/ScoringFiles/PGS001564.txt.gz |
| PGS001565 (GBE_INI25893) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in I-IV Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
775 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001565/ScoringFiles/PGS001565.txt.gz |
| PGS001566 (GBE_INI25894) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in I-IV Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001566/ScoringFiles/PGS001566.txt.gz |
| PGS001567 (GBE_INI25791) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Inferior Frontal Gyrus, pars triangularis (R) | neuroimaging measurement, grey matter volume measurement |
697 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001567/ScoringFiles/PGS001567.txt.gz |
| PGS001568 (GBE_INI25810) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Inferior Temporal Gyrus, posterior division (L) | neuroimaging measurement, grey matter volume measurement |
288 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001568/ScoringFiles/PGS001568.txt.gz |
| PGS001569 (GBE_INI25784) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Insular Cortex (L) | neuroimaging measurement, grey matter volume measurement |
1,554 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001569/ScoringFiles/PGS001569.txt.gz |
| PGS001570 (GBE_INI25785) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Insular Cortex (R) | neuroimaging measurement, grey matter volume measurement |
1,365 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001570/ScoringFiles/PGS001570.txt.gz |
| PGS001571 (GBE_INI25828) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Intracalcarine Cortex (L) | neuroimaging measurement, grey matter volume measurement |
2,025 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001571/ScoringFiles/PGS001571.txt.gz |
| PGS001572 (GBE_INI25915) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in IX Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
1,245 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001572/ScoringFiles/PGS001572.txt.gz |
| PGS001573 (GBE_INI25917) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in IX Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
1,972 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001573/ScoringFiles/PGS001573.txt.gz |
| PGS001574 (GBE_INI25827) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Lateral Occipital Cortex, inferior division (R) | neuroimaging measurement, grey matter volume measurement |
1,159 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001574/ScoringFiles/PGS001574.txt.gz |
| PGS001575 (GBE_INI25825) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Lateral Occipital Cortex, superior division (R) | neuroimaging measurement, grey matter volume measurement |
581 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001575/ScoringFiles/PGS001575.txt.gz |
| PGS001576 (GBE_INI25853) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Lingual Gyrus (R) | neuroimaging measurement, grey matter volume measurement |
781 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001576/ScoringFiles/PGS001576.txt.gz |
| PGS001577 (GBE_INI25788) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Middle Frontal Gyrus (L) | neuroimaging measurement, grey matter volume measurement |
369 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001577/ScoringFiles/PGS001577.txt.gz |
| PGS001578 (GBE_INI25789) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Middle Frontal Gyrus (R) | neuroimaging measurement, grey matter volume measurement |
489 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001578/ScoringFiles/PGS001578.txt.gz |
| PGS001579 (GBE_INI25805) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Middle Temporal Gyrus, posterior division (R) | neuroimaging measurement, grey matter volume measurement |
1,076 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001579/ScoringFiles/PGS001579.txt.gz |
| PGS001580 (GBE_INI25860) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Occipital Fusiform Gyrus (L) | neuroimaging measurement, grey matter volume measurement |
235 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001580/ScoringFiles/PGS001580.txt.gz |
| PGS001581 (GBE_INI25877) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Occipital Pole (R) | neuroimaging measurement, grey matter volume measurement |
1,616 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001581/ScoringFiles/PGS001581.txt.gz |
| PGS001582 (GBE_INI25837) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Paracingulate Gyrus (R) | neuroimaging measurement, grey matter volume measurement |
145 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001582/ScoringFiles/PGS001582.txt.gz |
| PGS001583 (GBE_INI25848) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Parahippocampal Gyrus, anterior division (L) | neuroimaging measurement, grey matter volume measurement |
1,724 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001583/ScoringFiles/PGS001583.txt.gz |
| PGS001584 (GBE_INI25849) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Parahippocampal Gyrus, anterior division (R) | neuroimaging measurement, grey matter volume measurement |
1,250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001584/ScoringFiles/PGS001584.txt.gz |
| PGS001585 (GBE_INI25850) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Parahippocampal Gyrus, posterior division (L) | neuroimaging measurement, grey matter volume measurement |
1,120 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001585/ScoringFiles/PGS001585.txt.gz |
| PGS001586 (GBE_INI25851) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Parahippocampal Gyrus, posterior division (R) | neuroimaging measurement, grey matter volume measurement |
1,078 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001586/ScoringFiles/PGS001586.txt.gz |
| PGS001587 (GBE_INI25868) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Planum Polare (L) | neuroimaging measurement, grey matter volume measurement |
1,316 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001587/ScoringFiles/PGS001587.txt.gz |
| PGS001588 (GBE_INI25869) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Planum Polare (R) | neuroimaging measurement, grey matter volume measurement |
989 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001588/ScoringFiles/PGS001588.txt.gz |
| PGS001589 (GBE_INI25872) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Planum Temporale (L) | neuroimaging measurement, grey matter volume measurement |
2,019 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001589/ScoringFiles/PGS001589.txt.gz |
| PGS001590 (GBE_INI25794) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Precentral Gyrus (L) | neuroimaging measurement, grey matter volume measurement |
318 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001590/ScoringFiles/PGS001590.txt.gz |
| PGS001591 (GBE_INI25795) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Precentral Gyrus (R) | neuroimaging measurement, grey matter volume measurement |
1,370 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001591/ScoringFiles/PGS001591.txt.gz |
| PGS001592 (GBE_INI25842) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Precuneous Cortex (L) | neuroimaging measurement, grey matter volume measurement |
2,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001592/ScoringFiles/PGS001592.txt.gz |
| PGS001593 (GBE_INI25882) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Putamen (L) | neuroimaging measurement, grey matter volume measurement |
274 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001593/ScoringFiles/PGS001593.txt.gz |
| PGS001594 (GBE_INI25883) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Putamen (R) | neuroimaging measurement, grey matter volume measurement |
562 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001594/ScoringFiles/PGS001594.txt.gz |
| PGS001595 (GBE_INI25834) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Subcallosal Cortex (L) | neuroimaging measurement, grey matter volume measurement |
1,978 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001595/ScoringFiles/PGS001595.txt.gz |
| PGS001596 (GBE_INI25835) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Subcallosal Cortex (R) | neuroimaging measurement, grey matter volume measurement |
1,458 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001596/ScoringFiles/PGS001596.txt.gz |
| PGS001597 (GBE_INI25786) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Superior Frontal Gyrus (L) | neuroimaging measurement, superior frontal gyrus grey matter volume measurement |
1,049 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001597/ScoringFiles/PGS001597.txt.gz |
| PGS001598 (GBE_INI25787) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Superior Frontal Gyrus (R) | neuroimaging measurement, superior frontal gyrus grey matter volume measurement |
5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001598/ScoringFiles/PGS001598.txt.gz |
| PGS001599 (GBE_INI25798) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Superior Temporal Gyrus, anterior division (L) | neuroimaging measurement, grey matter volume measurement |
728 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001599/ScoringFiles/PGS001599.txt.gz |
| PGS001600 (GBE_INI25800) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Superior Temporal Gyrus, posterior division (L) | neuroimaging measurement, grey matter volume measurement |
530 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001600/ScoringFiles/PGS001600.txt.gz |
| PGS001601 (GBE_INI25874) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Supracalcarine Cortex (L) | neuroimaging measurement, grey matter volume measurement |
446 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001601/ScoringFiles/PGS001601.txt.gz |
| PGS001602 (GBE_INI25875) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Supracalcarine Cortex (R) | neuroimaging measurement, grey matter volume measurement |
527 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001602/ScoringFiles/PGS001602.txt.gz |
| PGS001603 (GBE_INI25854) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Temporal Fusiform Cortex, anterior division (L) | neuroimaging measurement, grey matter volume measurement |
264 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001603/ScoringFiles/PGS001603.txt.gz |
| PGS001604 (GBE_INI25856) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Temporal Fusiform Cortex, posterior division (L) | neuroimaging measurement, grey matter volume measurement |
1,533 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001604/ScoringFiles/PGS001604.txt.gz |
| PGS001605 (GBE_INI25857) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Temporal Fusiform Cortex, posterior division (R) | neuroimaging measurement, grey matter volume measurement |
1,447 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001605/ScoringFiles/PGS001605.txt.gz |
| PGS001606 (GBE_INI25796) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Temporal Pole (L) | neuroimaging measurement, grey matter volume measurement |
1,200 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001606/ScoringFiles/PGS001606.txt.gz |
| PGS001607 (GBE_INI25797) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Temporal Pole (R) | neuroimaging measurement, grey matter volume measurement |
1,025 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001607/ScoringFiles/PGS001607.txt.gz |
| PGS001608 (GBE_INI25878) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Thalamus (L) | neuroimaging measurement, grey matter volume measurement |
2,508 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001608/ScoringFiles/PGS001608.txt.gz |
| PGS001609 (GBE_INI25879) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Thalamus (R) | neuroimaging measurement, grey matter volume measurement |
885 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001609/ScoringFiles/PGS001609.txt.gz |
| PGS001610 (GBE_INI25895) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in V Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
1,592 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001610/ScoringFiles/PGS001610.txt.gz |
| PGS001611 (GBE_INI25896) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in V Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001611/ScoringFiles/PGS001611.txt.gz |
| PGS001612 (GBE_INI25890) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Ventral Striatum (L) | neuroimaging measurement, grey matter volume measurement |
687 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001612/ScoringFiles/PGS001612.txt.gz |
| PGS001613 (GBE_INI25891) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Ventral Striatum (R) | neuroimaging measurement, grey matter volume measurement |
221 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001613/ScoringFiles/PGS001613.txt.gz |
| PGS001614 (GBE_INI25904) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis Crus II Cerebellum | neuroimaging measurement, grey matter volume measurement |
837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001614/ScoringFiles/PGS001614.txt.gz |
| PGS001615 (GBE_INI25916) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis IX Cerebellum | neuroimaging measurement, grey matter volume measurement |
1,369 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001615/ScoringFiles/PGS001615.txt.gz |
| PGS001616 (GBE_INI25898) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis VI Cerebellum | neuroimaging measurement, grey matter volume measurement |
612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001616/ScoringFiles/PGS001616.txt.gz |
| PGS001617 (GBE_INI25907) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis VIIb Cerebellum | neuroimaging measurement, grey matter volume measurement |
718 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001617/ScoringFiles/PGS001617.txt.gz |
| PGS001618 (GBE_INI25910) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis VIIIa Cerebellum | neuroimaging measurement, grey matter volume measurement |
776 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001618/ScoringFiles/PGS001618.txt.gz |
| PGS001619 (GBE_INI25913) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis VIIIb Cerebellum | neuroimaging measurement, grey matter volume measurement |
1,916 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001619/ScoringFiles/PGS001619.txt.gz |
| PGS001620 (GBE_INI25919) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Vermis X Cerebellum | neuroimaging measurement, grey matter volume measurement |
636 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001620/ScoringFiles/PGS001620.txt.gz |
| PGS001621 (GBE_INI25897) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VI Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
902 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001621/ScoringFiles/PGS001621.txt.gz |
| PGS001622 (GBE_INI25899) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VI Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
513 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001622/ScoringFiles/PGS001622.txt.gz |
| PGS001623 (GBE_INI25906) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VIIb Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
649 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001623/ScoringFiles/PGS001623.txt.gz |
| PGS001624 (GBE_INI25908) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VIIb Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001624/ScoringFiles/PGS001624.txt.gz |
| PGS001625 (GBE_INI25909) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VIIIa Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
500 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001625/ScoringFiles/PGS001625.txt.gz |
| PGS001626 (GBE_INI25911) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VIIIa Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
694 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001626/ScoringFiles/PGS001626.txt.gz |
| PGS001627 (GBE_INI25912) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VIIIb Cerebellum (L) | neuroimaging measurement, grey matter volume measurement |
819 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001627/ScoringFiles/PGS001627.txt.gz |
| PGS001628 (GBE_INI25914) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in VIIIb Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
1,539 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001628/ScoringFiles/PGS001628.txt.gz |
| PGS001629 (GBE_INI25920) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in X Cerebellum (R) | neuroimaging measurement, grey matter volume measurement |
950 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001629/ScoringFiles/PGS001629.txt.gz |
| PGS001630 (GBE_INI25019) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of hippocampus (L) | neuroimaging measurement, hippocampal volume |
442 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001630/ScoringFiles/PGS001630.txt.gz |
| PGS001631 (GBE_INI25017) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of pallidum (L) | neuroimaging measurement, pallidum volume |
1,405 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001631/ScoringFiles/PGS001631.txt.gz |
| PGS001632 (GBE_INI25018) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of pallidum (R) | neuroimaging measurement, pallidum volume |
303 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001632/ScoringFiles/PGS001632.txt.gz |
| PGS001633 (GBE_INI25002) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of peripheral cortical grey matter | neuroimaging measurement, grey matter volume measurement |
1,920 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001633/ScoringFiles/PGS001633.txt.gz |
| PGS001634 (GBE_INI25001) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of peripheral cortical grey matter (normalised for head size) | neuroimaging measurement, grey matter volume measurement |
1,112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001634/ScoringFiles/PGS001634.txt.gz |
| PGS001635 (GBE_INI25015) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of putamen (L) | neuroimaging measurement, putamen volume |
747 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001635/ScoringFiles/PGS001635.txt.gz |
| PGS001636 (GBE_INI25016) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of putamen (R) | neuroimaging measurement, putamen volume |
2,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001636/ScoringFiles/PGS001636.txt.gz |
| PGS001637 (GBE_INI25011) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of thalamus (L) | neuroimaging measurement, thalamus volume |
1,328 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001637/ScoringFiles/PGS001637.txt.gz |
| PGS001638 (GBE_INI25012) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of thalamus (R) | neuroimaging measurement, thalamus volume |
1,792 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001638/ScoringFiles/PGS001638.txt.gz |
| PGS001639 (GBE_INI25004) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of ventricular cerebrospinal fluid | neuroimaging measurement, cerebrospinal fluid amount |
772 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001639/ScoringFiles/PGS001639.txt.gz |
| PGS001640 (GBE_INI25008) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of white matter | neuroimaging measurement, white matter volume measurement |
1,328 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001640/ScoringFiles/PGS001640.txt.gz |
| PGS001641 (GBE_INI25007) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of white matter (normalised for head size) | neuroimaging measurement, white matter volume measurement |
1,005 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001641/ScoringFiles/PGS001641.txt.gz |
| PGS001642 (GBE_INI25000) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volumetric scaling from T1 head image to standard space | neuroimaging measurement, brain volume |
1,304 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001642/ScoringFiles/PGS001642.txt.gz |
| PGS001643 (GBE_INI25488) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract acoustic radiation (L) | neuroimaging measurement, brain volume |
1,025 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001643/ScoringFiles/PGS001643.txt.gz |
| PGS001644 (GBE_INI25489) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract acoustic radiation (R) | neuroimaging measurement, brain volume |
826 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001644/ScoringFiles/PGS001644.txt.gz |
| PGS001645 (GBE_INI25490) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract anterior thalamic radiation (L) | neuroimaging measurement, brain volume |
379 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001645/ScoringFiles/PGS001645.txt.gz |
| PGS001646 (GBE_INI25491) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract anterior thalamic radiation (R) | neuroimaging measurement, brain volume |
726 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001646/ScoringFiles/PGS001646.txt.gz |
| PGS001647 (GBE_INI25492) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract cingulate gyrus part of cingulum (L) | neuroimaging measurement, brain volume |
773 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001647/ScoringFiles/PGS001647.txt.gz |
| PGS001648 (GBE_INI25493) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract cingulate gyrus part of cingulum (R) | neuroimaging measurement, brain volume |
702 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001648/ScoringFiles/PGS001648.txt.gz |
| PGS001649 (GBE_INI25497) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract corticospinal tract (R) | neuroimaging measurement, brain volume |
60 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001649/ScoringFiles/PGS001649.txt.gz |
| PGS001650 (GBE_INI25498) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract forceps major | neuroimaging measurement, brain volume |
1,261 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001650/ScoringFiles/PGS001650.txt.gz |
| PGS001651 (GBE_INI25499) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract forceps minor | neuroimaging measurement, brain volume |
2,017 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001651/ScoringFiles/PGS001651.txt.gz |
| PGS001652 (GBE_INI25500) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
597 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001652/ScoringFiles/PGS001652.txt.gz |
| PGS001653 (GBE_INI25501) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
1,371 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001653/ScoringFiles/PGS001653.txt.gz |
| PGS001654 (GBE_INI25502) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
709 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001654/ScoringFiles/PGS001654.txt.gz |
| PGS001655 (GBE_INI25503) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
767 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001655/ScoringFiles/PGS001655.txt.gz |
| PGS001656 (GBE_INI25507) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract posterior thalamic radiation (L) | neuroimaging measurement, brain volume |
1,044 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001656/ScoringFiles/PGS001656.txt.gz |
| PGS001657 (GBE_INI25508) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract posterior thalamic radiation (R) | neuroimaging measurement, brain volume |
1,279 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001657/ScoringFiles/PGS001657.txt.gz |
| PGS001658 (GBE_INI25509) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
2,671 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001658/ScoringFiles/PGS001658.txt.gz |
| PGS001659 (GBE_INI25513) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001659/ScoringFiles/PGS001659.txt.gz |
| PGS001660 (GBE_INI25514) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA FA in tract uncinate fasciculus (R) | neuroimaging measurement, brain volume |
205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001660/ScoringFiles/PGS001660.txt.gz |
| PGS001661 (GBE_INI25650) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract acoustic radiation (L) | neuroimaging measurement, brain volume |
1,563 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001661/ScoringFiles/PGS001661.txt.gz |
| PGS001662 (GBE_INI25651) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract acoustic radiation (R) | neuroimaging measurement, brain volume |
979 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001662/ScoringFiles/PGS001662.txt.gz |
| PGS001663 (GBE_INI25652) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract anterior thalamic radiation (L) | neuroimaging measurement, brain volume |
817 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001663/ScoringFiles/PGS001663.txt.gz |
| PGS001664 (GBE_INI25653) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract anterior thalamic radiation (R) | neuroimaging measurement, brain volume |
791 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001664/ScoringFiles/PGS001664.txt.gz |
| PGS001665 (GBE_INI25654) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract cingulate gyrus part of cingulum (L) | neuroimaging measurement, brain volume |
1,095 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001665/ScoringFiles/PGS001665.txt.gz |
| PGS001666 (GBE_INI25655) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract cingulate gyrus part of cingulum (R) | neuroimaging measurement, brain volume |
998 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001666/ScoringFiles/PGS001666.txt.gz |
| PGS001667 (GBE_INI25658) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract corticospinal tract (L) | neuroimaging measurement, brain volume |
1,128 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001667/ScoringFiles/PGS001667.txt.gz |
| PGS001668 (GBE_INI25659) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract corticospinal tract (R) | neuroimaging measurement, brain volume |
310 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001668/ScoringFiles/PGS001668.txt.gz |
| PGS001669 (GBE_INI25660) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract forceps major | neuroimaging measurement, brain volume |
1,466 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001669/ScoringFiles/PGS001669.txt.gz |
| PGS001670 (GBE_INI25661) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract forceps minor | neuroimaging measurement, brain volume |
2,047 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001670/ScoringFiles/PGS001670.txt.gz |
| PGS001671 (GBE_INI25662) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
2,008 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001671/ScoringFiles/PGS001671.txt.gz |
| PGS001672 (GBE_INI25663) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
1,964 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001672/ScoringFiles/PGS001672.txt.gz |
| PGS001673 (GBE_INI25664) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,804 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001673/ScoringFiles/PGS001673.txt.gz |
| PGS001674 (GBE_INI25665) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
1,872 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001674/ScoringFiles/PGS001674.txt.gz |
| PGS001675 (GBE_INI25667) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract medial lemniscus (L) | neuroimaging measurement, brain volume |
663 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001675/ScoringFiles/PGS001675.txt.gz |
| PGS001676 (GBE_INI25668) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract medial lemniscus (R) | neuroimaging measurement, brain volume |
600 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001676/ScoringFiles/PGS001676.txt.gz |
| PGS001677 (GBE_INI25666) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract middle cerebellar peduncle | neuroimaging measurement, brain volume |
512 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001677/ScoringFiles/PGS001677.txt.gz |
| PGS001678 (GBE_INI25656) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract parahippocampal part of cingulum (L) | neuroimaging measurement, brain volume |
449 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001678/ScoringFiles/PGS001678.txt.gz |
| PGS001679 (GBE_INI25657) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract parahippocampal part of cingulum (R) | neuroimaging measurement, brain volume |
955 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001679/ScoringFiles/PGS001679.txt.gz |
| PGS001680 (GBE_INI25669) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract posterior thalamic radiation (L) | neuroimaging measurement, brain volume |
1,264 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001680/ScoringFiles/PGS001680.txt.gz |
| PGS001681 (GBE_INI25670) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract posterior thalamic radiation (R) | neuroimaging measurement, brain volume |
1,618 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001681/ScoringFiles/PGS001681.txt.gz |
| PGS001682 (GBE_INI25671) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
2,131 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001682/ScoringFiles/PGS001682.txt.gz |
| PGS001683 (GBE_INI25672) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract superior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
1,652 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001683/ScoringFiles/PGS001683.txt.gz |
| PGS001684 (GBE_INI25673) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract superior thalamic radiation (L) | neuroimaging measurement, brain volume |
1,165 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001684/ScoringFiles/PGS001684.txt.gz |
| PGS001685 (GBE_INI25674) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
1,474 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001685/ScoringFiles/PGS001685.txt.gz |
| PGS001686 (GBE_INI25675) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
136 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001686/ScoringFiles/PGS001686.txt.gz |
| PGS001687 (GBE_INI25676) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ICVF in tract uncinate fasciculus (R) | neuroimaging measurement, brain volume |
837 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001687/ScoringFiles/PGS001687.txt.gz |
| PGS001688 (GBE_INI25704) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract acoustic radiation (L) | neuroimaging measurement, brain volume |
231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001688/ScoringFiles/PGS001688.txt.gz |
| PGS001689 (GBE_INI25705) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract acoustic radiation (R) | neuroimaging measurement, brain volume |
725 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001689/ScoringFiles/PGS001689.txt.gz |
| PGS001690 (GBE_INI25707) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract anterior thalamic radiation (R) | neuroimaging measurement, brain volume |
130 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001690/ScoringFiles/PGS001690.txt.gz |
| PGS001691 (GBE_INI25708) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract cingulate gyrus part of cingulum (L) | neuroimaging measurement, brain volume |
477 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001691/ScoringFiles/PGS001691.txt.gz |
| PGS001692 (GBE_INI25709) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract cingulate gyrus part of cingulum (R) | neuroimaging measurement, brain volume |
245 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001692/ScoringFiles/PGS001692.txt.gz |
| PGS001693 (GBE_INI25716) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
1,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001693/ScoringFiles/PGS001693.txt.gz |
| PGS001694 (GBE_INI25717) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
1,146 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001694/ScoringFiles/PGS001694.txt.gz |
| PGS001695 (GBE_INI25718) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,123 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001695/ScoringFiles/PGS001695.txt.gz |
| PGS001696 (GBE_INI25719) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
1,688 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001696/ScoringFiles/PGS001696.txt.gz |
| PGS001697 (GBE_INI25724) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract posterior thalamic radiation (R) | neuroimaging measurement, brain volume |
72 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001697/ScoringFiles/PGS001697.txt.gz |
| PGS001698 (GBE_INI25725) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
695 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001698/ScoringFiles/PGS001698.txt.gz |
| PGS001699 (GBE_INI25726) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract superior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
197 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001699/ScoringFiles/PGS001699.txt.gz |
| PGS001700 (GBE_INI25727) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract superior thalamic radiation (L) | neuroimaging measurement, brain volume |
538 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001700/ScoringFiles/PGS001700.txt.gz |
| PGS001701 (GBE_INI25728) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
174 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001701/ScoringFiles/PGS001701.txt.gz |
| PGS001702 (GBE_INI25729) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001702/ScoringFiles/PGS001702.txt.gz |
| PGS001703 (GBE_INI25730) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA ISOVF in tract uncinate fasciculus (R) | neuroimaging measurement, brain volume |
83 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001703/ScoringFiles/PGS001703.txt.gz |
| PGS001704 (GBE_INI25580) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract forceps minor | neuroimaging measurement, brain volume |
514 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001704/ScoringFiles/PGS001704.txt.gz |
| PGS001705 (GBE_INI25581) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
547 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001705/ScoringFiles/PGS001705.txt.gz |
| PGS001706 (GBE_INI25582) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
322 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001706/ScoringFiles/PGS001706.txt.gz |
| PGS001707 (GBE_INI25583) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
499 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001707/ScoringFiles/PGS001707.txt.gz |
| PGS001708 (GBE_INI25584) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
316 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001708/ScoringFiles/PGS001708.txt.gz |
| PGS001709 (GBE_INI25590) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,382 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001709/ScoringFiles/PGS001709.txt.gz |
| PGS001710 (GBE_INI25591) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract superior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
534 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001710/ScoringFiles/PGS001710.txt.gz |
| PGS001711 (GBE_INI25592) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract superior thalamic radiation (L) | neuroimaging measurement, brain volume |
457 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001711/ScoringFiles/PGS001711.txt.gz |
| PGS001712 (GBE_INI25593) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
358 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001712/ScoringFiles/PGS001712.txt.gz |
| PGS001713 (GBE_INI25594) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L1 in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001713/ScoringFiles/PGS001713.txt.gz |
| PGS001714 (GBE_INI25597) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract acoustic radiation (R) | neuroimaging measurement, brain volume |
993 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001714/ScoringFiles/PGS001714.txt.gz |
| PGS001715 (GBE_INI25598) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract anterior thalamic radiation (L) | neuroimaging measurement, brain volume |
170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001715/ScoringFiles/PGS001715.txt.gz |
| PGS001716 (GBE_INI25599) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract anterior thalamic radiation (R) | neuroimaging measurement, brain volume |
290 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001716/ScoringFiles/PGS001716.txt.gz |
| PGS001717 (GBE_INI25600) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract cingulate gyrus part of cingulum (L) | neuroimaging measurement, brain volume |
82 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001717/ScoringFiles/PGS001717.txt.gz |
| PGS001718 (GBE_INI25601) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract cingulate gyrus part of cingulum (R) | neuroimaging measurement, brain volume |
305 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001718/ScoringFiles/PGS001718.txt.gz |
| PGS001719 (GBE_INI25606) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract forceps major | neuroimaging measurement, brain volume |
924 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001719/ScoringFiles/PGS001719.txt.gz |
| PGS001720 (GBE_INI25607) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract forceps minor | neuroimaging measurement, brain volume |
1,030 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001720/ScoringFiles/PGS001720.txt.gz |
| PGS001721 (GBE_INI25608) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
691 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001721/ScoringFiles/PGS001721.txt.gz |
| PGS001722 (GBE_INI25609) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
814 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001722/ScoringFiles/PGS001722.txt.gz |
| PGS001723 (GBE_INI25610) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
711 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001723/ScoringFiles/PGS001723.txt.gz |
| PGS001724 (GBE_INI25611) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
793 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001724/ScoringFiles/PGS001724.txt.gz |
| PGS001725 (GBE_INI25617) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,749 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001725/ScoringFiles/PGS001725.txt.gz |
| PGS001726 (GBE_INI25619) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract superior thalamic radiation (L) | neuroimaging measurement, brain volume |
683 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001726/ScoringFiles/PGS001726.txt.gz |
| PGS001727 (GBE_INI25621) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
709 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001727/ScoringFiles/PGS001727.txt.gz |
| PGS001728 (GBE_INI25622) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L2 in tract uncinate fasciculus (R) | neuroimaging measurement, brain volume |
706 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001728/ScoringFiles/PGS001728.txt.gz |
| PGS001729 (GBE_INI25624) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract acoustic radiation (R) | neuroimaging measurement, brain volume |
794 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001729/ScoringFiles/PGS001729.txt.gz |
| PGS001730 (GBE_INI25625) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract anterior thalamic radiation (L) | neuroimaging measurement, brain volume |
200 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001730/ScoringFiles/PGS001730.txt.gz |
| PGS001731 (GBE_INI25626) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract anterior thalamic radiation (R) | neuroimaging measurement, brain volume |
432 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001731/ScoringFiles/PGS001731.txt.gz |
| PGS001732 (GBE_INI25627) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract cingulate gyrus part of cingulum (L) | neuroimaging measurement, brain volume |
1,611 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001732/ScoringFiles/PGS001732.txt.gz |
| PGS001733 (GBE_INI25628) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract cingulate gyrus part of cingulum (R) | neuroimaging measurement, brain volume |
1,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001733/ScoringFiles/PGS001733.txt.gz |
| PGS001734 (GBE_INI25634) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract forceps minor | neuroimaging measurement, brain volume |
1,536 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001734/ScoringFiles/PGS001734.txt.gz |
| PGS001735 (GBE_INI25635) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
945 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001735/ScoringFiles/PGS001735.txt.gz |
| PGS001736 (GBE_INI25636) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
864 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001736/ScoringFiles/PGS001736.txt.gz |
| PGS001737 (GBE_INI25637) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
919 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001737/ScoringFiles/PGS001737.txt.gz |
| PGS001738 (GBE_INI25638) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001738/ScoringFiles/PGS001738.txt.gz |
| PGS001739 (GBE_INI25644) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,884 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001739/ScoringFiles/PGS001739.txt.gz |
| PGS001740 (GBE_INI25646) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract superior thalamic radiation (L) | neuroimaging measurement, brain volume |
855 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001740/ScoringFiles/PGS001740.txt.gz |
| PGS001741 (GBE_INI25647) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
1,510 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001741/ScoringFiles/PGS001741.txt.gz |
| PGS001742 (GBE_INI25648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
755 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001742/ScoringFiles/PGS001742.txt.gz |
| PGS001743 (GBE_INI25649) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA L3 in tract uncinate fasciculus (R) | neuroimaging measurement, brain volume |
1,320 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001743/ScoringFiles/PGS001743.txt.gz |
| PGS001744 (GBE_INI25516) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract acoustic radiation (R) | neuroimaging measurement, brain volume |
315 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001744/ScoringFiles/PGS001744.txt.gz |
| PGS001745 (GBE_INI25517) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract anterior thalamic radiation (L) | neuroimaging measurement, brain volume |
171 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001745/ScoringFiles/PGS001745.txt.gz |
| PGS001746 (GBE_INI25519) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract cingulate gyrus part of cingulum (L) | neuroimaging measurement, brain volume |
296 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001746/ScoringFiles/PGS001746.txt.gz |
| PGS001747 (GBE_INI25520) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract cingulate gyrus part of cingulum (R) | neuroimaging measurement, brain volume |
767 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001747/ScoringFiles/PGS001747.txt.gz |
| PGS001748 (GBE_INI25525) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract forceps major | neuroimaging measurement, brain volume |
209 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001748/ScoringFiles/PGS001748.txt.gz |
| PGS001749 (GBE_INI25526) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract forceps minor | neuroimaging measurement, brain volume |
1,164 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001749/ScoringFiles/PGS001749.txt.gz |
| PGS001750 (GBE_INI25527) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract inferior fronto-occipital fasciculus (L) | neuroimaging measurement, brain volume |
813 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001750/ScoringFiles/PGS001750.txt.gz |
| PGS001751 (GBE_INI25528) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract inferior fronto-occipital fasciculus (R) | neuroimaging measurement, brain volume |
702 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001751/ScoringFiles/PGS001751.txt.gz |
| PGS001752 (GBE_INI25529) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract inferior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
572 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001752/ScoringFiles/PGS001752.txt.gz |
| PGS001753 (GBE_INI25530) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
975 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001753/ScoringFiles/PGS001753.txt.gz |
| PGS001754 (GBE_INI25536) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001754/ScoringFiles/PGS001754.txt.gz |
| PGS001755 (GBE_INI25538) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract superior thalamic radiation (L) | neuroimaging measurement, brain volume |
610 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001755/ScoringFiles/PGS001755.txt.gz |
| PGS001756 (GBE_INI25539) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
96 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001756/ScoringFiles/PGS001756.txt.gz |
| PGS001757 (GBE_INI25540) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract uncinate fasciculus (L) | neuroimaging measurement, brain volume |
872 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001757/ScoringFiles/PGS001757.txt.gz |
| PGS001758 (GBE_INI25541) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MD in tract uncinate fasciculus (R) | neuroimaging measurement, brain volume |
1,033 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001758/ScoringFiles/PGS001758.txt.gz |
| PGS001759 (GBE_INI25553) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract forceps minor | neuroimaging measurement, brain volume |
1,836 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001759/ScoringFiles/PGS001759.txt.gz |
| PGS001760 (GBE_INI25560) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract medial lemniscus (R) | neuroimaging measurement, brain volume |
258 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001760/ScoringFiles/PGS001760.txt.gz |
| PGS001761 (GBE_INI25558) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract middle cerebellar peduncle | neuroimaging measurement, brain volume |
47 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001761/ScoringFiles/PGS001761.txt.gz |
| PGS001762 (GBE_INI25561) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract posterior thalamic radiation (L) | neuroimaging measurement, brain volume |
721 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001762/ScoringFiles/PGS001762.txt.gz |
| PGS001763 (GBE_INI25562) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract posterior thalamic radiation (R) | neuroimaging measurement, brain volume |
342 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001763/ScoringFiles/PGS001763.txt.gz |
| PGS001764 (GBE_INI25563) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
961 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001764/ScoringFiles/PGS001764.txt.gz |
| PGS001765 (GBE_INI25566) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA MO in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
1,023 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001765/ScoringFiles/PGS001765.txt.gz |
| PGS001766 (GBE_INI25685) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA OD in tract corticospinal tract (L) | neuroimaging measurement, brain volume |
1 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001766/ScoringFiles/PGS001766.txt.gz |
| PGS001767 (GBE_INI25692) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA OD in tract inferior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
378 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001767/ScoringFiles/PGS001767.txt.gz |
| PGS001768 (GBE_INI25694) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA OD in tract medial lemniscus (L) | neuroimaging measurement, brain volume |
297 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001768/ScoringFiles/PGS001768.txt.gz |
| PGS001769 (GBE_INI25698) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA OD in tract superior longitudinal fasciculus (L) | neuroimaging measurement, brain volume |
1,298 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001769/ScoringFiles/PGS001769.txt.gz |
| PGS001770 (GBE_INI25699) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA OD in tract superior longitudinal fasciculus (R) | neuroimaging measurement, brain volume |
726 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001770/ScoringFiles/PGS001770.txt.gz |
| PGS001771 (GBE_INI25701) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
WA OD in tract superior thalamic radiation (R) | neuroimaging measurement, brain volume |
1,352 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001771/ScoringFiles/PGS001771.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM005550 | PGS001415 (GBE_INI25073) |
PSS005386| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.13016 [0.1149, 0.14541] Incremental R2 (full-covars): -0.01152 PGS R2 (no covariates): 0.00308 [0.00039, 0.00577] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005551 | PGS001415 (GBE_INI25073) |
PSS005387| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.1652 [0.13305, 0.19736] Incremental R2 (full-covars): 0.00101 PGS R2 (no covariates): 0.00369 [-0.00205, 0.00942] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005552 | PGS001415 (GBE_INI25073) |
PSS005388| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.08964 [0.08287, 0.09641] Incremental R2 (full-covars): 0.00698 PGS R2 (no covariates): 0.00749 [0.00536, 0.00962] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005553 | PGS001415 (GBE_INI25073) |
PSS005389| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.07308 [0.06198, 0.08417] Incremental R2 (full-covars): 0.00925 PGS R2 (no covariates): 0.01038 [0.00592, 0.01485] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005554 | PGS001415 (GBE_INI25073) |
PSS005390| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.07044 [0.06672, 0.07417] Incremental R2 (full-covars): 0.01315 PGS R2 (no covariates): 0.01414 [0.01237, 0.01591] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005545 | PGS001416 (GBE_INI25072) |
PSS005381| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.12742 [0.11228, 0.14255] Incremental R2 (full-covars): -0.01571 PGS R2 (no covariates): 0.00174 [-0.00028, 0.00377] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005546 | PGS001416 (GBE_INI25072) |
PSS005382| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.12824 [0.09865, 0.15782] Incremental R2 (full-covars): 0.02196 PGS R2 (no covariates): 0.02948 [0.01369, 0.04528] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005547 | PGS001416 (GBE_INI25072) |
PSS005383| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.0813 [0.07479, 0.0878] Incremental R2 (full-covars): 0.01187 PGS R2 (no covariates): 0.01431 [0.01138, 0.01723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005548 | PGS001416 (GBE_INI25072) |
PSS005384| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.04851 [0.03923, 0.05778] Incremental R2 (full-covars): 0.0044 PGS R2 (no covariates): 0.00984 [0.00549, 0.01418] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005549 | PGS001416 (GBE_INI25072) |
PSS005385| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.06616 [0.06253, 0.06979] Incremental R2 (full-covars): 0.01169 PGS R2 (no covariates): 0.01223 [0.01058, 0.01388] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005505 | PGS001417 (GBE_INI25059) |
PSS005341| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in body of corpus callosum on FA skeleton | — | — | R²: 0.12719 [0.11206, 0.14232] Incremental R2 (full-covars): -0.00888 PGS R2 (no covariates): 0.00377 [0.0008, 0.00674] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005506 | PGS001417 (GBE_INI25059) |
PSS005342| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in body of corpus callosum on FA skeleton | — | — | R²: 0.2863 [0.25011, 0.32249] Incremental R2 (full-covars): 0.01833 PGS R2 (no covariates): 0.03485 [0.01777, 0.05192] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005507 | PGS001417 (GBE_INI25059) |
PSS005343| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in body of corpus callosum on FA skeleton | — | — | R²: 0.11346 [0.10605, 0.12088] Incremental R2 (full-covars): 0.01418 PGS R2 (no covariates): 0.01339 [0.01056, 0.01623] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005508 | PGS001417 (GBE_INI25059) |
PSS005344| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in body of corpus callosum on FA skeleton | — | — | R²: 0.19681 [0.18104, 0.21259] Incremental R2 (full-covars): 0.00325 PGS R2 (no covariates): 0.00985 [0.0055, 0.0142] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005509 | PGS001417 (GBE_INI25059) |
PSS005345| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in body of corpus callosum on FA skeleton | — | — | R²: 0.09284 [0.08866, 0.09701] Incremental R2 (full-covars): 0.01479 PGS R2 (no covariates): 0.01463 [0.01283, 0.01643] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005540 | PGS001418 (GBE_INI25071) |
PSS005376| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.11147 [0.09705, 0.12588] Incremental R2 (full-covars): -0.02276 PGS R2 (no covariates): 0.00206 [-0.00014, 0.00427] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005541 | PGS001418 (GBE_INI25071) |
PSS005377| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.12052 [0.09158, 0.14945] Incremental R2 (full-covars): 0.00569 PGS R2 (no covariates): 0.00986 [0.00054, 0.01917] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005542 | PGS001418 (GBE_INI25071) |
PSS005378| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.09623 [0.08927, 0.10319] Incremental R2 (full-covars): -0.00049 PGS R2 (no covariates): 0.00401 [0.00244, 0.00558] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005543 | PGS001418 (GBE_INI25071) |
PSS005379| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.08765 [0.07569, 0.09961] Incremental R2 (full-covars): 0.00458 PGS R2 (no covariates): 0.00358 [0.00094, 0.00622] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005544 | PGS001418 (GBE_INI25071) |
PSS005380| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.07706 [0.0732, 0.08093] Incremental R2 (full-covars): 0.00216 PGS R2 (no covariates): 0.0044 [0.0034, 0.00539] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005615 | PGS001419 (GBE_INI25091) |
PSS005451| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.18767 [0.17056, 0.20477] Incremental R2 (full-covars): -0.00093 PGS R2 (no covariates): 0.00137 [-0.00043, 0.00316] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005616 | PGS001419 (GBE_INI25091) |
PSS005452| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.11248 [0.08427, 0.14068] Incremental R2 (full-covars): 0.02441 PGS R2 (no covariates): 0.03268 [0.01611, 0.04926] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005617 | PGS001419 (GBE_INI25091) |
PSS005453| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.11218 [0.10479, 0.11956] Incremental R2 (full-covars): 0.00605 PGS R2 (no covariates): 0.00728 [0.00518, 0.00939] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005618 | PGS001419 (GBE_INI25091) |
PSS005454| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.13659 [0.12246, 0.15072] Incremental R2 (full-covars): 0.00803 PGS R2 (no covariates): 0.01392 [0.00877, 0.01907] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005619 | PGS001419 (GBE_INI25091) |
PSS005455| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.09493 [0.09072, 0.09914] Incremental R2 (full-covars): 0.01319 PGS R2 (no covariates): 0.01229 [0.01064, 0.01395] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005610 | PGS001420 (GBE_INI25090) |
PSS005446| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.15461 [0.13845, 0.17076] Incremental R2 (full-covars): -0.00444 PGS R2 (no covariates): 0.00076 [-0.00058, 0.0021] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005611 | PGS001420 (GBE_INI25090) |
PSS005447| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.20558 [0.17145, 0.23972] Incremental R2 (full-covars): 0.01385 PGS R2 (no covariates): 0.03292 [0.01629, 0.04955] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005612 | PGS001420 (GBE_INI25090) |
PSS005448| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.10011 [0.09303, 0.10718] Incremental R2 (full-covars): 0.00729 PGS R2 (no covariates): 0.01119 [0.00859, 0.01379] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005613 | PGS001420 (GBE_INI25090) |
PSS005449| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.12454 [0.11086, 0.13822] Incremental R2 (full-covars): 0.02431 PGS R2 (no covariates): 0.03649 [0.02834, 0.04464] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005614 | PGS001420 (GBE_INI25090) |
PSS005450| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.08646 [0.0824, 0.09051] Incremental R2 (full-covars): 0.01424 PGS R2 (no covariates): 0.0149 [0.01309, 0.01672] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005625 | PGS001421 (GBE_INI25093) |
PSS005461| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.08898 [0.07577, 0.10219] Incremental R2 (full-covars): -0.00971 PGS R2 (no covariates): 0.00203 [-0.00015, 0.00422] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005626 | PGS001421 (GBE_INI25093) |
PSS005462| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.13216 [0.10226, 0.16206] Incremental R2 (full-covars): -0.00489 PGS R2 (no covariates): 3e-05 [-0.00047, 0.00053] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005627 | PGS001421 (GBE_INI25093) |
PSS005463| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.05152 [0.04617, 0.05687] Incremental R2 (full-covars): 0.00388 PGS R2 (no covariates): 0.00442 [0.00277, 0.00606] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005628 | PGS001421 (GBE_INI25093) |
PSS005464| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.06422 [0.05372, 0.07472] Incremental R2 (full-covars): 0.00514 PGS R2 (no covariates): 0.00915 [0.00496, 0.01335] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005629 | PGS001421 (GBE_INI25093) |
PSS005465| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.03296 [0.03031, 0.03561] Incremental R2 (full-covars): 0.00467 PGS R2 (no covariates): 0.00473 [0.00369, 0.00576] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005620 | PGS001422 (GBE_INI25092) |
PSS005456| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.10917 [0.09486, 0.12347] Incremental R2 (full-covars): 0.00472 PGS R2 (no covariates): 0.00773 [0.00349, 0.01197] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005621 | PGS001422 (GBE_INI25092) |
PSS005457| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.12424 [0.09499, 0.15349] Incremental R2 (full-covars): -0.00525 PGS R2 (no covariates): 0.00698 [-0.00088, 0.01485] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005622 | PGS001422 (GBE_INI25092) |
PSS005458| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.06602 [0.06006, 0.07198] Incremental R2 (full-covars): 0.00199 PGS R2 (no covariates): 0.0038 [0.00228, 0.00533] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005623 | PGS001422 (GBE_INI25092) |
PSS005459| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.04232 [0.0336, 0.05105] Incremental R2 (full-covars): 0.00673 PGS R2 (no covariates): 0.01284 [0.00789, 0.01779] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005624 | PGS001422 (GBE_INI25092) |
PSS005460| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.03947 [0.03659, 0.04235] Incremental R2 (full-covars): 0.00485 PGS R2 (no covariates): 0.00545 [0.00434, 0.00655] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005520 | PGS001423 (GBE_INI25062) |
PSS005356| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in corticospinal tract on FA skeleton (R) | — | — | R²: 0.15486 [0.1387, 0.17103] Incremental R2 (full-covars): -0.00402 PGS R2 (no covariates): 0.00347 [0.00062, 0.00633] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005521 | PGS001423 (GBE_INI25062) |
PSS005357| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in corticospinal tract on FA skeleton (R) | — | — | R²: 0.21721 [0.18263, 0.25178] Incremental R2 (full-covars): 0.01123 PGS R2 (no covariates): 0.01755 [0.00522, 0.02988] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005522 | PGS001423 (GBE_INI25062) |
PSS005358| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in corticospinal tract on FA skeleton (R) | — | — | R²: 0.09872 [0.09168, 0.10575] Incremental R2 (full-covars): 0.0049 PGS R2 (no covariates): 0.00459 [0.00291, 0.00626] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005523 | PGS001423 (GBE_INI25062) |
PSS005359| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in corticospinal tract on FA skeleton (R) | — | — | R²: 0.14299 [0.12865, 0.15734] Incremental R2 (full-covars): 0.00738 PGS R2 (no covariates): 0.00545 [0.0022, 0.0087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005524 | PGS001423 (GBE_INI25062) |
PSS005360| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in corticospinal tract on FA skeleton (R) | — | — | R²: 0.08376 [0.07975, 0.08776] Incremental R2 (full-covars): 0.00401 PGS R2 (no covariates): 0.00381 [0.00288, 0.00474] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005605 | PGS001424 (GBE_INI25088) |
PSS005441| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in external capsule on FA skeleton (R) | — | — | R²: 0.14922 [0.13325, 0.1652] Incremental R2 (full-covars): 0.00132 PGS R2 (no covariates): 0.00224 [-0.00006, 0.00453] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005606 | PGS001424 (GBE_INI25088) |
PSS005442| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in external capsule on FA skeleton (R) | — | — | R²: 0.23453 [0.1994, 0.26966] Incremental R2 (full-covars): 0.03597 PGS R2 (no covariates): 0.0596 [0.03784, 0.08136] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005607 | PGS001424 (GBE_INI25088) |
PSS005443| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in external capsule on FA skeleton (R) | — | — | R²: 0.12747 [0.11973, 0.1352] Incremental R2 (full-covars): 0.00684 PGS R2 (no covariates): 0.00808 [0.00587, 0.0103] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005608 | PGS001424 (GBE_INI25088) |
PSS005444| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in external capsule on FA skeleton (R) | — | — | R²: 0.12498 [0.11128, 0.13868] Incremental R2 (full-covars): 0.01167 PGS R2 (no covariates): 0.00266 [0.00038, 0.00494] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005609 | PGS001424 (GBE_INI25088) |
PSS005445| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in external capsule on FA skeleton (R) | — | — | R²: 0.10575 [0.10137, 0.11014] Incremental R2 (full-covars): 0.00882 PGS R2 (no covariates): 0.00941 [0.00796, 0.01086] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005630 | PGS001425 (GBE_INI25094) |
PSS005466| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.24117 [0.22306, 0.25929] Incremental R2 (full-covars): -0.00159 PGS R2 (no covariates): 0.0008 [-0.00057, 0.00218] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005631 | PGS001425 (GBE_INI25094) |
PSS005467| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.25447 [0.21883, 0.29011] Incremental R2 (full-covars): -0.01862 PGS R2 (no covariates): 0.00173 [-0.00221, 0.00567] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005632 | PGS001425 (GBE_INI25094) |
PSS005468| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.24781 [0.23851, 0.25711] Incremental R2 (full-covars): 0.00784 PGS R2 (no covariates): 0.00998 [0.00752, 0.01243] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005633 | PGS001425 (GBE_INI25094) |
PSS005469| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.28903 [0.27211, 0.30595] Incremental R2 (full-covars): 0.0043 PGS R2 (no covariates): 0.00438 [0.00146, 0.0073] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005634 | PGS001425 (GBE_INI25094) |
PSS005470| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.21353 [0.20805, 0.21902] Incremental R2 (full-covars): 0.00284 PGS R2 (no covariates): 0.00511 [0.00403, 0.00618] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005515 | PGS001426 (GBE_INI25061) |
PSS005351| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.37524 [0.35663, 0.39384] Incremental R2 (full-covars): 0.01503 PGS R2 (no covariates): 0.01375 [0.00813, 0.01937] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005516 | PGS001426 (GBE_INI25061) |
PSS005352| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.33543 [0.29896, 0.37191] Incremental R2 (full-covars): -0.04533 PGS R2 (no covariates): 0.02452 [0.01004, 0.039] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005517 | PGS001426 (GBE_INI25061) |
PSS005353| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.26876 [0.25935, 0.27818] Incremental R2 (full-covars): 0.00737 PGS R2 (no covariates): 0.00777 [0.0056, 0.00995] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005518 | PGS001426 (GBE_INI25061) |
PSS005354| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.32937 [0.31233, 0.34641] Incremental R2 (full-covars): 0.00156 PGS R2 (no covariates): 0.00237 [0.00022, 0.00453] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005519 | PGS001426 (GBE_INI25061) |
PSS005355| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in fornix on FA skeleton | — | — | R²: 0.26795 [0.26223, 0.27367] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.00732 [0.00604, 0.0086] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005500 | PGS001427 (GBE_INI25058) |
PSS005336| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in genu of corpus callosum on FA skeleton | — | — | R²: 0.19438 [0.17711, 0.21164] Incremental R2 (full-covars): -0.0199 PGS R2 (no covariates): 0.00733 [0.0032, 0.01145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005501 | PGS001427 (GBE_INI25058) |
PSS005337| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in genu of corpus callosum on FA skeleton | — | — | R²: 0.29243 [0.25617, 0.32869] Incremental R2 (full-covars): 0.02704 PGS R2 (no covariates): 0.03509 [0.01796, 0.05221] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005502 | PGS001427 (GBE_INI25058) |
PSS005338| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in genu of corpus callosum on FA skeleton | — | — | R²: 0.16495 [0.15653, 0.17337] Incremental R2 (full-covars): 0.01429 PGS R2 (no covariates): 0.01258 [0.00983, 0.01533] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005503 | PGS001427 (GBE_INI25058) |
PSS005339| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in genu of corpus callosum on FA skeleton | — | — | R²: 0.20315 [0.18725, 0.21906] Incremental R2 (full-covars): 0.01687 PGS R2 (no covariates): 0.02269 [0.01617, 0.02921] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005504 | PGS001427 (GBE_INI25058) |
PSS005340| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in genu of corpus callosum on FA skeleton | — | — | R²: 0.13303 [0.12826, 0.1378] Incremental R2 (full-covars): 0.01928 PGS R2 (no covariates): 0.01891 [0.01688, 0.02095] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005525 | PGS001428 (GBE_INI25066) |
PSS005361| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.07125 [0.0592, 0.0833] Incremental R2 (full-covars): -0.01149 PGS R2 (no covariates): 0.00029 [-0.00054, 0.00111] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005526 | PGS001428 (GBE_INI25066) |
PSS005362| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.09119 [0.06518, 0.11719] Incremental R2 (full-covars): 0.02896 PGS R2 (no covariates): 0.02741 [0.01215, 0.04267] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005527 | PGS001428 (GBE_INI25066) |
PSS005363| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.0878 [0.08108, 0.09451] Incremental R2 (full-covars): -0.0033 PGS R2 (no covariates): 0.00086 [0.00013, 0.00159] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005528 | PGS001428 (GBE_INI25066) |
PSS005364| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.07166 [0.06066, 0.08266] Incremental R2 (full-covars): 0.00024 PGS R2 (no covariates): 0.00222 [0.00014, 0.00431] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005529 | PGS001428 (GBE_INI25066) |
PSS005365| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.05706 [0.05366, 0.06046] Incremental R2 (full-covars): 0.00454 PGS R2 (no covariates): 0.00504 [0.00398, 0.00611] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005495 | PGS001429 (GBE_INI25056) |
PSS005331| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.22819 [0.21027, 0.24611] Incremental R2 (full-covars): 0.02033 PGS R2 (no covariates): 0.02968 [0.02155, 0.0378] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005496 | PGS001429 (GBE_INI25056) |
PSS005332| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.17464 [0.14195, 0.20732] Incremental R2 (full-covars): 0.0092 PGS R2 (no covariates): 0.00182 [-0.00222, 0.00586] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005497 | PGS001429 (GBE_INI25056) |
PSS005333| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.08457 [0.07795, 0.09118] Incremental R2 (full-covars): 0.00732 PGS R2 (no covariates): 0.00803 [0.00582, 0.01024] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005498 | PGS001429 (GBE_INI25056) |
PSS005334| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.07752 [0.06615, 0.08889] Incremental R2 (full-covars): -0.00235 PGS R2 (no covariates): 0.0018 [-0.00008, 0.00367] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005499 | PGS001429 (GBE_INI25056) |
PSS005335| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.06056 [0.05707, 0.06405] Incremental R2 (full-covars): 0.00796 PGS R2 (no covariates): 0.00787 [0.00654, 0.0092] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005560 | PGS001430 (GBE_INI25075) |
PSS005396| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.06415 [0.05263, 0.07567] Incremental R2 (full-covars): -0.01617 PGS R2 (no covariates): 0.00068 [-0.00059, 0.00195] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005561 | PGS001430 (GBE_INI25075) |
PSS005397| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.18498 [0.15176, 0.2182] Incremental R2 (full-covars): 0.00291 PGS R2 (no covariates): 0.00227 [-0.00223, 0.00677] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005562 | PGS001430 (GBE_INI25075) |
PSS005398| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.05203 [0.04666, 0.0574] Incremental R2 (full-covars): 0.02276 PGS R2 (no covariates): 0.02486 [0.02104, 0.02868] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005563 | PGS001430 (GBE_INI25075) |
PSS005399| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.05662 [0.04669, 0.06656] Incremental R2 (full-covars): 0.01575 PGS R2 (no covariates): 0.01628 [0.01072, 0.02184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005564 | PGS001430 (GBE_INI25075) |
PSS005400| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.02731 [0.02488, 0.02973] Incremental R2 (full-covars): 0.01782 PGS R2 (no covariates): 0.01857 [0.01655, 0.02059] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005555 | PGS001431 (GBE_INI25074) |
PSS005391| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.10126 [0.08735, 0.11516] Incremental R2 (full-covars): 0.00693 PGS R2 (no covariates): 0.00898 [0.00442, 0.01355] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005556 | PGS001431 (GBE_INI25074) |
PSS005392| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.11266 [0.08444, 0.14088] Incremental R2 (full-covars): 0.02462 PGS R2 (no covariates): 0.03487 [0.01779, 0.05194] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005557 | PGS001431 (GBE_INI25074) |
PSS005393| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.06571 [0.05977, 0.07166] Incremental R2 (full-covars): 0.02939 PGS R2 (no covariates): 0.03223 [0.02791, 0.03654] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005558 | PGS001431 (GBE_INI25074) |
PSS005394| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.05258 [0.04296, 0.0622] Incremental R2 (full-covars): 0.02787 PGS R2 (no covariates): 0.03215 [0.02447, 0.03984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005559 | PGS001431 (GBE_INI25074) |
PSS005395| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.03187 [0.02927, 0.03448] Incremental R2 (full-covars): 0.01857 PGS R2 (no covariates): 0.01919 [0.01714, 0.02124] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005590 | PGS001432 (GBE_INI25085) |
PSS005426| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.10053 [0.08667, 0.11439] Incremental R2 (full-covars): -0.0155 PGS R2 (no covariates): 4e-05 [-0.00028, 0.00036] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005591 | PGS001432 (GBE_INI25085) |
PSS005427| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.15309 [0.12169, 0.18449] Incremental R2 (full-covars): 0.03689 PGS R2 (no covariates): 0.0449 [0.02572, 0.06408] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005592 | PGS001432 (GBE_INI25085) |
PSS005428| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.16189 [0.15352, 0.17027] Incremental R2 (full-covars): 0.00494 PGS R2 (no covariates): 0.00914 [0.00679, 0.01149] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005593 | PGS001432 (GBE_INI25085) |
PSS005429| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.11566 [0.10234, 0.12898] Incremental R2 (full-covars): -0.00523 PGS R2 (no covariates): 0.00567 [0.00235, 0.00898] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005594 | PGS001432 (GBE_INI25085) |
PSS005430| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.12456 [0.1199, 0.12923] Incremental R2 (full-covars): 0.01782 PGS R2 (no covariates): 0.01718 [0.01523, 0.01912] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005585 | PGS001433 (GBE_INI25084) |
PSS005421| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.1424 [0.12667, 0.15813] Incremental R2 (full-covars): -0.03601 PGS R2 (no covariates): 0.01206 [0.00679, 0.01734] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005586 | PGS001433 (GBE_INI25084) |
PSS005422| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.17421 [0.14154, 0.20687] Incremental R2 (full-covars): 0.01178 PGS R2 (no covariates): 0.02938 [0.01361, 0.04514] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005587 | PGS001433 (GBE_INI25084) |
PSS005423| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.17318 [0.16463, 0.18172] Incremental R2 (full-covars): 0.00646 PGS R2 (no covariates): 0.01072 [0.00818, 0.01327] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005588 | PGS001433 (GBE_INI25084) |
PSS005424| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.08193 [0.07029, 0.09356] Incremental R2 (full-covars): -0.01513 PGS R2 (no covariates): 0.00106 [-0.00038, 0.0025] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005589 | PGS001433 (GBE_INI25084) |
PSS005425| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.12387 [0.11921, 0.12852] Incremental R2 (full-covars): 0.01624 PGS R2 (no covariates): 0.01489 [0.01308, 0.01671] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005570 | PGS001434 (GBE_INI25077) |
PSS005406| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.0844 [0.07147, 0.09733] Incremental R2 (full-covars): -0.00421 PGS R2 (no covariates): 0.00041 [-0.00057, 0.0014] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005571 | PGS001434 (GBE_INI25077) |
PSS005407| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.06938 [0.04615, 0.09261] Incremental R2 (full-covars): 0.01178 PGS R2 (no covariates): 0.01605 [0.00424, 0.02786] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005572 | PGS001434 (GBE_INI25077) |
PSS005408| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.07286 [0.06665, 0.07908] Incremental R2 (full-covars): 0.02661 PGS R2 (no covariates): 0.02982 [0.02566, 0.03399] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005573 | PGS001434 (GBE_INI25077) |
PSS005409| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.02856 [0.02129, 0.03583] Incremental R2 (full-covars): 0.00134 PGS R2 (no covariates): 0.0072 [0.00347, 0.01093] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005574 | PGS001434 (GBE_INI25077) |
PSS005410| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.02818 [0.02572, 0.03064] Incremental R2 (full-covars): 0.00902 PGS R2 (no covariates): 0.00964 [0.00817, 0.01111] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005565 | PGS001435 (GBE_INI25076) |
PSS005401| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.0895 [0.07626, 0.10274] Incremental R2 (full-covars): 0.02108 PGS R2 (no covariates): 0.0235 [0.01623, 0.03078] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005566 | PGS001435 (GBE_INI25076) |
PSS005402| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.15507 [0.12354, 0.1866] Incremental R2 (full-covars): 0.02068 PGS R2 (no covariates): 0.0397 [0.02157, 0.05783] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005567 | PGS001435 (GBE_INI25076) |
PSS005403| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.0692 [0.06312, 0.07528] Incremental R2 (full-covars): 0.01056 PGS R2 (no covariates): 0.01148 [0.00885, 0.01411] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005568 | PGS001435 (GBE_INI25076) |
PSS005404| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.03869 [0.03032, 0.04706] Incremental R2 (full-covars): -0.00139 PGS R2 (no covariates): 0.00271 [0.00041, 0.005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005569 | PGS001435 (GBE_INI25076) |
PSS005405| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.0283 [0.02583, 0.03076] Incremental R2 (full-covars): 0.01301 PGS R2 (no covariates): 0.01399 [0.01223, 0.01576] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005600 | PGS001436 (GBE_INI25087) |
PSS005436| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (L) | — | — | R²: 0.06603 [0.05436, 0.07769] Incremental R2 (full-covars): -0.00662 PGS R2 (no covariates): 0.00353 [0.00065, 0.00641] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005601 | PGS001436 (GBE_INI25087) |
PSS005437| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (L) | — | — | R²: 0.18566 [0.15241, 0.21891] Incremental R2 (full-covars): 0.03287 PGS R2 (no covariates): 0.05187 [0.03141, 0.07234] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005602 | PGS001436 (GBE_INI25087) |
PSS005438| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (L) | — | — | R²: 0.07511 [0.06881, 0.0814] Incremental R2 (full-covars): 0.00797 PGS R2 (no covariates): 0.0102 [0.00772, 0.01269] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005603 | PGS001436 (GBE_INI25087) |
PSS005439| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (L) | — | — | R²: 0.06654 [0.05588, 0.07721] Incremental R2 (full-covars): -0.00083 PGS R2 (no covariates): 0.00441 [0.00148, 0.00734] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005604 | PGS001436 (GBE_INI25087) |
PSS005440| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (L) | — | — | R²: 0.05754 [0.05413, 0.06096] Incremental R2 (full-covars): 0.01673 PGS R2 (no covariates): 0.01743 [0.01547, 0.01939] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005595 | PGS001437 (GBE_INI25086) |
PSS005431| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (R) | — | — | R²: 0.06279 [0.05137, 0.0742] Incremental R2 (full-covars): -0.0419 PGS R2 (no covariates): 0.01788 [0.01149, 0.02426] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005596 | PGS001437 (GBE_INI25086) |
PSS005432| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (R) | — | — | R²: 0.14556 [0.11466, 0.17645] Incremental R2 (full-covars): 0.00481 PGS R2 (no covariates): 0.02279 [0.00881, 0.03678] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005597 | PGS001437 (GBE_INI25086) |
PSS005433| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (R) | — | — | R²: 0.07577 [0.06945, 0.08209] Incremental R2 (full-covars): 0.00678 PGS R2 (no covariates): 0.00998 [0.00752, 0.01244] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005598 | PGS001437 (GBE_INI25086) |
PSS005434| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (R) | — | — | R²: 0.04797 [0.03874, 0.0572] Incremental R2 (full-covars): -0.00684 PGS R2 (no covariates): 0.00224 [0.00015, 0.00433] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005599 | PGS001437 (GBE_INI25086) |
PSS005435| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in sagittal stratum on FA skeleton (R) | — | — | R²: 0.05539 [0.05204, 0.05875] Incremental R2 (full-covars): 0.01078 PGS R2 (no covariates): 0.01126 [0.00968, 0.01284] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005510 | PGS001438 (GBE_INI25060) |
PSS005346| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in splenium of corpus callosum on FA skeleton | — | — | R²: 0.13894 [0.12334, 0.15454] Incremental R2 (full-covars): 0.01137 PGS R2 (no covariates): 0.01409 [0.0084, 0.01978] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005511 | PGS001438 (GBE_INI25060) |
PSS005347| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in splenium of corpus callosum on FA skeleton | — | — | R²: 0.15459 [0.12309, 0.18609] Incremental R2 (full-covars): 0.03974 PGS R2 (no covariates): 0.06098 [0.03901, 0.08296] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005512 | PGS001438 (GBE_INI25060) |
PSS005348| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in splenium of corpus callosum on FA skeleton | — | — | R²: 0.05323 [0.04781, 0.05866] Incremental R2 (full-covars): 0.0293 PGS R2 (no covariates): 0.03207 [0.02777, 0.03637] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005513 | PGS001438 (GBE_INI25060) |
PSS005349| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in splenium of corpus callosum on FA skeleton | — | — | R²: 0.07842 [0.06699, 0.08985] Incremental R2 (full-covars): 0.00878 PGS R2 (no covariates): 0.01042 [0.00595, 0.01489] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005514 | PGS001438 (GBE_INI25060) |
PSS005350| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in splenium of corpus callosum on FA skeleton | — | — | R²: 0.02357 [0.02131, 0.02584] Incremental R2 (full-covars): 0.01706 PGS R2 (no covariates): 0.01731 [0.01535, 0.01926] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005535 | PGS001439 (GBE_INI25069) |
PSS005371| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.14727 [0.13137, 0.16318] Incremental R2 (full-covars): -0.00324 PGS R2 (no covariates): 0.00796 [0.00365, 0.01226] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005536 | PGS001439 (GBE_INI25069) |
PSS005372| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.24035 [0.20505, 0.27564] Incremental R2 (full-covars): 0.03657 PGS R2 (no covariates): 0.03285 [0.01624, 0.04946] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005537 | PGS001439 (GBE_INI25069) |
PSS005373| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.02113 [0.01759, 0.02466] Incremental R2 (full-covars): 3e-05 PGS R2 (no covariates): 0.00402 [0.00245, 0.00559] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005538 | PGS001439 (GBE_INI25069) |
PSS005374| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.08303 [0.07134, 0.09473] Incremental R2 (full-covars): 0.00491 PGS R2 (no covariates): 0.00902 [0.00486, 0.01319] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005539 | PGS001439 (GBE_INI25069) |
PSS005375| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.03751 [0.03469, 0.04032] Incremental R2 (full-covars): 0.00801 PGS R2 (no covariates): 0.0104 [0.00888, 0.01192] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005530 | PGS001440 (GBE_INI25068) |
PSS005366| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.12735 [0.11221, 0.14249] Incremental R2 (full-covars): -0.00363 PGS R2 (no covariates): 0.00549 [0.00191, 0.00907] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005531 | PGS001440 (GBE_INI25068) |
PSS005367| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.27188 [0.2359, 0.30786] Incremental R2 (full-covars): 0.01746 PGS R2 (no covariates): 0.04019 [0.02196, 0.05843] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005532 | PGS001440 (GBE_INI25068) |
PSS005368| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.02873 [0.02465, 0.03282] Incremental R2 (full-covars): 0.01146 PGS R2 (no covariates): 0.01378 [0.0109, 0.01665] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005533 | PGS001440 (GBE_INI25068) |
PSS005369| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.08859 [0.07658, 0.10061] Incremental R2 (full-covars): -0.00823 PGS R2 (no covariates): 0.00289 [0.00052, 0.00527] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005534 | PGS001440 (GBE_INI25068) |
PSS005370| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.03569 [0.03294, 0.03844] Incremental R2 (full-covars): 0.00653 PGS R2 (no covariates): 0.01022 [0.00871, 0.01173] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005583 | PGS001441 (GBE_INI25081) |
PSS005419| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (L) | — | — | R²: 0.10757 [0.09461, 0.12053] Incremental R2 (full-covars): 0.01035 PGS R2 (no covariates): 0.01519 [0.00982, 0.02057] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005580 | PGS001441 (GBE_INI25081) |
PSS005416| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (L) | — | — | R²: 0.08463 [0.07169, 0.09757] Incremental R2 (full-covars): 0.00932 PGS R2 (no covariates): 0.00914 [0.00454, 0.01375] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005581 | PGS001441 (GBE_INI25081) |
PSS005417| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (L) | — | — | R²: 0.19666 [0.1629, 0.23042] Incremental R2 (full-covars): 0.024 PGS R2 (no covariates): 0.03185 [0.01548, 0.04823] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005582 | PGS001441 (GBE_INI25081) |
PSS005418| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (L) | — | — | R²: 0.09073 [0.08393, 0.09753] Incremental R2 (full-covars): 0.00748 PGS R2 (no covariates): 0.00888 [0.00656, 0.0112] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005584 | PGS001441 (GBE_INI25081) |
PSS005420| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (L) | — | — | R²: 0.07276 [0.06898, 0.07653] Incremental R2 (full-covars): 0.01396 PGS R2 (no covariates): 0.01476 [0.01295, 0.01656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005575 | PGS001442 (GBE_INI25080) |
PSS005411| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (R) | — | — | R²: 0.11773 [0.10301, 0.13244] Incremental R2 (full-covars): 0.00172 PGS R2 (no covariates): 0.0076 [0.00339, 0.0118] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005576 | PGS001442 (GBE_INI25080) |
PSS005412| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (R) | — | — | R²: 0.20171 [0.16774, 0.23569] Incremental R2 (full-covars): 0.02699 PGS R2 (no covariates): 0.05265 [0.03205, 0.07325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005577 | PGS001442 (GBE_INI25080) |
PSS005413| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (R) | — | — | R²: 0.08068 [0.0742, 0.08717] Incremental R2 (full-covars): 0.01174 PGS R2 (no covariates): 0.01208 [0.00939, 0.01478] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005578 | PGS001442 (GBE_INI25080) |
PSS005414| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (R) | — | — | R²: 0.10046 [0.08783, 0.11308] Incremental R2 (full-covars): 0.01104 PGS R2 (no covariates): 0.01526 [0.00987, 0.02064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005579 | PGS001442 (GBE_INI25080) |
PSS005415| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior corona radiata on FA skeleton (R) | — | — | R²: 0.06692 [0.06328, 0.07057] Incremental R2 (full-covars): 0.01407 PGS R2 (no covariates): 0.01392 [0.01217, 0.01568] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005650 | PGS001443 (GBE_INI25099) |
PSS005486| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.14727 [0.13137, 0.16318] Incremental R2 (full-covars): 0.00391 PGS R2 (no covariates): 0.00604 [0.00229, 0.0098] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005651 | PGS001443 (GBE_INI25099) |
PSS005487| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.17193 [0.1394, 0.20447] Incremental R2 (full-covars): 0.03024 PGS R2 (no covariates): 0.03092 [0.01477, 0.04706] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005652 | PGS001443 (GBE_INI25099) |
PSS005488| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.15456 [0.1463, 0.16281] Incremental R2 (full-covars): 0.00551 PGS R2 (no covariates): 0.00679 [0.00476, 0.00882] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005653 | PGS001443 (GBE_INI25099) |
PSS005489| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.15624 [0.14147, 0.171] Incremental R2 (full-covars): 0.00899 PGS R2 (no covariates): 0.01121 [0.00658, 0.01585] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005654 | PGS001443 (GBE_INI25099) |
PSS005490| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.11874 [0.11416, 0.12333] Incremental R2 (full-covars): 0.01084 PGS R2 (no covariates): 0.01219 [0.01054, 0.01383] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005645 | PGS001444 (GBE_INI25098) |
PSS005481| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.14124 [0.12556, 0.15693] Incremental R2 (full-covars): -0.00812 PGS R2 (no covariates): 9e-05 [-0.00037, 0.00055] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005646 | PGS001444 (GBE_INI25098) |
PSS005482| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.15056 [0.11932, 0.18179] Incremental R2 (full-covars): 0.03357 PGS R2 (no covariates): 0.02586 [0.01101, 0.0407] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005647 | PGS001444 (GBE_INI25098) |
PSS005483| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.12212 [0.1145, 0.12974] Incremental R2 (full-covars): 0.00618 PGS R2 (no covariates): 0.00751 [0.00537, 0.00964] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005648 | PGS001444 (GBE_INI25098) |
PSS005484| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.13569 [0.1216, 0.14979] Incremental R2 (full-covars): 0.02035 PGS R2 (no covariates): 0.02379 [0.01712, 0.03046] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005649 | PGS001444 (GBE_INI25098) |
PSS005485| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.10714 [0.10272, 0.11155] Incremental R2 (full-covars): 0.01326 PGS R2 (no covariates): 0.01396 [0.0122, 0.01572] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005640 | PGS001445 (GBE_INI25097) |
PSS005476| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.05081 [0.04041, 0.06121] Incremental R2 (full-covars): -0.01697 PGS R2 (no covariates): 0.00042 [-0.00058, 0.00141] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005641 | PGS001445 (GBE_INI25097) |
PSS005477| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.07604 [0.0519, 0.10019] Incremental R2 (full-covars): -0.01105 PGS R2 (no covariates): 0.00368 [-0.00205, 0.0094] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005642 | PGS001445 (GBE_INI25097) |
PSS005478| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.08007 [0.0736, 0.08653] Incremental R2 (full-covars): 0.0077 PGS R2 (no covariates): 0.01648 [0.01335, 0.01962] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005643 | PGS001445 (GBE_INI25097) |
PSS005479| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.03974 [0.03127, 0.04822] Incremental R2 (full-covars): -0.02174 PGS R2 (no covariates): 0.00152 [-0.0002, 0.00325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005644 | PGS001445 (GBE_INI25097) |
PSS005480| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.06149 [0.05797, 0.065] Incremental R2 (full-covars): 0.02055 PGS R2 (no covariates): 0.02228 [0.02008, 0.02448] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005635 | PGS001446 (GBE_INI25096) |
PSS005471| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.0751 [0.06278, 0.08742] Incremental R2 (full-covars): -0.03155 PGS R2 (no covariates): 0.01242 [0.00707, 0.01776] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005636 | PGS001446 (GBE_INI25096) |
PSS005472| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.11887 [0.09008, 0.14765] Incremental R2 (full-covars): 0.01456 PGS R2 (no covariates): 0.02009 [0.00693, 0.03325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005637 | PGS001446 (GBE_INI25096) |
PSS005473| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.08203 [0.07551, 0.08856] Incremental R2 (full-covars): 0.01197 PGS R2 (no covariates): 0.01503 [0.01203, 0.01803] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005638 | PGS001446 (GBE_INI25096) |
PSS005474| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.06608 [0.05545, 0.07671] Incremental R2 (full-covars): -0.00695 PGS R2 (no covariates): 0.00652 [0.00297, 0.01007] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005639 | PGS001446 (GBE_INI25096) |
PSS005475| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.0524 [0.04912, 0.05567] Incremental R2 (full-covars): 0.0172 PGS R2 (no covariates): 0.01711 [0.01517, 0.01905] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005665 | PGS001447 (GBE_INI25103) |
PSS005501| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (L) | — | — | R²: 0.0991 [0.08531, 0.11288] Incremental R2 (full-covars): -0.01681 PGS R2 (no covariates): 0.0001 [-0.00039, 0.0006] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005666 | PGS001447 (GBE_INI25103) |
PSS005502| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (L) | — | — | R²: 0.1938 [0.16016, 0.22743] Incremental R2 (full-covars): 0.00884 PGS R2 (no covariates): 0.03771 [0.02, 0.05542] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005667 | PGS001447 (GBE_INI25103) |
PSS005503| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (L) | — | — | R²: 0.05996 [0.05424, 0.06568] Incremental R2 (full-covars): 0.00962 PGS R2 (no covariates): 0.00947 [0.00707, 0.01186] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005668 | PGS001447 (GBE_INI25103) |
PSS005504| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (L) | — | — | R²: 0.11853 [0.10509, 0.13197] Incremental R2 (full-covars): 0.01153 PGS R2 (no covariates): 0.0186 [0.01267, 0.02452] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005669 | PGS001447 (GBE_INI25103) |
PSS005505| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (L) | — | — | R²: 0.04881 [0.04563, 0.05198] Incremental R2 (full-covars): 0.01602 PGS R2 (no covariates): 0.01632 [0.01442, 0.01821] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005660 | PGS001448 (GBE_INI25102) |
PSS005496| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (R) | — | — | R²: 0.10141 [0.08751, 0.11532] Incremental R2 (full-covars): -0.01563 PGS R2 (no covariates): 0.00142 [-0.00041, 0.00325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005661 | PGS001448 (GBE_INI25102) |
PSS005497| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (R) | — | — | R²: 0.15212 [0.12079, 0.18346] Incremental R2 (full-covars): -0.0191 PGS R2 (no covariates): 0.0007 [-0.0018, 0.0032] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005662 | PGS001448 (GBE_INI25102) |
PSS005498| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (R) | — | — | R²: 0.11162 [0.10425, 0.11899] Incremental R2 (full-covars): 0.01157 PGS R2 (no covariates): 0.01191 [0.00924, 0.01459] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005663 | PGS001448 (GBE_INI25102) |
PSS005499| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (R) | — | — | R²: 0.11679 [0.10343, 0.13016] Incremental R2 (full-covars): 0.01156 PGS R2 (no covariates): 0.02313 [0.01655, 0.02971] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005664 | PGS001448 (GBE_INI25102) |
PSS005500| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in tapetum on FA skeleton (R) | — | — | R²: 0.10139 [0.09707, 0.10571] Incremental R2 (full-covars): 0.02101 PGS R2 (no covariates): 0.02025 [0.01815, 0.02236] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005655 | PGS001449 (GBE_INI25100) |
PSS005491| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.11006 [0.09571, 0.12441] Incremental R2 (full-covars): 0.01332 PGS R2 (no covariates): 0.02879 [0.02078, 0.0368] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005656 | PGS001449 (GBE_INI25100) |
PSS005492| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.11066 [0.08263, 0.1387] Incremental R2 (full-covars): 0.01164 PGS R2 (no covariates): 0.02004 [0.0069, 0.03319] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005657 | PGS001449 (GBE_INI25100) |
PSS005493| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.03569 [0.03116, 0.04021] Incremental R2 (full-covars): 0.00913 PGS R2 (no covariates): 0.01032 [0.00782, 0.01281] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005658 | PGS001449 (GBE_INI25100) |
PSS005494| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.08161 [0.06999, 0.09323] Incremental R2 (full-covars): 0.00633 PGS R2 (no covariates): 0.01409 [0.0089, 0.01927] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005659 | PGS001449 (GBE_INI25100) |
PSS005495| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean FA in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.03074 [0.02817, 0.0333] Incremental R2 (full-covars): 0.00786 PGS R2 (no covariates): 0.00774 [0.00642, 0.00906] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005765 | PGS001450 (GBE_INI25367) |
PSS005601| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.10807 [0.09381, 0.12232] Incremental R2 (full-covars): -0.00728 PGS R2 (no covariates): 0.00178 [-0.00027, 0.00383] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005766 | PGS001450 (GBE_INI25367) |
PSS005602| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.2029 [0.16888, 0.23693] Incremental R2 (full-covars): 0.0795 PGS R2 (no covariates): 0.09947 [0.07256, 0.12639] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005767 | PGS001450 (GBE_INI25367) |
PSS005603| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.20755 [0.19858, 0.21652] Incremental R2 (full-covars): 0.03447 PGS R2 (no covariates): 0.03244 [0.02811, 0.03677] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005768 | PGS001450 (GBE_INI25367) |
PSS005604| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.11129 [0.09816, 0.12442] Incremental R2 (full-covars): 0.01082 PGS R2 (no covariates): 0.01404 [0.00887, 0.01922] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005769 | PGS001450 (GBE_INI25367) |
PSS005605| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.17758 [0.17235, 0.18281] Incremental R2 (full-covars): 0.04438 PGS R2 (no covariates): 0.04394 [0.04091, 0.04697] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005760 | PGS001451 (GBE_INI25366) |
PSS005596| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.13001 [0.11477, 0.14526] Incremental R2 (full-covars): 0.01315 PGS R2 (no covariates): 0.00889 [0.00435, 0.01343] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005761 | PGS001451 (GBE_INI25366) |
PSS005597| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.23207 [0.19701, 0.26713] Incremental R2 (full-covars): 0.08524 PGS R2 (no covariates): 0.12799 [0.09843, 0.15756] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005762 | PGS001451 (GBE_INI25366) |
PSS005598| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.21582 [0.20677, 0.22487] Incremental R2 (full-covars): 0.04078 PGS R2 (no covariates): 0.03879 [0.03409, 0.04349] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005763 | PGS001451 (GBE_INI25366) |
PSS005599| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.12142 [0.10787, 0.13498] Incremental R2 (full-covars): 0.02608 PGS R2 (no covariates): 0.02985 [0.02243, 0.03727] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005764 | PGS001451 (GBE_INI25366) |
PSS005600| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.17897 [0.17372, 0.18421] Incremental R2 (full-covars): 0.04451 PGS R2 (no covariates): 0.04401 [0.04098, 0.04704] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005735 | PGS001452 (GBE_INI25361) |
PSS005571| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.11773 [0.10302, 0.13244] Incremental R2 (full-covars): -0.01067 PGS R2 (no covariates): 8e-05 [-0.00036, 0.00053] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005736 | PGS001452 (GBE_INI25361) |
PSS005572| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.20113 [0.16718, 0.23508] Incremental R2 (full-covars): 0.02464 PGS R2 (no covariates): 0.03755 [0.01987, 0.05522] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005737 | PGS001452 (GBE_INI25361) |
PSS005573| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.19495 [0.18612, 0.20377] Incremental R2 (full-covars): 0.03378 PGS R2 (no covariates): 0.03764 [0.033, 0.04228] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005738 | PGS001452 (GBE_INI25361) |
PSS005574| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.08108 [0.06949, 0.09266] Incremental R2 (full-covars): 0.01498 PGS R2 (no covariates): 0.02425 [0.01752, 0.03098] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005739 | PGS001452 (GBE_INI25361) |
PSS005575| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.11362 [0.10911, 0.11813] Incremental R2 (full-covars): 0.02678 PGS R2 (no covariates): 0.02712 [0.0247, 0.02954] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005730 | PGS001453 (GBE_INI25360) |
PSS005566| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.1017 [0.08778, 0.11563] Incremental R2 (full-covars): -0.01301 PGS R2 (no covariates): 0.0 [-0.0001, 0.00011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005731 | PGS001453 (GBE_INI25360) |
PSS005567| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.22948 [0.19451, 0.26446] Incremental R2 (full-covars): 0.01029 PGS R2 (no covariates): 0.01904 [0.00621, 0.03187] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005732 | PGS001453 (GBE_INI25360) |
PSS005568| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.20176 [0.19286, 0.21067] Incremental R2 (full-covars): 0.03564 PGS R2 (no covariates): 0.03538 [0.03087, 0.03989] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005733 | PGS001453 (GBE_INI25360) |
PSS005569| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.09545 [0.08307, 0.10782] Incremental R2 (full-covars): 0.01386 PGS R2 (no covariates): 0.02196 [0.01554, 0.02837] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005734 | PGS001453 (GBE_INI25360) |
PSS005570| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in anterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.13007 [0.12533, 0.13481] Incremental R2 (full-covars): 0.03186 PGS R2 (no covariates): 0.03283 [0.03019, 0.03548] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005680 | PGS001454 (GBE_INI25347) |
PSS005516| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in body of corpus callosum on FA skeleton | — | — | R²: 0.06869 [0.05683, 0.08056] Incremental R2 (full-covars): -0.01611 PGS R2 (no covariates): 0.00542 [0.00186, 0.00898] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005681 | PGS001454 (GBE_INI25347) |
PSS005517| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in body of corpus callosum on FA skeleton | — | — | R²: 0.15723 [0.12556, 0.1889] Incremental R2 (full-covars): 0.07956 PGS R2 (no covariates): 0.09753 [0.07082, 0.12424] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005682 | PGS001454 (GBE_INI25347) |
PSS005518| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in body of corpus callosum on FA skeleton | — | — | R²: 0.10379 [0.09662, 0.11096] Incremental R2 (full-covars): 0.07735 PGS R2 (no covariates): 0.07897 [0.07254, 0.08539] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005683 | PGS001454 (GBE_INI25347) |
PSS005519| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in body of corpus callosum on FA skeleton | — | — | R²: 0.09223 [0.08002, 0.10443] Incremental R2 (full-covars): 0.02703 PGS R2 (no covariates): 0.0406 [0.03204, 0.04916] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005684 | PGS001454 (GBE_INI25347) |
PSS005520| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in body of corpus callosum on FA skeleton | — | — | R²: 0.08259 [0.07861, 0.08657] Incremental R2 (full-covars): 0.07723 PGS R2 (no covariates): 0.07706 [0.07319, 0.08093] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005725 | PGS001455 (GBE_INI25359) |
PSS005561| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.13212 [0.11679, 0.14746] Incremental R2 (full-covars): 0.04301 PGS R2 (no covariates): 0.04128 [0.03181, 0.05075] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005726 | PGS001455 (GBE_INI25359) |
PSS005562| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.12675 [0.09729, 0.15621] Incremental R2 (full-covars): 0.02966 PGS R2 (no covariates): 0.05884 [0.0372, 0.08047] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005727 | PGS001455 (GBE_INI25359) |
PSS005563| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.07981 [0.07336, 0.08627] Incremental R2 (full-covars): 0.03696 PGS R2 (no covariates): 0.0372 [0.03259, 0.04181] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005728 | PGS001455 (GBE_INI25359) |
PSS005564| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.10594 [0.09306, 0.11882] Incremental R2 (full-covars): 0.06107 PGS R2 (no covariates): 0.07 [0.05911, 0.08089] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005729 | PGS001455 (GBE_INI25359) |
PSS005565| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (L) | — | — | R²: 0.05866 [0.05522, 0.0621] Incremental R2 (full-covars): 0.0374 PGS R2 (no covariates): 0.03779 [0.03496, 0.04061] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005720 | PGS001456 (GBE_INI25358) |
PSS005556| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (R) | — | — | R²: 0.09 [0.07673, 0.10327] Incremental R2 (full-covars): 0.00054 PGS R2 (no covariates): 0.00752 [0.00334, 0.01171] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005721 | PGS001456 (GBE_INI25358) |
PSS005557| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (R) | — | — | R²: 0.09328 [0.06704, 0.11952] Incremental R2 (full-covars): -0.01462 PGS R2 (no covariates): 0.00513 [-0.00162, 0.01188] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005722 | PGS001456 (GBE_INI25358) |
PSS005558| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (R) | — | — | R²: 0.10095 [0.09386, 0.10805] Incremental R2 (full-covars): 0.04385 PGS R2 (no covariates): 0.04365 [0.03868, 0.04861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005723 | PGS001456 (GBE_INI25358) |
PSS005559| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (R) | — | — | R²: 0.07997 [0.06845, 0.09149] Incremental R2 (full-covars): 0.03617 PGS R2 (no covariates): 0.03394 [0.02606, 0.04182] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005724 | PGS001456 (GBE_INI25358) |
PSS005560| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cerebral peduncle on FA skeleton (R) | — | — | R²: 0.0692 [0.06551, 0.0729] Incremental R2 (full-covars): 0.03131 PGS R2 (no covariates): 0.03321 [0.03055, 0.03587] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005825 | PGS001457 (GBE_INI25379) |
PSS005661| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.18879 [0.17165, 0.20592] Incremental R2 (full-covars): -0.00476 PGS R2 (no covariates): 0.01188 [0.00665, 0.01712] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005826 | PGS001457 (GBE_INI25379) |
PSS005662| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.18335 [0.15021, 0.21648] Incremental R2 (full-covars): 0.08378 PGS R2 (no covariates): 0.08328 [0.05821, 0.10835] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005827 | PGS001457 (GBE_INI25379) |
PSS005663| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.17097 [0.16246, 0.17949] Incremental R2 (full-covars): 0.04303 PGS R2 (no covariates): 0.04148 [0.03663, 0.04633] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005828 | PGS001457 (GBE_INI25379) |
PSS005664| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.11754 [0.10414, 0.13094] Incremental R2 (full-covars): 0.02763 PGS R2 (no covariates): 0.044 [0.03512, 0.05287] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005829 | PGS001457 (GBE_INI25379) |
PSS005665| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.14046 [0.13559, 0.14532] Incremental R2 (full-covars): 0.04996 PGS R2 (no covariates): 0.04859 [0.04542, 0.05175] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005820 | PGS001458 (GBE_INI25378) |
PSS005656| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.12722 [0.11209, 0.14235] Incremental R2 (full-covars): -0.03034 PGS R2 (no covariates): 0.00098 [-0.00054, 0.0025] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005821 | PGS001458 (GBE_INI25378) |
PSS005657| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.12758 [0.09805, 0.15711] Incremental R2 (full-covars): 0.00778 PGS R2 (no covariates): 0.01134 [0.00136, 0.02132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005822 | PGS001458 (GBE_INI25378) |
PSS005658| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.18682 [0.17809, 0.19555] Incremental R2 (full-covars): 0.0501 PGS R2 (no covariates): 0.05161 [0.04626, 0.05696] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005823 | PGS001458 (GBE_INI25378) |
PSS005659| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.09386 [0.08157, 0.10615] Incremental R2 (full-covars): 0.0171 PGS R2 (no covariates): 0.02922 [0.02188, 0.03657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005824 | PGS001458 (GBE_INI25378) |
PSS005660| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.14294 [0.13805, 0.14783] Incremental R2 (full-covars): 0.05321 PGS R2 (no covariates): 0.05064 [0.04742, 0.05387] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005835 | PGS001459 (GBE_INI25381) |
PSS005671| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.14552 [0.12968, 0.16137] Incremental R2 (full-covars): -0.00473 PGS R2 (no covariates): 0.00732 [0.00319, 0.01145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005836 | PGS001459 (GBE_INI25381) |
PSS005672| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.15182 [0.1205, 0.18314] Incremental R2 (full-covars): 0.09456 PGS R2 (no covariates): 0.09863 [0.07181, 0.12546] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005837 | PGS001459 (GBE_INI25381) |
PSS005673| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.12422 [0.11656, 0.13189] Incremental R2 (full-covars): 0.05046 PGS R2 (no covariates): 0.04937 [0.04413, 0.05462] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005838 | PGS001459 (GBE_INI25381) |
PSS005674| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.0267 [0.01965, 0.03374] Incremental R2 (full-covars): 0.00227 PGS R2 (no covariates): 0.00775 [0.00388, 0.01161] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005839 | PGS001459 (GBE_INI25381) |
PSS005675| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (L) | — | — | R²: 0.07813 [0.07424, 0.08202] Incremental R2 (full-covars): 0.03509 PGS R2 (no covariates): 0.03619 [0.03343, 0.03896] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005830 | PGS001460 (GBE_INI25380) |
PSS005666| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.1046 [0.09053, 0.11868] Incremental R2 (full-covars): 0.01806 PGS R2 (no covariates): 0.02117 [0.01425, 0.0281] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005831 | PGS001460 (GBE_INI25380) |
PSS005667| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.06199 [0.03986, 0.08412] Incremental R2 (full-covars): -0.01742 PGS R2 (no covariates): 0.00159 [-0.00218, 0.00537] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005832 | PGS001460 (GBE_INI25380) |
PSS005668| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.13456 [0.12667, 0.14244] Incremental R2 (full-covars): 0.04871 PGS R2 (no covariates): 0.04704 [0.04191, 0.05217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005833 | PGS001460 (GBE_INI25380) |
PSS005669| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.04388 [0.03502, 0.05275] Incremental R2 (full-covars): 0.01227 PGS R2 (no covariates): 0.01733 [0.0116, 0.02305] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005834 | PGS001460 (GBE_INI25380) |
PSS005670| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in cingulum hippocampus on FA skeleton (R) | — | — | R²: 0.07348 [0.06969, 0.07727] Incremental R2 (full-covars): 0.03337 PGS R2 (no covariates): 0.03437 [0.03167, 0.03708] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005815 | PGS001461 (GBE_INI25377) |
PSS005651| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (L) | — | — | R²: 0.14836 [0.13242, 0.16431] Incremental R2 (full-covars): 0.00989 PGS R2 (no covariates): 0.0109 [0.00588, 0.01592] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005816 | PGS001461 (GBE_INI25377) |
PSS005652| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (L) | — | — | R²: 0.13736 [0.10706, 0.16765] Incremental R2 (full-covars): 0.01153 PGS R2 (no covariates): 0.01689 [0.00478, 0.029] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005817 | PGS001461 (GBE_INI25377) |
PSS005653| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (L) | — | — | R²: 0.20226 [0.19335, 0.21117] Incremental R2 (full-covars): 0.02028 PGS R2 (no covariates): 0.01748 [0.01425, 0.02071] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005818 | PGS001461 (GBE_INI25377) |
PSS005654| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (L) | — | — | R²: 0.06137 [0.05107, 0.07166] Incremental R2 (full-covars): 0.00879 PGS R2 (no covariates): 0.01112 [0.0065, 0.01573] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005819 | PGS001461 (GBE_INI25377) |
PSS005655| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (L) | — | — | R²: 0.11609 [0.11155, 0.12064] Incremental R2 (full-covars): 0.01394 PGS R2 (no covariates): 0.01289 [0.0112, 0.01458] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005810 | PGS001462 (GBE_INI25376) |
PSS005646| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (R) | — | — | R²: 0.15873 [0.14244, 0.17502] Incremental R2 (full-covars): 0.0182 PGS R2 (no covariates): 0.01188 [0.00664, 0.01711] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005811 | PGS001462 (GBE_INI25376) |
PSS005647| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (R) | — | — | R²: 0.11455 [0.08615, 0.14295] Incremental R2 (full-covars): 0.00275 PGS R2 (no covariates): 0.0101 [0.00067, 0.01953] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005812 | PGS001462 (GBE_INI25376) |
PSS005648| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (R) | — | — | R²: 0.20266 [0.19375, 0.21158] Incremental R2 (full-covars): 0.02892 PGS R2 (no covariates): 0.02446 [0.02067, 0.02825] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005813 | PGS001462 (GBE_INI25376) |
PSS005649| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (R) | — | — | R²: 0.07303 [0.06194, 0.08412] Incremental R2 (full-covars): 0.01191 PGS R2 (no covariates): 0.0131 [0.0081, 0.0181] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005814 | PGS001462 (GBE_INI25376) |
PSS005650| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in external capsule on FA skeleton (R) | — | — | R²: 0.11812 [0.11354, 0.12269] Incremental R2 (full-covars): 0.01656 PGS R2 (no covariates): 0.0167 [0.01478, 0.01862] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005845 | PGS001463 (GBE_INI25383) |
PSS005681| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (L) | — | — | R²: 0.08027 [0.0676, 0.09294] Incremental R2 (full-covars): -0.01769 PGS R2 (no covariates): 1e-05 [-0.00016, 0.00019] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005846 | PGS001463 (GBE_INI25383) |
PSS005682| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (L) | — | — | R²: 0.1358 [0.10562, 0.16598] Incremental R2 (full-covars): 0.0417 PGS R2 (no covariates): 0.04443 [0.02534, 0.06351] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005847 | PGS001463 (GBE_INI25383) |
PSS005683| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (L) | — | — | R²: 0.10954 [0.10222, 0.11686] Incremental R2 (full-covars): 0.0356 PGS R2 (no covariates): 0.03492 [0.03045, 0.0394] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005848 | PGS001463 (GBE_INI25383) |
PSS005684| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (L) | — | — | R²: 0.0442 [0.03531, 0.0531] Incremental R2 (full-covars): -0.00785 PGS R2 (no covariates): 0.0017 [-0.00012, 0.00352] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005849 | PGS001463 (GBE_INI25383) |
PSS005685| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (L) | — | — | R²: 0.05083 [0.0476, 0.05407] Incremental R2 (full-covars): 0.02417 PGS R2 (no covariates): 0.02416 [0.02187, 0.02645] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005840 | PGS001464 (GBE_INI25382) |
PSS005676| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.08795 [0.0748, 0.1011] Incremental R2 (full-covars): -0.02955 PGS R2 (no covariates): 0.00072 [-0.00058, 0.00203] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005841 | PGS001464 (GBE_INI25382) |
PSS005677| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.08695 [0.06144, 0.11246] Incremental R2 (full-covars): -0.01282 PGS R2 (no covariates): 0.00268 [-0.00221, 0.00757] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005842 | PGS001464 (GBE_INI25382) |
PSS005678| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.08053 [0.07405, 0.08701] Incremental R2 (full-covars): 0.03184 PGS R2 (no covariates): 0.03068 [0.02646, 0.0349] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005843 | PGS001464 (GBE_INI25382) |
PSS005679| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.03258 [0.02484, 0.04031] Incremental R2 (full-covars): -0.0099 PGS R2 (no covariates): 0.00394 [0.00117, 0.00671] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005844 | PGS001464 (GBE_INI25382) |
PSS005680| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix cres+stria terminalis on FA skeleton (R) | — | — | R²: 0.04456 [0.04151, 0.0476] Incremental R2 (full-covars): 0.02451 PGS R2 (no covariates): 0.02485 [0.02253, 0.02717] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005685 | PGS001465 (GBE_INI25349) |
PSS005521| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.10875 [0.09446, 0.12304] Incremental R2 (full-covars): -0.00305 PGS R2 (no covariates): 0.00011 [-0.0004, 0.00063] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005686 | PGS001465 (GBE_INI25349) |
PSS005522| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.07272 [0.04902, 0.09641] Incremental R2 (full-covars): -0.00139 PGS R2 (no covariates): 0.00024 [-0.00123, 0.00172] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005687 | PGS001465 (GBE_INI25349) |
PSS005523| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.06811 [0.06207, 0.07415] Incremental R2 (full-covars): 0.00582 PGS R2 (no covariates): 0.00481 [0.0031, 0.00653] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005688 | PGS001465 (GBE_INI25349) |
PSS005524| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.14317 [0.12882, 0.15753] Incremental R2 (full-covars): 0.00998 PGS R2 (no covariates): 0.01486 [0.00954, 0.02018] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005689 | PGS001465 (GBE_INI25349) |
PSS005525| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.04937 [0.04618, 0.05255] Incremental R2 (full-covars): 0.00787 PGS R2 (no covariates): 0.0081 [0.00675, 0.00944] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005675 | PGS001466 (GBE_INI25346) |
PSS005511| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in genu of corpus callosum on FA skeleton | — | — | R²: 0.12589 [0.11082, 0.14097] Incremental R2 (full-covars): -0.00116 PGS R2 (no covariates): 0.00816 [0.00381, 0.01252] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005676 | PGS001466 (GBE_INI25346) |
PSS005512| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in genu of corpus callosum on FA skeleton | — | — | R²: 0.21242 [0.17802, 0.24682] Incremental R2 (full-covars): 0.06253 PGS R2 (no covariates): 0.05999 [0.03817, 0.08181] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005677 | PGS001466 (GBE_INI25346) |
PSS005513| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in genu of corpus callosum on FA skeleton | — | — | R²: 0.1553 [0.14704, 0.16357] Incremental R2 (full-covars): 0.05782 PGS R2 (no covariates): 0.05415 [0.04869, 0.05962] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005678 | PGS001466 (GBE_INI25346) |
PSS005514| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in genu of corpus callosum on FA skeleton | — | — | R²: 0.15214 [0.1375, 0.16679] Incremental R2 (full-covars): 0.0443 PGS R2 (no covariates): 0.05436 [0.0446, 0.06412] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005679 | PGS001466 (GBE_INI25346) |
PSS005515| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in genu of corpus callosum on FA skeleton | — | — | R²: 0.1224 [0.11776, 0.12703] Incremental R2 (full-covars): 0.05945 PGS R2 (no covariates): 0.05842 [0.05498, 0.06185] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005705 | PGS001467 (GBE_INI25355) |
PSS005541| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.14302 [0.12727, 0.15878] Incremental R2 (full-covars): 0.01141 PGS R2 (no covariates): 0.00762 [0.00341, 0.01183] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005706 | PGS001467 (GBE_INI25355) |
PSS005542| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.21065 [0.17632, 0.24498] Incremental R2 (full-covars): 0.01896 PGS R2 (no covariates): 0.04369 [0.02474, 0.06263] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005707 | PGS001467 (GBE_INI25355) |
PSS005543| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.11428 [0.10685, 0.12172] Incremental R2 (full-covars): 0.03954 PGS R2 (no covariates): 0.04166 [0.0368, 0.04652] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005708 | PGS001467 (GBE_INI25355) |
PSS005544| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.05237 [0.04277, 0.06197] Incremental R2 (full-covars): -0.0018 PGS R2 (no covariates): 0.00188 [-0.00004, 0.00379] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005709 | PGS001467 (GBE_INI25355) |
PSS005545| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.08297 [0.07899, 0.08696] Incremental R2 (full-covars): 0.02743 PGS R2 (no covariates): 0.02897 [0.02647, 0.03146] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005700 | PGS001468 (GBE_INI25354) |
PSS005536| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.11548 [0.10087, 0.13009] Incremental R2 (full-covars): -0.0165 PGS R2 (no covariates): 0.00025 [-0.00052, 0.00101] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005701 | PGS001468 (GBE_INI25354) |
PSS005537| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.18727 [0.15394, 0.2206] Incremental R2 (full-covars): 0.03473 PGS R2 (no covariates): 0.0677 [0.04471, 0.09069] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005702 | PGS001468 (GBE_INI25354) |
PSS005538| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.1201 [0.11253, 0.12767] Incremental R2 (full-covars): 0.04591 PGS R2 (no covariates): 0.04589 [0.04081, 0.05097] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005703 | PGS001468 (GBE_INI25354) |
PSS005539| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.04952 [0.04016, 0.05889] Incremental R2 (full-covars): -0.0186 PGS R2 (no covariates): 0.00012 [-0.00036, 0.0006] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005704 | PGS001468 (GBE_INI25354) |
PSS005540| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in inferior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.09087 [0.08674, 0.09501] Incremental R2 (full-covars): 0.02959 PGS R2 (no covariates): 0.03075 [0.02818, 0.03331] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005695 | PGS001469 (GBE_INI25353) |
PSS005531| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (L) | — | — | R²: 0.09884 [0.08507, 0.11261] Incremental R2 (full-covars): 0.00199 PGS R2 (no covariates): 0.00134 [-0.00044, 0.00312] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005696 | PGS001469 (GBE_INI25353) |
PSS005532| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (L) | — | — | R²: 0.11716 [0.08852, 0.1458] Incremental R2 (full-covars): -0.01554 PGS R2 (no covariates): 0.0049 [-0.0017, 0.01151] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005697 | PGS001469 (GBE_INI25353) |
PSS005533| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (L) | — | — | R²: 0.07708 [0.07071, 0.08344] Incremental R2 (full-covars): 0.00108 PGS R2 (no covariates): 0.00279 [0.00148, 0.0041] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005698 | PGS001469 (GBE_INI25353) |
PSS005534| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (L) | — | — | R²: 0.05956 [0.0494, 0.06972] Incremental R2 (full-covars): -0.00351 PGS R2 (no covariates): 4e-05 [-0.00025, 0.00034] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005699 | PGS001469 (GBE_INI25353) |
PSS005535| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (L) | — | — | R²: 0.05958 [0.05611, 0.06304] Incremental R2 (full-covars): 0.0046 PGS R2 (no covariates): 0.00522 [0.00414, 0.00631] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005690 | PGS001470 (GBE_INI25352) |
PSS005526| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (R) | — | — | R²: 0.13738 [0.12184, 0.15292] Incremental R2 (full-covars): 0.00529 PGS R2 (no covariates): 0.00445 [0.00122, 0.00768] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005691 | PGS001470 (GBE_INI25352) |
PSS005527| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (R) | — | — | R²: 0.1836 [0.15045, 0.21675] Incremental R2 (full-covars): -0.01111 PGS R2 (no covariates): 0.00026 [-0.00126, 0.00178] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005692 | PGS001470 (GBE_INI25352) |
PSS005528| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (R) | — | — | R²: 0.10496 [0.09776, 0.11216] Incremental R2 (full-covars): -0.00088 PGS R2 (no covariates): 0.00036 [-0.00011, 0.00084] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005693 | PGS001470 (GBE_INI25352) |
PSS005529| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (R) | — | — | R²: 0.09498 [0.08263, 0.10733] Incremental R2 (full-covars): -0.00707 PGS R2 (no covariates): 0.0012 [-0.00033, 0.00274] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005694 | PGS001470 (GBE_INI25352) |
PSS005530| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in medial lemniscus on FA skeleton (R) | — | — | R²: 0.07678 [0.07292, 0.08065] Incremental R2 (full-covars): 0.00385 PGS R2 (no covariates): 0.00447 [0.00346, 0.00547] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005670 | PGS001471 (GBE_INI25344) |
PSS005506| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.14989 [0.1339, 0.16589] Incremental R2 (full-covars): -0.01701 PGS R2 (no covariates): 0.00101 [-0.00053, 0.00255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005671 | PGS001471 (GBE_INI25344) |
PSS005507| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.13217 [0.10227, 0.16207] Incremental R2 (full-covars): 0.02574 PGS R2 (no covariates): 0.02933 [0.01358, 0.04509] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005672 | PGS001471 (GBE_INI25344) |
PSS005508| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.11373 [0.10631, 0.12115] Incremental R2 (full-covars): 0.04606 PGS R2 (no covariates): 0.04072 [0.03591, 0.04552] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005673 | PGS001471 (GBE_INI25344) |
PSS005509| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.08651 [0.07462, 0.09841] Incremental R2 (full-covars): 0.02125 PGS R2 (no covariates): 0.0189 [0.01293, 0.02487] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005674 | PGS001471 (GBE_INI25344) |
PSS005510| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.06458 [0.06099, 0.06817] Incremental R2 (full-covars): 0.03331 PGS R2 (no covariates): 0.03292 [0.03027, 0.03557] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005785 | PGS001472 (GBE_INI25371) |
PSS005621| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.10218 [0.08823, 0.11613] Incremental R2 (full-covars): -0.03367 PGS R2 (no covariates): 0.00031 [-0.00054, 0.00116] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005786 | PGS001472 (GBE_INI25371) |
PSS005622| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.17973 [0.14677, 0.21268] Incremental R2 (full-covars): 0.0883 PGS R2 (no covariates): 0.13077 [0.10098, 0.16056] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005787 | PGS001472 (GBE_INI25371) |
PSS005623| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.14141 [0.1334, 0.14943] Incremental R2 (full-covars): 0.02478 PGS R2 (no covariates): 0.02383 [0.02009, 0.02757] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005788 | PGS001472 (GBE_INI25371) |
PSS005624| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.08974 [0.07767, 0.10181] Incremental R2 (full-covars): 0.0041 PGS R2 (no covariates): 0.01142 [0.00675, 0.0161] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005789 | PGS001472 (GBE_INI25371) |
PSS005625| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.1073 [0.10289, 0.11172] Incremental R2 (full-covars): 0.03228 PGS R2 (no covariates): 0.03331 [0.03065, 0.03598] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005780 | PGS001473 (GBE_INI25370) |
PSS005616| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (R) | — | — | R²: 0.08877 [0.07557, 0.10196] Incremental R2 (full-covars): -0.04387 PGS R2 (no covariates): 0.01284 [0.0074, 0.01828] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005781 | PGS001473 (GBE_INI25370) |
PSS005617| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (R) | — | — | R²: 0.16172 [0.12977, 0.19367] Incremental R2 (full-covars): 0.05012 PGS R2 (no covariates): 0.07845 [0.05399, 0.10292] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005782 | PGS001473 (GBE_INI25370) |
PSS005618| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (R) | — | — | R²: 0.15307 [0.14484, 0.1613] Incremental R2 (full-covars): 0.02434 PGS R2 (no covariates): 0.02233 [0.0187, 0.02596] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005783 | PGS001473 (GBE_INI25370) |
PSS005619| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (R) | — | — | R²: 0.09096 [0.07882, 0.1031] Incremental R2 (full-covars): -0.00123 PGS R2 (no covariates): 0.0073 [0.00355, 0.01106] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005784 | PGS001473 (GBE_INI25370) |
PSS005620| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior corona radiata on FA skeleton (R) | — | — | R²: 0.10557 [0.10118, 0.10996] Incremental R2 (full-covars): 0.0252 PGS R2 (no covariates): 0.02591 [0.02355, 0.02828] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005745 | PGS001474 (GBE_INI25363) |
PSS005581| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.13952 [0.1239, 0.15514] Incremental R2 (full-covars): 0.00594 PGS R2 (no covariates): 0.01188 [0.00665, 0.01712] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005746 | PGS001474 (GBE_INI25363) |
PSS005582| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.15006 [0.11886, 0.18127] Incremental R2 (full-covars): -0.00402 PGS R2 (no covariates): 0.01069 [0.001, 0.02039] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005747 | PGS001474 (GBE_INI25363) |
PSS005583| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.13201 [0.12417, 0.13984] Incremental R2 (full-covars): 0.04679 PGS R2 (no covariates): 0.04419 [0.0392, 0.04918] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005748 | PGS001474 (GBE_INI25363) |
PSS005584| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.05612 [0.04622, 0.06602] Incremental R2 (full-covars): 0.02903 PGS R2 (no covariates): 0.03003 [0.02259, 0.03748] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005749 | PGS001474 (GBE_INI25363) |
PSS005585| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (L) | — | — | R²: 0.08175 [0.07779, 0.08572] Incremental R2 (full-covars): 0.03973 PGS R2 (no covariates): 0.04017 [0.03727, 0.04307] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005740 | PGS001475 (GBE_INI25362) |
PSS005576| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.1618 [0.14542, 0.17819] Incremental R2 (full-covars): 0.0105 PGS R2 (no covariates): 0.00746 [0.00329, 0.01163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005741 | PGS001475 (GBE_INI25362) |
PSS005577| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.04877 [0.02887, 0.06868] Incremental R2 (full-covars): -0.01018 PGS R2 (no covariates): 0.00147 [-0.00216, 0.00509] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005742 | PGS001475 (GBE_INI25362) |
PSS005578| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.12234 [0.11471, 0.12996] Incremental R2 (full-covars): 0.04641 PGS R2 (no covariates): 0.04549 [0.04044, 0.05055] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005743 | PGS001475 (GBE_INI25362) |
PSS005579| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.0448 [0.03584, 0.05375] Incremental R2 (full-covars): 0.0214 PGS R2 (no covariates): 0.0251 [0.01826, 0.03194] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005744 | PGS001475 (GBE_INI25362) |
PSS005580| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior limb of internal capsule on FA skeleton (R) | — | — | R²: 0.0829 [0.07891, 0.08688] Incremental R2 (full-covars): 0.04026 PGS R2 (no covariates): 0.04105 [0.03812, 0.04399] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005795 | PGS001476 (GBE_INI25373) |
PSS005631| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.12516 [0.11011, 0.1402] Incremental R2 (full-covars): 0.00382 PGS R2 (no covariates): 0.01118 [0.0061, 0.01626] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005796 | PGS001476 (GBE_INI25373) |
PSS005632| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.12655 [0.0971, 0.156] Incremental R2 (full-covars): 0.05155 PGS R2 (no covariates): 0.05605 [0.03487, 0.07723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005797 | PGS001476 (GBE_INI25373) |
PSS005633| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.16598 [0.15754, 0.17442] Incremental R2 (full-covars): 0.03966 PGS R2 (no covariates): 0.03873 [0.03403, 0.04342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005798 | PGS001476 (GBE_INI25373) |
PSS005634| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.09248 [0.08026, 0.1047] Incremental R2 (full-covars): 0.02027 PGS R2 (no covariates): 0.02864 [0.02136, 0.03592] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005799 | PGS001476 (GBE_INI25373) |
PSS005635| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.12204 [0.11741, 0.12667] Incremental R2 (full-covars): 0.04292 PGS R2 (no covariates): 0.0438 [0.04078, 0.04682] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005790 | PGS001477 (GBE_INI25372) |
PSS005626| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.11902 [0.10425, 0.1338] Incremental R2 (full-covars): -0.00606 PGS R2 (no covariates): 0.00203 [-0.00015, 0.00422] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005791 | PGS001477 (GBE_INI25372) |
PSS005627| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.10198 [0.07481, 0.12916] Incremental R2 (full-covars): 0.0366 PGS R2 (no covariates): 0.04564 [0.02632, 0.06496] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005792 | PGS001477 (GBE_INI25372) |
PSS005628| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.15173 [0.14352, 0.15994] Incremental R2 (full-covars): 0.04436 PGS R2 (no covariates): 0.04296 [0.03803, 0.04789] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005793 | PGS001477 (GBE_INI25372) |
PSS005629| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.09222 [0.08001, 0.10442] Incremental R2 (full-covars): 0.02953 PGS R2 (no covariates): 0.03434 [0.02642, 0.04226] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005794 | PGS001477 (GBE_INI25372) |
PSS005630| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in posterior thalamic radiation on FA skeleton (R) | — | — | R²: 0.10493 [0.10055, 0.10931] Incremental R2 (full-covars): 0.04115 PGS R2 (no covariates): 0.04204 [0.03908, 0.04501] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005755 | PGS001478 (GBE_INI25365) |
PSS005591| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.10852 [0.09424, 0.12279] Incremental R2 (full-covars): -0.01189 PGS R2 (no covariates): 0.00207 [-0.00014, 0.00428] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005756 | PGS001478 (GBE_INI25365) |
PSS005592| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.14684 [0.11586, 0.17782] Incremental R2 (full-covars): 0.04715 PGS R2 (no covariates): 0.05612 [0.03493, 0.07731] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005757 | PGS001478 (GBE_INI25365) |
PSS005593| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.11474 [0.10729, 0.12219] Incremental R2 (full-covars): 0.05999 PGS R2 (no covariates): 0.05624 [0.05068, 0.0618] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005758 | PGS001478 (GBE_INI25365) |
PSS005594| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.07434 [0.06317, 0.08552] Incremental R2 (full-covars): 0.02873 PGS R2 (no covariates): 0.03833 [0.03, 0.04667] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005759 | PGS001478 (GBE_INI25365) |
PSS005595| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (L) | — | — | R²: 0.09015 [0.08603, 0.09428] Incremental R2 (full-covars): 0.05791 PGS R2 (no covariates): 0.05841 [0.05497, 0.06184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005750 | PGS001479 (GBE_INI25364) |
PSS005586| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.14562 [0.12977, 0.16146] Incremental R2 (full-covars): 0.0059 PGS R2 (no covariates): 0.00703 [0.00298, 0.01108] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005751 | PGS001479 (GBE_INI25364) |
PSS005587| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.05415 [0.03329, 0.07501] Incremental R2 (full-covars): 0.01161 PGS R2 (no covariates): 0.01682 [0.00474, 0.02891] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005752 | PGS001479 (GBE_INI25364) |
PSS005588| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.11752 [0.11001, 0.12504] Incremental R2 (full-covars): 0.06154 PGS R2 (no covariates): 0.05763 [0.05201, 0.06325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005753 | PGS001479 (GBE_INI25364) |
PSS005589| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.06233 [0.05197, 0.0727] Incremental R2 (full-covars): 0.01734 PGS R2 (no covariates): 0.02365 [0.017, 0.03029] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005754 | PGS001479 (GBE_INI25364) |
PSS005590| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in retrolenticular part of internal capsule on FA skeleton (R) | — | — | R²: 0.07454 [0.07073, 0.07836] Incremental R2 (full-covars): 0.04209 PGS R2 (no covariates): 0.04237 [0.03939, 0.04534] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005805 | PGS001480 (GBE_INI25375) |
PSS005641| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.09188 [0.0785, 0.10526] Incremental R2 (full-covars): -0.00673 PGS R2 (no covariates): 0.00288 [0.00028, 0.00548] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005806 | PGS001480 (GBE_INI25375) |
PSS005642| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.12701 [0.09753, 0.1565] Incremental R2 (full-covars): 0.04581 PGS R2 (no covariates): 0.04771 [0.028, 0.06742] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005807 | PGS001480 (GBE_INI25375) |
PSS005643| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.16276 [0.15437, 0.17115] Incremental R2 (full-covars): 0.06099 PGS R2 (no covariates): 0.05944 [0.05374, 0.06513] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005808 | PGS001480 (GBE_INI25375) |
PSS005644| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.12457 [0.11089, 0.13825] Incremental R2 (full-covars): 0.03818 PGS R2 (no covariates): 0.04747 [0.03828, 0.05666] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005809 | PGS001480 (GBE_INI25375) |
PSS005645| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.12061 [0.116, 0.12522] Incremental R2 (full-covars): 0.05269 PGS R2 (no covariates): 0.05331 [0.05001, 0.05661] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005800 | PGS001481 (GBE_INI25374) |
PSS005636| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.08959 [0.07634, 0.10283] Incremental R2 (full-covars): 0.00586 PGS R2 (no covariates): 0.01199 [0.00673, 0.01725] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005801 | PGS001481 (GBE_INI25374) |
PSS005637| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.10924 [0.08134, 0.13714] Incremental R2 (full-covars): 0.01834 PGS R2 (no covariates): 0.02409 [0.00973, 0.03844] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005802 | PGS001481 (GBE_INI25374) |
PSS005638| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.12834 [0.12059, 0.1361] Incremental R2 (full-covars): 0.05465 PGS R2 (no covariates): 0.05137 [0.04603, 0.05671] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005803 | PGS001481 (GBE_INI25374) |
PSS005639| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.1004 [0.08778, 0.11303] Incremental R2 (full-covars): 0.05061 PGS R2 (no covariates): 0.05872 [0.04863, 0.06882] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005804 | PGS001481 (GBE_INI25374) |
PSS005640| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.10073 [0.09642, 0.10504] Incremental R2 (full-covars): 0.05098 PGS R2 (no covariates): 0.05062 [0.0474, 0.05385] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005715 | PGS001482 (GBE_INI25357) |
PSS005551| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.03035 [0.02214, 0.03856] Incremental R2 (full-covars): -0.01973 PGS R2 (no covariates): 1e-05 [-0.00011, 0.00012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005716 | PGS001482 (GBE_INI25357) |
PSS005552| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.233 [0.19792, 0.26809] Incremental R2 (full-covars): 0.03364 PGS R2 (no covariates): 0.0586 [0.037, 0.0802] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005717 | PGS001482 (GBE_INI25357) |
PSS005553| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.05341 [0.04798, 0.05884] Incremental R2 (full-covars): 0.02487 PGS R2 (no covariates): 0.02412 [0.02036, 0.02789] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005718 | PGS001482 (GBE_INI25357) |
PSS005554| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.07073 [0.05979, 0.08167] Incremental R2 (full-covars): 0.00382 PGS R2 (no covariates): 0.01169 [0.00696, 0.01642] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005719 | PGS001482 (GBE_INI25357) |
PSS005555| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (L) | — | — | R²: 0.05252 [0.04924, 0.0558] Incremental R2 (full-covars): 0.01824 PGS R2 (no covariates): 0.02038 [0.01827, 0.0225] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005710 | PGS001483 (GBE_INI25356) |
PSS005546| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.05252 [0.04196, 0.06307] Incremental R2 (full-covars): -0.01369 PGS R2 (no covariates): 0.0005 [-0.00059, 0.00158] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005711 | PGS001483 (GBE_INI25356) |
PSS005547| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.27369 [0.23768, 0.3097] Incremental R2 (full-covars): 0.01594 PGS R2 (no covariates): 0.04077 [0.02242, 0.05913] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005712 | PGS001483 (GBE_INI25356) |
PSS005548| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.07303 [0.06681, 0.07925] Incremental R2 (full-covars): 0.02367 PGS R2 (no covariates): 0.02543 [0.02157, 0.02929] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005713 | PGS001483 (GBE_INI25356) |
PSS005549| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.06534 [0.05476, 0.07592] Incremental R2 (full-covars): 0.00545 PGS R2 (no covariates): 0.01016 [0.00574, 0.01457] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005714 | PGS001483 (GBE_INI25356) |
PSS005550| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.08076 [0.07682, 0.0847] Incremental R2 (full-covars): 0.02057 PGS R2 (no covariates): 0.02151 [0.01935, 0.02368] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005775 | PGS001484 (GBE_INI25369) |
PSS005611| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.11706 [0.10238, 0.13175] Incremental R2 (full-covars): -0.02573 PGS R2 (no covariates): 1e-05 [-0.00011, 0.00012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005776 | PGS001484 (GBE_INI25369) |
PSS005612| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.16936 [0.13696, 0.20175] Incremental R2 (full-covars): 0.05304 PGS R2 (no covariates): 0.07838 [0.05393, 0.10284] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005777 | PGS001484 (GBE_INI25369) |
PSS005613| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.19065 [0.18187, 0.19942] Incremental R2 (full-covars): 0.03235 PGS R2 (no covariates): 0.03418 [0.02974, 0.03861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005778 | PGS001484 (GBE_INI25369) |
PSS005614| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.115 [0.10171, 0.12829] Incremental R2 (full-covars): 0.00853 PGS R2 (no covariates): 0.01323 [0.0082, 0.01825] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005779 | PGS001484 (GBE_INI25369) |
PSS005615| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.15642 [0.15139, 0.16146] Incremental R2 (full-covars): 0.04215 PGS R2 (no covariates): 0.04259 [0.03961, 0.04557] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005770 | PGS001485 (GBE_INI25368) |
PSS005606| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.12073 [0.10588, 0.13558] Incremental R2 (full-covars): -0.02043 PGS R2 (no covariates): 0.00033 [-0.00055, 0.00122] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005771 | PGS001485 (GBE_INI25368) |
PSS005607| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.18849 [0.15511, 0.22188] Incremental R2 (full-covars): 0.08472 PGS R2 (no covariates): 0.1474 [0.11638, 0.17842] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005772 | PGS001485 (GBE_INI25368) |
PSS005608| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.18622 [0.1775, 0.19494] Incremental R2 (full-covars): 0.03512 PGS R2 (no covariates): 0.0353 [0.0308, 0.0398] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005773 | PGS001485 (GBE_INI25368) |
PSS005609| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.09899 [0.08643, 0.11154] Incremental R2 (full-covars): -0.00257 PGS R2 (no covariates): 0.00948 [0.00521, 0.01374] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005774 | PGS001485 (GBE_INI25368) |
PSS005610| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.14566 [0.14074, 0.15058] Incremental R2 (full-covars): 0.04736 PGS R2 (no covariates): 0.04922 [0.04603, 0.0524] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005865 | PGS001486 (GBE_INI25387) |
PSS005701| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.29905 [0.28042, 0.31769] Incremental R2 (full-covars): -0.01079 PGS R2 (no covariates): 0.00141 [-0.00041, 0.00324] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005866 | PGS001486 (GBE_INI25387) |
PSS005702| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.23959 [0.20431, 0.27486] Incremental R2 (full-covars): 0.01737 PGS R2 (no covariates): 0.01934 [0.00641, 0.03226] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005867 | PGS001486 (GBE_INI25387) |
PSS005703| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.26457 [0.25517, 0.27396] Incremental R2 (full-covars): 0.01053 PGS R2 (no covariates): 0.00657 [0.00457, 0.00857] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005868 | PGS001486 (GBE_INI25387) |
PSS005704| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.21751 [0.20135, 0.23367] Incremental R2 (full-covars): -0.00421 PGS R2 (no covariates): 0.00322 [0.00072, 0.00573] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005869 | PGS001486 (GBE_INI25387) |
PSS005705| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (L) | — | — | R²: 0.20822 [0.20277, 0.21368] Incremental R2 (full-covars): 0.00598 PGS R2 (no covariates): 0.00596 [0.0048, 0.00712] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005860 | PGS001487 (GBE_INI25386) |
PSS005696| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.22727 [0.20936, 0.24517] Incremental R2 (full-covars): -0.02183 PGS R2 (no covariates): 0.00421 [0.00107, 0.00734] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005861 | PGS001487 (GBE_INI25386) |
PSS005697| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.21255 [0.17814, 0.24695] Incremental R2 (full-covars): 0.04708 PGS R2 (no covariates): 0.08153 [0.05668, 0.10638] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005862 | PGS001487 (GBE_INI25386) |
PSS005698| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.26319 [0.2538, 0.27257] Incremental R2 (full-covars): 0.006 PGS R2 (no covariates): 0.00385 [0.00232, 0.00539] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005863 | PGS001487 (GBE_INI25386) |
PSS005699| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.19844 [0.18263, 0.21425] Incremental R2 (full-covars): 0.00231 PGS R2 (no covariates): 0.00356 [0.00093, 0.00619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005864 | PGS001487 (GBE_INI25386) |
PSS005700| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (R) | — | — | R²: 0.19676 [0.19138, 0.20213] Incremental R2 (full-covars): 0.0071 PGS R2 (no covariates): 0.00794 [0.00661, 0.00928] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005855 | PGS001488 (GBE_INI25385) |
PSS005691| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.10983 [0.09549, 0.12417] Incremental R2 (full-covars): 0.00225 PGS R2 (no covariates): 0.00525 [0.00174, 0.00875] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005856 | PGS001488 (GBE_INI25385) |
PSS005692| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.16573 [0.13355, 0.19792] Incremental R2 (full-covars): 0.0478 PGS R2 (no covariates): 0.06379 [0.04139, 0.0862] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005857 | PGS001488 (GBE_INI25385) |
PSS005693| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.16717 [0.15871, 0.17562] Incremental R2 (full-covars): 0.05272 PGS R2 (no covariates): 0.05041 [0.04511, 0.0557] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005858 | PGS001488 (GBE_INI25385) |
PSS005694| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.09514 [0.08279, 0.1075] Incremental R2 (full-covars): 0.03963 PGS R2 (no covariates): 0.04338 [0.03456, 0.0522] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005859 | PGS001488 (GBE_INI25385) |
PSS005695| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (L) | — | — | R²: 0.13229 [0.12753, 0.13705] Incremental R2 (full-covars): 0.05913 PGS R2 (no covariates): 0.05935 [0.05589, 0.0628] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005850 | PGS001489 (GBE_INI25384) |
PSS005686| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.11009 [0.09574, 0.12444] Incremental R2 (full-covars): -0.01244 PGS R2 (no covariates): 0.00024 [-0.00051, 0.00099] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005851 | PGS001489 (GBE_INI25384) |
PSS005687| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.14796 [0.1169, 0.17902] Incremental R2 (full-covars): 0.04141 PGS R2 (no covariates): 0.06303 [0.04074, 0.08532] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005852 | PGS001489 (GBE_INI25384) |
PSS005688| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.14625 [0.13814, 0.15436] Incremental R2 (full-covars): 0.05156 PGS R2 (no covariates): 0.05133 [0.04599, 0.05667] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005853 | PGS001489 (GBE_INI25384) |
PSS005689| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.07664 [0.06532, 0.08795] Incremental R2 (full-covars): 0.02934 PGS R2 (no covariates): 0.03361 [0.02576, 0.04145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005854 | PGS001489 (GBE_INI25384) |
PSS005690| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in superior longitudinal fasciculus on FA skeleton (R) | — | — | R²: 0.10139 [0.09707, 0.10571] Incremental R2 (full-covars): 0.05428 PGS R2 (no covariates): 0.05507 [0.05173, 0.05842] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005880 | PGS001490 (GBE_INI25391) |
PSS005716| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in tapetum on FA skeleton (L) | — | — | R²: 0.08613 [0.0731, 0.09917] Incremental R2 (full-covars): 0.00672 PGS R2 (no covariates): 0.00456 [0.00129, 0.00783] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005881 | PGS001490 (GBE_INI25391) |
PSS005717| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in tapetum on FA skeleton (L) | — | — | R²: 0.06545 [0.0428, 0.08811] Incremental R2 (full-covars): 0.00035 PGS R2 (no covariates): 0.00793 [-0.00044, 0.0163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005882 | PGS001490 (GBE_INI25391) |
PSS005718| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in tapetum on FA skeleton (L) | — | — | R²: 0.11254 [0.10514, 0.11993] Incremental R2 (full-covars): 0.00278 PGS R2 (no covariates): 0.00425 [0.00264, 0.00587] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005883 | PGS001490 (GBE_INI25391) |
PSS005719| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in tapetum on FA skeleton (L) | — | — | R²: 0.10571 [0.09284, 0.11859] Incremental R2 (full-covars): -0.00602 PGS R2 (no covariates): 0.00338 [0.00082, 0.00595] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005884 | PGS001490 (GBE_INI25391) |
PSS005720| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in tapetum on FA skeleton (L) | — | — | R²: 0.10018 [0.09588, 0.10448] Incremental R2 (full-covars): 0.00783 PGS R2 (no covariates): 0.00695 [0.0057, 0.0082] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005875 | PGS001491 (GBE_INI25389) |
PSS005711| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (L) | — | — | R²: 0.10863 [0.09435, 0.12291] Incremental R2 (full-covars): 0.01373 PGS R2 (no covariates): 0.01289 [0.00744, 0.01834] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005876 | PGS001491 (GBE_INI25389) |
PSS005712| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (L) | — | — | R²: 0.16723 [0.13496, 0.19951] Incremental R2 (full-covars): 0.00898 PGS R2 (no covariates): 0.01611 [0.00428, 0.02795] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005877 | PGS001491 (GBE_INI25389) |
PSS005713| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (L) | — | — | R²: 0.10698 [0.09973, 0.11424] Incremental R2 (full-covars): 0.02363 PGS R2 (no covariates): 0.01945 [0.01605, 0.02284] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005878 | PGS001491 (GBE_INI25389) |
PSS005714| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (L) | — | — | R²: 0.041 [0.0324, 0.0496] Incremental R2 (full-covars): -0.00446 PGS R2 (no covariates): 0.00371 [0.00102, 0.0064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005879 | PGS001491 (GBE_INI25389) |
PSS005715| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (L) | — | — | R²: 0.06648 [0.06285, 0.07011] Incremental R2 (full-covars): 0.01404 PGS R2 (no covariates): 0.01365 [0.01191, 0.01539] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005870 | PGS001492 (GBE_INI25388) |
PSS005706| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.08273 [0.06991, 0.09556] Incremental R2 (full-covars): -0.00301 PGS R2 (no covariates): 6e-05 [-0.00033, 0.00045] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005871 | PGS001492 (GBE_INI25388) |
PSS005707| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.12122 [0.09223, 0.15022] Incremental R2 (full-covars): 0.03539 PGS R2 (no covariates): 0.0515 [0.03111, 0.0719] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005872 | PGS001492 (GBE_INI25388) |
PSS005708| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.09693 [0.08995, 0.10391] Incremental R2 (full-covars): 0.02174 PGS R2 (no covariates): 0.01857 [0.01524, 0.02189] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005873 | PGS001492 (GBE_INI25388) |
PSS005709| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.04851 [0.03924, 0.05779] Incremental R2 (full-covars): 0.00598 PGS R2 (no covariates): 0.01025 [0.00582, 0.01469] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005874 | PGS001492 (GBE_INI25388) |
PSS005710| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in uncinate fasciculus on FA skeleton (R) | — | — | R²: 0.06938 [0.06568, 0.07308] Incremental R2 (full-covars): 0.01641 PGS R2 (no covariates): 0.01696 [0.01503, 0.01889] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005905 | PGS001493 (GBE_INI25463) |
PSS005741| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.14822 [0.13228, 0.16416] Incremental R2 (full-covars): 0.01345 PGS R2 (no covariates): 0.02141 [0.01445, 0.02837] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005906 | PGS001493 (GBE_INI25463) |
PSS005742| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.09678 [0.07015, 0.1234] Incremental R2 (full-covars): -0.01718 PGS R2 (no covariates): 0.01295 [0.0023, 0.02359] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005907 | PGS001493 (GBE_INI25463) |
PSS005743| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.05657 [0.051, 0.06214] Incremental R2 (full-covars): 0.00608 PGS R2 (no covariates): 0.00649 [0.0045, 0.00847] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005908 | PGS001493 (GBE_INI25463) |
PSS005744| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.03672 [0.02854, 0.04489] Incremental R2 (full-covars): -0.00589 PGS R2 (no covariates): 0.0 [-0.00002, 0.00002] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005909 | PGS001493 (GBE_INI25463) |
PSS005745| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (L) | — | — | R²: 0.05485 [0.05151, 0.0582] Incremental R2 (full-covars): 0.01337 PGS R2 (no covariates): 0.01386 [0.0121, 0.01561] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005900 | PGS001494 (GBE_INI25462) |
PSS005736| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.13983 [0.1242, 0.15547] Incremental R2 (full-covars): 0.00433 PGS R2 (no covariates): 0.00602 [0.00227, 0.00977] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005901 | PGS001494 (GBE_INI25462) |
PSS005737| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.05202 [0.03153, 0.07251] Incremental R2 (full-covars): -0.00746 PGS R2 (no covariates): 0.00155 [-0.00218, 0.00528] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005902 | PGS001494 (GBE_INI25462) |
PSS005738| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.03973 [0.03498, 0.04449] Incremental R2 (full-covars): 0.00713 PGS R2 (no covariates): 0.00907 [0.00673, 0.01141] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005903 | PGS001494 (GBE_INI25462) |
PSS005739| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.03415 [0.02625, 0.04206] Incremental R2 (full-covars): -0.00293 PGS R2 (no covariates): 0.0001 [-0.00034, 0.00055] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005904 | PGS001494 (GBE_INI25462) |
PSS005740| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in anterior corona radiata on FA skeleton (R) | — | — | R²: 0.03569 [0.03294, 0.03844] Incremental R2 (full-covars): 0.00938 PGS R2 (no covariates): 0.01112 [0.00954, 0.01269] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005885 | PGS001495 (GBE_INI25443) |
PSS005721| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in body of corpus callosum on FA skeleton | — | — | R²: 0.14541 [0.12957, 0.16125] Incremental R2 (full-covars): -0.00087 PGS R2 (no covariates): 0.00256 [0.00011, 0.00502] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005886 | PGS001495 (GBE_INI25443) |
PSS005722| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in body of corpus callosum on FA skeleton | — | — | R²: 0.33506 [0.29859, 0.37154] Incremental R2 (full-covars): 0.01075 PGS R2 (no covariates): 0.03653 [0.01908, 0.05398] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005887 | PGS001495 (GBE_INI25443) |
PSS005723| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in body of corpus callosum on FA skeleton | — | — | R²: 0.17937 [0.17074, 0.188] Incremental R2 (full-covars): 0.01249 PGS R2 (no covariates): 0.01105 [0.00847, 0.01364] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005888 | PGS001495 (GBE_INI25443) |
PSS005724| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in body of corpus callosum on FA skeleton | — | — | R²: 0.19399 [0.17827, 0.20971] Incremental R2 (full-covars): 0.00153 PGS R2 (no covariates): 0.00109 [-0.00037, 0.00255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005889 | PGS001495 (GBE_INI25443) |
PSS005725| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in body of corpus callosum on FA skeleton | — | — | R²: 0.16646 [0.16133, 0.1716] Incremental R2 (full-covars): 0.00343 PGS R2 (no covariates): 0.0056 [0.00448, 0.00672] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005950 | PGS001496 (GBE_INI25475) |
PSS005786| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.06633 [0.05464, 0.07802] Incremental R2 (full-covars): 0.00329 PGS R2 (no covariates): 0.00416 [0.00104, 0.00729] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005951 | PGS001496 (GBE_INI25475) |
PSS005787| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.06861 [0.04549, 0.09172] Incremental R2 (full-covars): 0.00905 PGS R2 (no covariates): 0.04543 [0.02615, 0.06471] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005952 | PGS001496 (GBE_INI25475) |
PSS005788| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.01544 [0.0124, 0.01848] Incremental R2 (full-covars): 0.00428 PGS R2 (no covariates): 0.00535 [0.00354, 0.00716] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005953 | PGS001496 (GBE_INI25475) |
PSS005789| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.0504 [0.04096, 0.05984] Incremental R2 (full-covars): 0.00069 PGS R2 (no covariates): 0.00116 [-0.00035, 0.00266] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005954 | PGS001496 (GBE_INI25475) |
PSS005790| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (L) | — | — | R²: 0.00578 [0.00464, 0.00692] Incremental R2 (full-covars): 0.00391 PGS R2 (no covariates): 0.0053 [0.00421, 0.00639] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005945 | PGS001497 (GBE_INI25474) |
PSS005781| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.07299 [0.06082, 0.08516] Incremental R2 (full-covars): -0.00156 PGS R2 (no covariates): 0.0 [-0.00002, 0.00002] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005946 | PGS001497 (GBE_INI25474) |
PSS005782| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.09174 [0.06567, 0.11781] Incremental R2 (full-covars): 0.00743 PGS R2 (no covariates): 0.01657 [0.00457, 0.02857] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005947 | PGS001497 (GBE_INI25474) |
PSS005783| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.01929 [0.01591, 0.02267] Incremental R2 (full-covars): 0.00482 PGS R2 (no covariates): 0.0056 [0.00375, 0.00745] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005948 | PGS001497 (GBE_INI25474) |
PSS005784| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.05554 [0.04569, 0.0654] Incremental R2 (full-covars): 0.00687 PGS R2 (no covariates): 0.007 [0.00332, 0.01068] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005949 | PGS001497 (GBE_INI25474) |
PSS005785| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in cingulum cingulate gyrus on FA skeleton (R) | — | — | R²: 0.01415 [0.01238, 0.01592] Incremental R2 (full-covars): 0.00876 PGS R2 (no covariates): 0.01115 [0.00957, 0.01272] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005940 | PGS001498 (GBE_INI25473) |
PSS005776| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in external capsule on FA skeleton (L) | — | — | R²: 0.14438 [0.12858, 0.16018] Incremental R2 (full-covars): 0.00456 PGS R2 (no covariates): 0.00804 [0.00371, 0.01236] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005941 | PGS001498 (GBE_INI25473) |
PSS005777| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in external capsule on FA skeleton (L) | — | — | R²: 0.27599 [0.23994, 0.31203] Incremental R2 (full-covars): -0.00509 PGS R2 (no covariates): 5e-05 [-0.00061, 0.00071] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005942 | PGS001498 (GBE_INI25473) |
PSS005778| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in external capsule on FA skeleton (L) | — | — | R²: 0.09641 [0.08944, 0.10338] Incremental R2 (full-covars): 0.00319 PGS R2 (no covariates): 0.00373 [0.00222, 0.00524] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005943 | PGS001498 (GBE_INI25473) |
PSS005779| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in external capsule on FA skeleton (L) | — | — | R²: 0.04023 [0.0317, 0.04875] Incremental R2 (full-covars): 0.00061 PGS R2 (no covariates): 0.00059 [-0.00048, 0.00167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005944 | PGS001498 (GBE_INI25473) |
PSS005780| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in external capsule on FA skeleton (L) | — | — | R²: 0.07324 [0.06946, 0.07703] Incremental R2 (full-covars): 0.00474 PGS R2 (no covariates): 0.00567 [0.00454, 0.0068] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005890 | PGS001499 (GBE_INI25445) |
PSS005726| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.42257 [0.40433, 0.44082] Incremental R2 (full-covars): 0.00607 PGS R2 (no covariates): 0.00713 [0.00306, 0.01121] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005891 | PGS001499 (GBE_INI25445) |
PSS005727| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.40925 [0.37344, 0.44507] Incremental R2 (full-covars): -0.01268 PGS R2 (no covariates): 0.00341 [-0.0021, 0.00893] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005892 | PGS001499 (GBE_INI25445) |
PSS005728| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.29493 [0.28542, 0.30444] Incremental R2 (full-covars): 0.01529 PGS R2 (no covariates): 0.01451 [0.01157, 0.01746] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005893 | PGS001499 (GBE_INI25445) |
PSS005729| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.38934 [0.37247, 0.40622] Incremental R2 (full-covars): 0.00152 PGS R2 (no covariates): 0.00097 [-0.00041, 0.00234] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005894 | PGS001499 (GBE_INI25445) |
PSS005730| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in fornix on FA skeleton | — | — | R²: 0.3119 [0.3061, 0.3177] Incremental R2 (full-covars): 0.01206 PGS R2 (no covariates): 0.0106 [0.00907, 0.01214] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005920 | PGS001500 (GBE_INI25467) |
PSS005756| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.1258 [0.11073, 0.14087] Incremental R2 (full-covars): 0.01394 PGS R2 (no covariates): 0.024 [0.01665, 0.03135] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005921 | PGS001500 (GBE_INI25467) |
PSS005757| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.13289 [0.10294, 0.16285] Incremental R2 (full-covars): -0.00535 PGS R2 (no covariates): 0.00064 [-0.00175, 0.00303] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005922 | PGS001500 (GBE_INI25467) |
PSS005758| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.06558 [0.05964, 0.07152] Incremental R2 (full-covars): 0.00496 PGS R2 (no covariates): 0.00415 [0.00256, 0.00574] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005923 | PGS001500 (GBE_INI25467) |
PSS005759| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.07722 [0.06586, 0.08857] Incremental R2 (full-covars): -0.00455 PGS R2 (no covariates): 0.00089 [-0.00043, 0.00222] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005924 | PGS001500 (GBE_INI25467) |
PSS005760| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior corona radiata on FA skeleton (L) | — | — | R²: 0.06692 [0.06327, 0.07056] Incremental R2 (full-covars): 0.00335 PGS R2 (no covariates): 0.00403 [0.00308, 0.00499] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005925 | PGS001501 (GBE_INI25469) |
PSS005761| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.1287 [0.11351, 0.1439] Incremental R2 (full-covars): 0.00064 PGS R2 (no covariates): 0.00036 [-0.00056, 0.00129] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005926 | PGS001501 (GBE_INI25469) |
PSS005762| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.09189 [0.0658, 0.11798] Incremental R2 (full-covars): -0.00439 PGS R2 (no covariates): 0.00205 [-0.00223, 0.00633] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005927 | PGS001501 (GBE_INI25469) |
PSS005763| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.07469 [0.06841, 0.08097] Incremental R2 (full-covars): 0.0125 PGS R2 (no covariates): 0.00909 [0.00675, 0.01144] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005928 | PGS001501 (GBE_INI25469) |
PSS005764| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.03279 [0.02504, 0.04055] Incremental R2 (full-covars): -0.00099 PGS R2 (no covariates): 0.00101 [-0.0004, 0.00241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005929 | PGS001501 (GBE_INI25469) |
PSS005765| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in posterior thalamic radiation on FA skeleton (L) | — | — | R²: 0.05597 [0.0526, 0.05934] Incremental R2 (full-covars): 0.00657 PGS R2 (no covariates): 0.00712 [0.00586, 0.00839] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005935 | PGS001502 (GBE_INI25471) |
PSS005771| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.08649 [0.07343, 0.09955] Incremental R2 (full-covars): 0.0173 PGS R2 (no covariates): 0.02685 [0.0191, 0.0346] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005936 | PGS001502 (GBE_INI25471) |
PSS005772| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.17768 [0.14483, 0.21053] Incremental R2 (full-covars): 0.00828 PGS R2 (no covariates): 0.00377 [-0.00203, 0.00956] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005937 | PGS001502 (GBE_INI25471) |
PSS005773| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.01724 [0.01403, 0.02044] Incremental R2 (full-covars): 0.00442 PGS R2 (no covariates): 0.00386 [0.00232, 0.0054] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005938 | PGS001502 (GBE_INI25471) |
PSS005774| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.04887 [0.03956, 0.05818] Incremental R2 (full-covars): 0.00069 PGS R2 (no covariates): 0.00182 [-0.00006, 0.00371] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005939 | PGS001502 (GBE_INI25471) |
PSS005775| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (L) | — | — | R²: 0.03088 [0.02831, 0.03345] Incremental R2 (full-covars): 0.0093 PGS R2 (no covariates): 0.01011 [0.00861, 0.01161] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005930 | PGS001503 (GBE_INI25470) |
PSS005766| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.18912 [0.17198, 0.20626] Incremental R2 (full-covars): 0.02197 PGS R2 (no covariates): 0.03724 [0.02821, 0.04628] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005931 | PGS001503 (GBE_INI25470) |
PSS005767| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.10424 [0.07684, 0.13165] Incremental R2 (full-covars): -0.00484 PGS R2 (no covariates): 0.0014 [-0.00214, 0.00495] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005932 | PGS001503 (GBE_INI25470) |
PSS005768| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.04572 [0.04066, 0.05079] Incremental R2 (full-covars): 0.01882 PGS R2 (no covariates): 0.01959 [0.01618, 0.023] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005933 | PGS001503 (GBE_INI25470) |
PSS005769| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.08043 [0.06888, 0.09198] Incremental R2 (full-covars): 0.02897 PGS R2 (no covariates): 0.03878 [0.0304, 0.04716] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005934 | PGS001503 (GBE_INI25470) |
PSS005770| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in sagittal stratum on FA skeleton (R) | — | — | R²: 0.05597 [0.0526, 0.05934] Incremental R2 (full-covars): 0.00972 PGS R2 (no covariates): 0.01191 [0.01029, 0.01354] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005895 | PGS001504 (GBE_INI25452) |
PSS005731| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.087 [0.07391, 0.10009] Incremental R2 (full-covars): 0.00177 PGS R2 (no covariates): 0.00383 [0.00083, 0.00683] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005896 | PGS001504 (GBE_INI25452) |
PSS005732| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.14595 [0.11503, 0.17687] Incremental R2 (full-covars): 0.01693 PGS R2 (no covariates): 0.03993 [0.02175, 0.05811] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005897 | PGS001504 (GBE_INI25452) |
PSS005733| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.03088 [0.02665, 0.03511] Incremental R2 (full-covars): 0.00562 PGS R2 (no covariates): 0.00514 [0.00337, 0.00691] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005898 | PGS001504 (GBE_INI25452) |
PSS005734| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.06515 [0.05458, 0.07571] Incremental R2 (full-covars): 0.00188 PGS R2 (no covariates): 0.00384 [0.00111, 0.00657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005899 | PGS001504 (GBE_INI25452) |
PSS005735| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior cerebellar peduncle on FA skeleton (R) | — | — | R²: 0.04125 [0.03831, 0.04419] Incremental R2 (full-covars): 0.00617 PGS R2 (no covariates): 0.00621 [0.00503, 0.00739] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005915 | PGS001505 (GBE_INI25465) |
PSS005751| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.1208 [0.10595, 0.13566] Incremental R2 (full-covars): 0.00325 PGS R2 (no covariates): 0.0006 [-0.00059, 0.00178] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005916 | PGS001505 (GBE_INI25465) |
PSS005752| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.15985 [0.12801, 0.19168] Incremental R2 (full-covars): -0.00418 PGS R2 (no covariates): 0.00111 [-0.00205, 0.00427] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005917 | PGS001505 (GBE_INI25465) |
PSS005753| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.10214 [0.09501, 0.10926] Incremental R2 (full-covars): 0.00489 PGS R2 (no covariates): 0.00588 [0.00399, 0.00778] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005918 | PGS001505 (GBE_INI25465) |
PSS005754| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.07684 [0.06551, 0.08817] Incremental R2 (full-covars): -0.00164 PGS R2 (no covariates): 0.00088 [-0.00043, 0.00218] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005919 | PGS001505 (GBE_INI25465) |
PSS005755| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (L) | — | — | R²: 0.09935 [0.09506, 0.10363] Incremental R2 (full-covars): 0.00451 PGS R2 (no covariates): 0.00516 [0.00408, 0.00624] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005910 | PGS001506 (GBE_INI25464) |
PSS005746| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.14119 [0.12551, 0.15688] Incremental R2 (full-covars): 0.00823 PGS R2 (no covariates): 0.00543 [0.00186, 0.00899] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005911 | PGS001506 (GBE_INI25464) |
PSS005747| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.15533 [0.12378, 0.18688] Incremental R2 (full-covars): 0.00903 PGS R2 (no covariates): 0.00957 [0.00039, 0.01875] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005912 | PGS001506 (GBE_INI25464) |
PSS005748| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.08802 [0.0813, 0.09474] Incremental R2 (full-covars): 0.00364 PGS R2 (no covariates): 0.00356 [0.00208, 0.00503] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005913 | PGS001506 (GBE_INI25464) |
PSS005749| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.09075 [0.07862, 0.10287] Incremental R2 (full-covars): -0.00021 PGS R2 (no covariates): 0.00022 [-0.00044, 0.00087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005914 | PGS001506 (GBE_INI25464) |
PSS005750| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ISOVF in superior corona radiata on FA skeleton (R) | — | — | R²: 0.10032 [0.09602, 0.10462] Incremental R2 (full-covars): 0.00337 PGS R2 (no covariates): 0.00417 [0.0032, 0.00514] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005465 | PGS001507 (GBE_INI25028) |
PSS005301| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (L) | — | — | R²: 0.18535 [0.1683, 0.2024] Incremental R2 (full-covars): -0.00024 PGS R2 (no covariates): 0.00163 [-0.00033, 0.00359] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005466 | PGS001507 (GBE_INI25028) |
PSS005302| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (L) | — | — | R²: 0.12277 [0.09364, 0.1519] Incremental R2 (full-covars): 0.0064 PGS R2 (no covariates): 0.01704 [0.00488, 0.0292] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005467 | PGS001507 (GBE_INI25028) |
PSS005303| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (L) | — | — | R²: 0.0983 [0.09127, 0.10532] Incremental R2 (full-covars): 0.0566 PGS R2 (no covariates): 0.06093 [0.05518, 0.06669] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005468 | PGS001507 (GBE_INI25028) |
PSS005304| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (L) | — | — | R²: 0.13605 [0.12194, 0.15016] Incremental R2 (full-covars): 0.03811 PGS R2 (no covariates): 0.03132 [0.02373, 0.03891] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005469 | PGS001507 (GBE_INI25028) |
PSS005305| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (L) | — | — | R²: 0.09505 [0.09083, 0.09926] Incremental R2 (full-covars): 0.06213 PGS R2 (no covariates): 0.06423 [0.06065, 0.06781] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005470 | PGS001508 (GBE_INI25029) |
PSS005306| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (R) | — | — | R²: 0.10111 [0.08721, 0.115] Incremental R2 (full-covars): -0.01975 PGS R2 (no covariates): 0.00023 [-0.00051, 0.00098] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005471 | PGS001508 (GBE_INI25029) |
PSS005307| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (R) | — | — | R²: 0.20622 [0.17206, 0.24038] Incremental R2 (full-covars): 0.04141 PGS R2 (no covariates): 0.04974 [0.02965, 0.06982] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005472 | PGS001508 (GBE_INI25029) |
PSS005308| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (R) | — | — | R²: 0.099 [0.09196, 0.10604] Incremental R2 (full-covars): 0.06803 PGS R2 (no covariates): 0.07074 [0.0646, 0.07688] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005473 | PGS001508 (GBE_INI25029) |
PSS005309| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (R) | — | — | R²: 0.16135 [0.14644, 0.17627] Incremental R2 (full-covars): 0.03124 PGS R2 (no covariates): 0.02147 [0.01512, 0.02782] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005474 | PGS001508 (GBE_INI25029) |
PSS005310| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in caudate (R) | — | — | R²: 0.10439 [0.10002, 0.10875] Incremental R2 (full-covars): 0.07758 PGS R2 (no covariates): 0.08227 [0.0783, 0.08625] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005485 | PGS001509 (GBE_INI25032) |
PSS005321| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (L) | — | — | R²: 0.1042 [0.09015, 0.11826] Incremental R2 (full-covars): 0.00954 PGS R2 (no covariates): 0.01123 [0.00614, 0.01632] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005486 | PGS001509 (GBE_INI25032) |
PSS005322| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (L) | — | — | R²: 0.11852 [0.08977, 0.14728] Incremental R2 (full-covars): 0.06825 PGS R2 (no covariates): 0.0829 [0.05787, 0.10792] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005487 | PGS001509 (GBE_INI25032) |
PSS005323| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (L) | — | — | R²: 0.08374 [0.07715, 0.09032] Incremental R2 (full-covars): 0.07536 PGS R2 (no covariates): 0.0774 [0.07102, 0.08377] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005488 | PGS001509 (GBE_INI25032) |
PSS005324| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (L) | — | — | R²: 0.10933 [0.09629, 0.12237] Incremental R2 (full-covars): 0.0589 PGS R2 (no covariates): 0.07995 [0.06844, 0.09147] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005489 | PGS001509 (GBE_INI25032) |
PSS005325| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (L) | — | — | R²: 0.0947 [0.0905, 0.09891] Incremental R2 (full-covars): 0.08949 PGS R2 (no covariates): 0.09078 [0.08664, 0.09491] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005490 | PGS001510 (GBE_INI25033) |
PSS005326| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (R) | — | — | R²: 0.06927 [0.05737, 0.08118] Incremental R2 (full-covars): 0.00828 PGS R2 (no covariates): 0.01326 [0.00774, 0.01879] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005491 | PGS001510 (GBE_INI25033) |
PSS005327| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (R) | — | — | R²: 0.09634 [0.06976, 0.12292] Incremental R2 (full-covars): 0.02599 PGS R2 (no covariates): 0.02687 [0.01176, 0.04199] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005492 | PGS001510 (GBE_INI25033) |
PSS005328| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (R) | — | — | R²: 0.07358 [0.06734, 0.07982] Incremental R2 (full-covars): 0.06299 PGS R2 (no covariates): 0.06407 [0.05819, 0.06996] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005493 | PGS001510 (GBE_INI25033) |
PSS005329| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (R) | — | — | R²: 0.11455 [0.10128, 0.12782] Incremental R2 (full-covars): 0.07018 PGS R2 (no covariates): 0.07947 [0.06798, 0.09096] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005494 | PGS001510 (GBE_INI25033) |
PSS005330| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in pallidum (R) | — | — | R²: 0.09855 [0.09428, 0.10282] Incremental R2 (full-covars): 0.09305 PGS R2 (no covariates): 0.09352 [0.08933, 0.0977] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005475 | PGS001511 (GBE_INI25030) |
PSS005311| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (L) | — | — | R²: 0.19747 [0.18013, 0.2148] Incremental R2 (full-covars): 0.03825 PGS R2 (no covariates): 0.03695 [0.02795, 0.04595] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005476 | PGS001511 (GBE_INI25030) |
PSS005312| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (L) | — | — | R²: 0.22571 [0.19085, 0.26057] Incremental R2 (full-covars): 0.04319 PGS R2 (no covariates): 0.04671 [0.02719, 0.06624] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005477 | PGS001511 (GBE_INI25030) |
PSS005313| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (L) | — | — | R²: 0.12207 [0.11445, 0.12969] Incremental R2 (full-covars): 0.07874 PGS R2 (no covariates): 0.084 [0.07741, 0.0906] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005478 | PGS001511 (GBE_INI25030) |
PSS005314| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (L) | — | — | R²: 0.20001 [0.18417, 0.21585] Incremental R2 (full-covars): 0.09883 PGS R2 (no covariates): 0.10795 [0.09497, 0.12092] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005479 | PGS001511 (GBE_INI25030) |
PSS005315| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (L) | — | — | R²: 0.12986 [0.12513, 0.1346] Incremental R2 (full-covars): 0.0883 PGS R2 (no covariates): 0.09005 [0.08593, 0.09417] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005480 | PGS001512 (GBE_INI25031) |
PSS005316| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (R) | — | — | R²: 0.13759 [0.12204, 0.15313] Incremental R2 (full-covars): 0.02988 PGS R2 (no covariates): 0.03378 [0.02514, 0.04241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005481 | PGS001512 (GBE_INI25031) |
PSS005317| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (R) | — | — | R²: 0.20426 [0.17017, 0.23834] Incremental R2 (full-covars): 0.05347 PGS R2 (no covariates): 0.08284 [0.05782, 0.10785] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005482 | PGS001512 (GBE_INI25031) |
PSS005318| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (R) | — | — | R²: 0.11391 [0.10648, 0.12134] Incremental R2 (full-covars): 0.07841 PGS R2 (no covariates): 0.08246 [0.07592, 0.08901] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005483 | PGS001512 (GBE_INI25031) |
PSS005319| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (R) | — | — | R²: 0.1775 [0.16216, 0.19285] Incremental R2 (full-covars): 0.04665 PGS R2 (no covariates): 0.0559 [0.04601, 0.06578] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005484 | PGS001512 (GBE_INI25031) |
PSS005320| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in putamen (R) | — | — | R²: 0.13319 [0.12841, 0.13797] Incremental R2 (full-covars): 0.09891 PGS R2 (no covariates): 0.09972 [0.09543, 0.10401] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005460 | PGS001513 (GBE_INI25027) |
PSS005296| African Ancestry| 177 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in thalamus (R) | — | — | R²: 0.0929 [0.07946, 0.10634] Incremental R2 (full-covars): -0.01139 PGS R2 (no covariates): 0.0073 [0.00318, 0.01143] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005461 | PGS001513 (GBE_INI25027) |
PSS005297| East Asian Ancestry| 103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in thalamus (R) | — | — | R²: 0.109 [0.08112, 0.13688] Incremental R2 (full-covars): 0.01457 PGS R2 (no covariates): 0.03862 [0.02071, 0.05652] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005462 | PGS001513 (GBE_INI25027) |
PSS005298| European Ancestry| 1,543 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in thalamus (R) | — | — | R²: 0.03901 [0.03429, 0.04372] Incremental R2 (full-covars): 0.00261 PGS R2 (no covariates): 0.00371 [0.00221, 0.00522] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005463 | PGS001513 (GBE_INI25027) |
PSS005299| South Asian Ancestry| 293 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in thalamus (R) | — | — | R²: 0.06435 [0.05384, 0.07486] Incremental R2 (full-covars): 0.01017 PGS R2 (no covariates): 0.01703 [0.01135, 0.0227] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005464 | PGS001513 (GBE_INI25027) |
PSS005300| European Ancestry| 4,942 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Median T2star in thalamus (R) | — | — | R²: 0.02507 [0.02274, 0.0274] Incremental R2 (full-covars): 0.00404 PGS R2 (no covariates): 0.00415 [0.00318, 0.00512] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006600 | PGS001534 (GBE_INI25781) |
PSS006436| African Ancestry| 189 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Total vol. of white matter hyperintensities (from T1 and T2 FLAIR images) | — | — | R²: 0.19119 [0.174, 0.20838] Incremental R2 (full-covars): -0.0148 PGS R2 (no covariates): 0.00168 [-0.00031, 0.00366] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006601 | PGS001534 (GBE_INI25781) |
PSS006437| East Asian Ancestry| 109 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Total vol. of white matter hyperintensities (from T1 and T2 FLAIR images) | — | — | R²: 0.1477 [0.11666, 0.17874] Incremental R2 (full-covars): -0.00848 PGS R2 (no covariates): 0.00254 [-0.00222, 0.0073] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006602 | PGS001534 (GBE_INI25781) |
PSS006438| European Ancestry| 1,682 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Total vol. of white matter hyperintensities (from T1 and T2 FLAIR images) | — | — | R²: 0.16859 [0.16011, 0.17706] Incremental R2 (full-covars): 0.00942 PGS R2 (no covariates): 0.00723 [0.00514, 0.00933] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006603 | PGS001534 (GBE_INI25781) |
PSS006439| South Asian Ancestry| 306 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Total vol. of white matter hyperintensities (from T1 and T2 FLAIR images) | — | — | R²: 0.14064 [0.12637, 0.15491] Incremental R2 (full-covars): 0.0123 PGS R2 (no covariates): 0.01743 [0.01168, 0.02317] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006604 | PGS001534 (GBE_INI25781) |
PSS006440| European Ancestry| 5,254 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Total vol. of white matter hyperintensities (from T1 and T2 FLAIR images) | — | — | R²: 0.12904 [0.12431, 0.13376] Incremental R2 (full-covars): 0.00365 PGS R2 (no covariates): 0.00373 [0.00281, 0.00465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005445 | PGS001537 (GBE_INI25023) |
PSS005281| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.22724 [0.20933, 0.24514] Incremental R2 (full-covars): 0.00582 PGS R2 (no covariates): 0.0189 [0.01234, 0.02546] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005446 | PGS001537 (GBE_INI25023) |
PSS005282| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.1475 [0.11648, 0.17853] Incremental R2 (full-covars): -0.00779 PGS R2 (no covariates): 0.00255 [-0.00222, 0.00733] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005447 | PGS001537 (GBE_INI25023) |
PSS005283| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.2189 [0.20982, 0.22797] Incremental R2 (full-covars): 0.00532 PGS R2 (no covariates): 0.00656 [0.00456, 0.00856] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005448 | PGS001537 (GBE_INI25023) |
PSS005284| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.26307 [0.24633, 0.2798] Incremental R2 (full-covars): -0.00549 PGS R2 (no covariates): 0.0 [-0.00008, 0.00008] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005449 | PGS001537 (GBE_INI25023) |
PSS005285| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.15316 [0.14816, 0.15817] Incremental R2 (full-covars): 0.00598 PGS R2 (no covariates): 0.00546 [0.00435, 0.00657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005450 | PGS001538 (GBE_INI25024) |
PSS005286| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.29382 [0.27521, 0.31242] Incremental R2 (full-covars): -0.00191 PGS R2 (no covariates): 0.00137 [-0.00043, 0.00316] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005451 | PGS001538 (GBE_INI25024) |
PSS005287| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.18368 [0.15052, 0.21683] Incremental R2 (full-covars): 0.008 PGS R2 (no covariates): 0.00588 [-0.00134, 0.0131] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005452 | PGS001538 (GBE_INI25024) |
PSS005288| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.19982 [0.19094, 0.2087] Incremental R2 (full-covars): 0.0024 PGS R2 (no covariates): 0.00717 [0.00508, 0.00926] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005453 | PGS001538 (GBE_INI25024) |
PSS005289| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.30769 [0.29069, 0.3247] Incremental R2 (full-covars): 0.00789 PGS R2 (no covariates): 0.00434 [0.00143, 0.00724] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005454 | PGS001538 (GBE_INI25024) |
PSS005290| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.17591 [0.17069, 0.18113] Incremental R2 (full-covars): 0.0067 PGS R2 (no covariates): 0.0065 [0.00529, 0.0077] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005455 | PGS001539 (GBE_INI25025) |
PSS005291| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain stem + 4th ventricle | — | — | R²: 0.2926 [0.274, 0.31119] Incremental R2 (full-covars): 0.01256 PGS R2 (no covariates): 0.00642 [0.00255, 0.01029] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005456 | PGS001539 (GBE_INI25025) |
PSS005292| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain stem + 4th ventricle | — | — | R²: 0.19093 [0.15743, 0.22443] Incremental R2 (full-covars): 0.01554 PGS R2 (no covariates): 0.01543 [0.00384, 0.02701] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005457 | PGS001539 (GBE_INI25025) |
PSS005293| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain stem + 4th ventricle | — | — | R²: 0.25836 [0.249, 0.26772] Incremental R2 (full-covars): 0.0229 PGS R2 (no covariates): 0.02689 [0.02293, 0.03085] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005458 | PGS001539 (GBE_INI25025) |
PSS005294| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain stem + 4th ventricle | — | — | R²: 0.29818 [0.28121, 0.31514] Incremental R2 (full-covars): 0.02021 PGS R2 (no covariates): 0.0085 [0.00446, 0.01255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005459 | PGS001539 (GBE_INI25025) |
PSS005295| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain stem + 4th ventricle | — | — | R²: 0.23487 [0.22927, 0.24047] Incremental R2 (full-covars): 0.02596 PGS R2 (no covariates): 0.02874 [0.02625, 0.03122] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005395 | PGS001540 (GBE_INI25010) |
PSS005231| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.40405 [0.38564, 0.42247] Incremental R2 (full-covars): -0.0292 PGS R2 (no covariates): 0.02189 [0.01486, 0.02893] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005396 | PGS001540 (GBE_INI25010) |
PSS005232| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.38326 [0.34708, 0.41945] Incremental R2 (full-covars): -0.00215 PGS R2 (no covariates): 0.00409 [-0.00195, 0.01013] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005397 | PGS001540 (GBE_INI25010) |
PSS005233| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.45229 [0.44314, 0.46144] Incremental R2 (full-covars): 0.02333 PGS R2 (no covariates): 0.02441 [0.02062, 0.02819] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005398 | PGS001540 (GBE_INI25010) |
PSS005234| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.45569 [0.43942, 0.47196] Incremental R2 (full-covars): 0.03057 PGS R2 (no covariates): 0.03762 [0.02935, 0.04588] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005399 | PGS001540 (GBE_INI25010) |
PSS005235| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter | — | — | R²: 0.385 [0.37924, 0.39076] Incremental R2 (full-covars): 0.03029 PGS R2 (no covariates): 0.03704 [0.03424, 0.03984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005390 | PGS001541 (GBE_INI25009) |
PSS005226| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter (normalised for head size) | — | — | R²: 0.2789 [0.26039, 0.29741] Incremental R2 (full-covars): 0.00112 PGS R2 (no covariates): 0.00104 [-0.00053, 0.0026] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005391 | PGS001541 (GBE_INI25009) |
PSS005227| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter (normalised for head size) | — | — | R²: 0.45936 [0.42463, 0.49408] Incremental R2 (full-covars): 0.03238 PGS R2 (no covariates): 0.01529 [0.00375, 0.02683] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005392 | PGS001541 (GBE_INI25009) |
PSS005228| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter (normalised for head size) | — | — | R²: 0.38285 [0.37336, 0.39233] Incremental R2 (full-covars): 0.01799 PGS R2 (no covariates): 0.02279 [0.01913, 0.02645] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005393 | PGS001541 (GBE_INI25009) |
PSS005229| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter (normalised for head size) | — | — | R²: 0.3165 [0.29947, 0.33353] Incremental R2 (full-covars): -0.00812 PGS R2 (no covariates): 0.00584 [0.00247, 0.0092] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005394 | PGS001541 (GBE_INI25009) |
PSS005230| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of brain, grey+white matter (normalised for head size) | — | — | R²: 0.35045 [0.34464, 0.35625] Incremental R2 (full-covars): 0.02177 PGS R2 (no covariates): 0.01913 [0.01708, 0.02118] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005414 | PGS001542 (GBE_INI25013) |
PSS005250| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (L) | — | — | R²: 0.14115 [0.13628, 0.14602] Incremental R2 (full-covars): 0.02462 PGS R2 (no covariates): 0.02936 [0.02685, 0.03187] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005410 | PGS001542 (GBE_INI25013) |
PSS005246| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (L) | — | — | R²: 0.23943 [0.22134, 0.25752] Incremental R2 (full-covars): 0.0134 PGS R2 (no covariates): 0.00696 [0.00293, 0.01099] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005411 | PGS001542 (GBE_INI25013) |
PSS005247| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (L) | — | — | R²: 0.13126 [0.10143, 0.16108] Incremental R2 (full-covars): -0.03076 PGS R2 (no covariates): 0.00028 [-0.00131, 0.00188] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005412 | PGS001542 (GBE_INI25013) |
PSS005248| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (L) | — | — | R²: 0.1889 [0.18014, 0.19765] Incremental R2 (full-covars): 0.03091 PGS R2 (no covariates): 0.03563 [0.03111, 0.04015] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005413 | PGS001542 (GBE_INI25013) |
PSS005249| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (L) | — | — | R²: 0.2434 [0.22687, 0.25993] Incremental R2 (full-covars): 0.01478 PGS R2 (no covariates): 0.00711 [0.0034, 0.01081] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005415 | PGS001543 (GBE_INI25014) |
PSS005251| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (R) | — | — | R²: 0.22602 [0.20813, 0.24391] Incremental R2 (full-covars): 0.00503 PGS R2 (no covariates): 0.00505 [0.00162, 0.00849] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005416 | PGS001543 (GBE_INI25014) |
PSS005252| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (R) | — | — | R²: 0.15452 [0.12303, 0.18602] Incremental R2 (full-covars): -0.02257 PGS R2 (no covariates): 0.00857 [-0.00013, 0.01726] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005417 | PGS001543 (GBE_INI25014) |
PSS005253| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (R) | — | — | R²: 0.19467 [0.18584, 0.20349] Incremental R2 (full-covars): 0.04031 PGS R2 (no covariates): 0.04548 [0.04042, 0.05053] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005418 | PGS001543 (GBE_INI25014) |
PSS005254| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (R) | — | — | R²: 0.24337 [0.22685, 0.2599] Incremental R2 (full-covars): 0.01477 PGS R2 (no covariates): 0.00986 [0.00551, 0.01421] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005419 | PGS001543 (GBE_INI25014) |
PSS005255| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of caudate (R) | — | — | R²: 0.14561 [0.14069, 0.15053] Incremental R2 (full-covars): 0.03457 PGS R2 (no covariates): 0.03729 [0.03448, 0.04009] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005375 | PGS001544 (GBE_INI25006) |
PSS005211| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter | — | — | R²: 0.33678 [0.31807, 0.35549] Incremental R2 (full-covars): -0.02911 PGS R2 (no covariates): 0.00969 [0.00495, 0.01443] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005376 | PGS001544 (GBE_INI25006) |
PSS005212| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter | — | — | R²: 0.39262 [0.35655, 0.42869] Incremental R2 (full-covars): 0.0063 PGS R2 (no covariates): 0.00081 [-0.00188, 0.0035] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005377 | PGS001544 (GBE_INI25006) |
PSS005213| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter | — | — | R²: 0.43321 [0.42395, 0.44248] Incremental R2 (full-covars): 0.0159 PGS R2 (no covariates): 0.01587 [0.01279, 0.01895] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005378 | PGS001544 (GBE_INI25006) |
PSS005214| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter | — | — | R²: 0.43832 [0.42185, 0.45478] Incremental R2 (full-covars): 0.01575 PGS R2 (no covariates): 0.01738 [0.01164, 0.02311] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005379 | PGS001544 (GBE_INI25006) |
PSS005215| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter | — | — | R²: 0.36238 [0.35658, 0.36817] Incremental R2 (full-covars): 0.02421 PGS R2 (no covariates): 0.02584 [0.02348, 0.0282] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005370 | PGS001545 (GBE_INI25005) |
PSS005206| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.27618 [0.25769, 0.29467] Incremental R2 (full-covars): -0.00164 PGS R2 (no covariates): 0.00231 [-0.00002, 0.00464] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005371 | PGS001545 (GBE_INI25005) |
PSS005207| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.49432 [0.46062, 0.52801] Incremental R2 (full-covars): 0.01842 PGS R2 (no covariates): 0.00192 [-0.00222, 0.00606] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005372 | PGS001545 (GBE_INI25005) |
PSS005208| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.45816 [0.44905, 0.46727] Incremental R2 (full-covars): 0.00745 PGS R2 (no covariates): 0.00623 [0.00428, 0.00818] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005373 | PGS001545 (GBE_INI25005) |
PSS005209| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.40881 [0.39207, 0.42554] Incremental R2 (full-covars): 0.0086 PGS R2 (no covariates): 0.01079 [0.00624, 0.01533] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005374 | PGS001545 (GBE_INI25005) |
PSS005210| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter (normalised for head size) | — | — | R²: 0.44852 [0.44295, 0.4541] Incremental R2 (full-covars): 0.00935 PGS R2 (no covariates): 0.00989 [0.0084, 0.01137] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006880 | PGS001546 (GBE_INI25888) |
PSS006726| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.23372 [0.21572, 0.25173] Incremental R2 (full-covars): -0.00429 PGS R2 (no covariates): 0.00136 [-0.00043, 0.00315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006881 | PGS001546 (GBE_INI25888) |
PSS006727| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.23906 [0.2038, 0.27431] Incremental R2 (full-covars): -0.0066 PGS R2 (no covariates): 0.00025 [-0.00124, 0.00174] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006882 | PGS001546 (GBE_INI25888) |
PSS006728| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.26999 [0.26057, 0.27941] Incremental R2 (full-covars): 0.00564 PGS R2 (no covariates): 0.00876 [0.00645, 0.01106] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006883 | PGS001546 (GBE_INI25888) |
PSS006729| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.32251 [0.30548, 0.33955] Incremental R2 (full-covars): 0.00363 PGS R2 (no covariates): 0.00861 [0.00453, 0.01268] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006884 | PGS001546 (GBE_INI25888) |
PSS006730| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.21374 [0.20825, 0.21922] Incremental R2 (full-covars): 0.00458 PGS R2 (no covariates): 0.00876 [0.00736, 0.01016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006895 | PGS001547 (GBE_INI25892) |
PSS006741| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.24269 [0.22456, 0.26083] Incremental R2 (full-covars): 0.00405 PGS R2 (no covariates): 0.00811 [0.00377, 0.01245] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006896 | PGS001547 (GBE_INI25892) |
PSS006742| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.1967 [0.16294, 0.23046] Incremental R2 (full-covars): 0.00075 PGS R2 (no covariates): 0.0027 [-0.00221, 0.00761] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006897 | PGS001547 (GBE_INI25892) |
PSS006743| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.21887 [0.2098, 0.22795] Incremental R2 (full-covars): 0.01099 PGS R2 (no covariates): 0.01607 [0.01297, 0.01917] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006898 | PGS001547 (GBE_INI25892) |
PSS006744| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.24109 [0.22459, 0.25759] Incremental R2 (full-covars): 0.01533 PGS R2 (no covariates): 0.01921 [0.01319, 0.02522] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006899 | PGS001547 (GBE_INI25892) |
PSS006745| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.13674 [0.13192, 0.14156] Incremental R2 (full-covars): 0.00927 PGS R2 (no covariates): 0.01067 [0.00913, 0.01221] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006800 | PGS001548 (GBE_INI25864) |
PSS006641| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (L) | — | — | R²: 0.21867 [0.20092, 0.23643] Incremental R2 (full-covars): 7e-05 PGS R2 (no covariates): 0.00126 [-0.00046, 0.00298] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006801 | PGS001548 (GBE_INI25864) |
PSS006642| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (L) | — | — | R²: 0.29422 [0.25794, 0.3305] Incremental R2 (full-covars): -0.00065 PGS R2 (no covariates): 0.00035 [-0.00143, 0.00213] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006802 | PGS001548 (GBE_INI25864) |
PSS006643| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (L) | — | — | R²: 0.23182 [0.22263, 0.241] Incremental R2 (full-covars): 0.00311 PGS R2 (no covariates): 0.00604 [0.00412, 0.00796] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006803 | PGS001548 (GBE_INI25864) |
PSS006644| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (L) | — | — | R²: 0.25225 [0.23562, 0.26888] Incremental R2 (full-covars): 0.00455 PGS R2 (no covariates): 0.00596 [0.00256, 0.00936] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006804 | PGS001548 (GBE_INI25864) |
PSS006645| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (L) | — | — | R²: 0.18545 [0.18015, 0.19074] Incremental R2 (full-covars): 0.0055 PGS R2 (no covariates): 0.00593 [0.00477, 0.00708] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006805 | PGS001549 (GBE_INI25865) |
PSS006646| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (R) | — | — | R²: 0.18868 [0.17155, 0.20581] Incremental R2 (full-covars): -0.00776 PGS R2 (no covariates): 0.00789 [0.00361, 0.01217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006806 | PGS001549 (GBE_INI25865) |
PSS006647| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (R) | — | — | R²: 0.15385 [0.1224, 0.1853] Incremental R2 (full-covars): -0.00874 PGS R2 (no covariates): 0.00056 [-0.00168, 0.00279] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006807 | PGS001549 (GBE_INI25865) |
PSS006648| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (R) | — | — | R²: 0.22707 [0.21792, 0.23621] Incremental R2 (full-covars): 0.01016 PGS R2 (no covariates): 0.00948 [0.00708, 0.01187] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006808 | PGS001549 (GBE_INI25865) |
PSS006649| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (R) | — | — | R²: 0.27125 [0.25445, 0.28806] Incremental R2 (full-covars): 0.00997 PGS R2 (no covariates): 0.00883 [0.0047, 0.01295] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006809 | PGS001549 (GBE_INI25865) |
PSS006650| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Central Opercular Cortex (R) | — | — | R²: 0.15924 [0.15417, 0.1643] Incremental R2 (full-covars): 0.01111 PGS R2 (no covariates): 0.01037 [0.00884, 0.01189] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006715 | PGS001550 (GBE_INI25838) |
PSS006556| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (L) | — | — | R²: 0.17466 [0.15789, 0.19142] Incremental R2 (full-covars): -0.00171 PGS R2 (no covariates): 0.00174 [-0.00028, 0.00377] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006716 | PGS001550 (GBE_INI25838) |
PSS006557| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (L) | — | — | R²: 0.15051 [0.11928, 0.18174] Incremental R2 (full-covars): 0.02123 PGS R2 (no covariates): 0.03461 [0.01759, 0.05164] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006717 | PGS001550 (GBE_INI25838) |
PSS006558| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (L) | — | — | R²: 0.08821 [0.08148, 0.09493] Incremental R2 (full-covars): 0.00893 PGS R2 (no covariates): 0.00958 [0.00718, 0.01199] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006718 | PGS001550 (GBE_INI25838) |
PSS006559| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (L) | — | — | R²: 0.0982 [0.08569, 0.11071] Incremental R2 (full-covars): 0.01171 PGS R2 (no covariates): 0.01236 [0.0075, 0.01722] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006719 | PGS001550 (GBE_INI25838) |
PSS006560| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (L) | — | — | R²: 0.05852 [0.05508, 0.06196] Incremental R2 (full-covars): 0.00785 PGS R2 (no covariates): 0.00827 [0.00691, 0.00963] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006720 | PGS001551 (GBE_INI25839) |
PSS006561| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (R) | — | — | R²: 0.14634 [0.13046, 0.16221] Incremental R2 (full-covars): 0.00136 PGS R2 (no covariates): 0.00012 [-0.00041, 0.00066] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006721 | PGS001551 (GBE_INI25839) |
PSS006562| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (R) | — | — | R²: 0.19373 [0.1601, 0.22736] Incremental R2 (full-covars): 0.00191 PGS R2 (no covariates): 0.00087 [-0.00192, 0.00367] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006722 | PGS001551 (GBE_INI25839) |
PSS006563| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (R) | — | — | R²: 0.0976 [0.0906, 0.10461] Incremental R2 (full-covars): 0.00518 PGS R2 (no covariates): 0.00596 [0.00405, 0.00786] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006723 | PGS001551 (GBE_INI25839) |
PSS006564| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (R) | — | — | R²: 0.10966 [0.0966, 0.12271] Incremental R2 (full-covars): 0.00574 PGS R2 (no covariates): 0.00608 [0.00265, 0.00952] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006724 | PGS001551 (GBE_INI25839) |
PSS006565| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, anterior division (R) | — | — | R²: 0.06146 [0.05795, 0.06497] Incremental R2 (full-covars): 0.00632 PGS R2 (no covariates): 0.00672 [0.00549, 0.00795] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006725 | PGS001552 (GBE_INI25841) |
PSS006566| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, posterior division (R) | — | — | R²: 0.26983 [0.25139, 0.28826] Incremental R2 (full-covars): 0.01189 PGS R2 (no covariates): 0.00246 [0.00005, 0.00486] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006726 | PGS001552 (GBE_INI25841) |
PSS006567| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, posterior division (R) | — | — | R²: 0.24169 [0.20636, 0.27702] Incremental R2 (full-covars): 0.02443 PGS R2 (no covariates): 0.0209 [0.00749, 0.03431] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006727 | PGS001552 (GBE_INI25841) |
PSS006568| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, posterior division (R) | — | — | R²: 0.20548 [0.19653, 0.21442] Incremental R2 (full-covars): 0.00106 PGS R2 (no covariates): 0.00487 [0.00315, 0.0066] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006728 | PGS001552 (GBE_INI25841) |
PSS006569| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, posterior division (R) | — | — | R²: 0.24091 [0.22442, 0.25741] Incremental R2 (full-covars): 0.00897 PGS R2 (no covariates): 0.01554 [0.01011, 0.02098] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006729 | PGS001552 (GBE_INI25841) |
PSS006570| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cingulate Gyrus, posterior division (R) | — | — | R²: 0.18847 [0.18315, 0.19379] Incremental R2 (full-covars): 0.00963 PGS R2 (no covariates): 0.01016 [0.00865, 0.01166] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006935 | PGS001553 (GBE_INI25902) |
PSS006781| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus I Cerebellum (R) | — | — | R²: 0.08902 [0.07581, 0.10223] Incremental R2 (full-covars): -0.04691 PGS R2 (no covariates): 0.01964 [0.01296, 0.02632] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006936 | PGS001553 (GBE_INI25902) |
PSS006782| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus I Cerebellum (R) | — | — | R²: 0.13064 [0.10086, 0.16041] Incremental R2 (full-covars): -0.00239 PGS R2 (no covariates): 0.01555 [0.00391, 0.02718] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006937 | PGS001553 (GBE_INI25902) |
PSS006783| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus I Cerebellum (R) | — | — | R²: 0.2468 [0.2375, 0.25609] Incremental R2 (full-covars): 0.04314 PGS R2 (no covariates): 0.04707 [0.04194, 0.05221] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006938 | PGS001553 (GBE_INI25902) |
PSS006784| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus I Cerebellum (R) | — | — | R²: 0.23911 [0.22264, 0.25559] Incremental R2 (full-covars): 0.00134 PGS R2 (no covariates): 0.00988 [0.00552, 0.01424] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006939 | PGS001553 (GBE_INI25902) |
PSS006785| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus I Cerebellum (R) | — | — | R²: 0.19792 [0.19254, 0.20331] Incremental R2 (full-covars): 0.04351 PGS R2 (no covariates): 0.04429 [0.04125, 0.04733] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006940 | PGS001554 (GBE_INI25903) |
PSS006786| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (L) | — | — | R²: 0.16847 [0.15188, 0.18506] Incremental R2 (full-covars): -0.01966 PGS R2 (no covariates): 0.00026 [-0.00052, 0.00104] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006941 | PGS001554 (GBE_INI25903) |
PSS006787| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (L) | — | — | R²: 0.14551 [0.11462, 0.1764] Incremental R2 (full-covars): 0.01293 PGS R2 (no covariates): 0.03466 [0.01763, 0.05169] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006942 | PGS001554 (GBE_INI25903) |
PSS006788| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (L) | — | — | R²: 0.16413 [0.15572, 0.17254] Incremental R2 (full-covars): 0.03127 PGS R2 (no covariates): 0.03376 [0.02935, 0.03817] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006943 | PGS001554 (GBE_INI25903) |
PSS006789| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (L) | — | — | R²: 0.15761 [0.1428, 0.17242] Incremental R2 (full-covars): 0.00731 PGS R2 (no covariates): 0.0161 [0.01057, 0.02163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006944 | PGS001554 (GBE_INI25903) |
PSS006790| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (L) | — | — | R²: 0.13368 [0.1289, 0.13846] Incremental R2 (full-covars): 0.03458 PGS R2 (no covariates): 0.03609 [0.03333, 0.03885] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006950 | PGS001555 (GBE_INI25905) |
PSS006796| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (R) | — | — | R²: 0.15846 [0.14217, 0.17474] Incremental R2 (full-covars): 0.00868 PGS R2 (no covariates): 0.0142 [0.00849, 0.01991] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006951 | PGS001555 (GBE_INI25905) |
PSS006797| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (R) | — | — | R²: 0.22656 [0.19167, 0.26145] Incremental R2 (full-covars): 0.04175 PGS R2 (no covariates): 0.04516 [0.02593, 0.06438] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006952 | PGS001555 (GBE_INI25905) |
PSS006798| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (R) | — | — | R²: 0.16723 [0.15877, 0.17568] Incremental R2 (full-covars): 0.04326 PGS R2 (no covariates): 0.0465 [0.04139, 0.0516] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006953 | PGS001555 (GBE_INI25905) |
PSS006799| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (R) | — | — | R²: 0.17912 [0.16374, 0.19451] Incremental R2 (full-covars): -0.00531 PGS R2 (no covariates): 0.01175 [0.00701, 0.01649] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006954 | PGS001555 (GBE_INI25905) |
PSS006800| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Crus II Cerebellum (R) | — | — | R²: 0.14632 [0.14139, 0.15125] Incremental R2 (full-covars): 0.039 PGS R2 (no covariates): 0.04037 [0.03746, 0.04328] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006735 | PGS001556 (GBE_INI25845) |
PSS006576| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.15176 [0.1357, 0.16782] Incremental R2 (full-covars): -0.01191 PGS R2 (no covariates): 0.00423 [0.00108, 0.00738] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006736 | PGS001556 (GBE_INI25845) |
PSS006577| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.16893 [0.13656, 0.2013] Incremental R2 (full-covars): -0.03962 PGS R2 (no covariates): 0.02829 [0.0128, 0.04378] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006737 | PGS001556 (GBE_INI25845) |
PSS006578| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.17399 [0.16544, 0.18255] Incremental R2 (full-covars): 0.00623 PGS R2 (no covariates): 0.00863 [0.00635, 0.01092] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006738 | PGS001556 (GBE_INI25845) |
PSS006579| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.16401 [0.14902, 0.179] Incremental R2 (full-covars): 0.01645 PGS R2 (no covariates): 0.00899 [0.00483, 0.01315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006739 | PGS001556 (GBE_INI25845) |
PSS006580| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Cuneal Cortex (R) | — | — | R²: 0.11709 [0.11253, 0.12165] Incremental R2 (full-covars): 0.0091 PGS R2 (no covariates): 0.00941 [0.00796, 0.01086] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006795 | PGS001557 (GBE_INI25862) |
PSS006636| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Operculum Cortex (L) | — | — | R²: 0.15459 [0.13843, 0.17075] Incremental R2 (full-covars): -0.01561 PGS R2 (no covariates): 1e-05 [-0.00011, 0.00012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006796 | PGS001557 (GBE_INI25862) |
PSS006637| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Operculum Cortex (L) | — | — | R²: 0.28095 [0.24483, 0.31706] Incremental R2 (full-covars): -0.01207 PGS R2 (no covariates): 0.00579 [-0.00138, 0.01297] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006797 | PGS001557 (GBE_INI25862) |
PSS006638| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Operculum Cortex (L) | — | — | R²: 0.16064 [0.15229, 0.169] Incremental R2 (full-covars): -0.00317 PGS R2 (no covariates): 0.00128 [0.00039, 0.00217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006798 | PGS001557 (GBE_INI25862) |
PSS006639| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Operculum Cortex (L) | — | — | R²: 0.1408 [0.12653, 0.15508] Incremental R2 (full-covars): -0.01897 PGS R2 (no covariates): 0.00357 [0.00093, 0.0062] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006799 | PGS001557 (GBE_INI25862) |
PSS006640| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Operculum Cortex (L) | — | — | R²: 0.12888 [0.12416, 0.1336] Incremental R2 (full-covars): 0.00607 PGS R2 (no covariates): 0.00579 [0.00465, 0.00693] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006740 | PGS001558 (GBE_INI25846) |
PSS006581| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (L) | — | — | R²: 0.33978 [0.32107, 0.35848] Incremental R2 (full-covars): -0.00152 PGS R2 (no covariates): 0.00205 [-0.00015, 0.00424] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006741 | PGS001558 (GBE_INI25846) |
PSS006582| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (L) | — | — | R²: 0.32059 [0.28413, 0.35704] Incremental R2 (full-covars): 0.02372 PGS R2 (no covariates): 0.0595 [0.03776, 0.08124] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006742 | PGS001558 (GBE_INI25846) |
PSS006583| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (L) | — | — | R²: 0.26825 [0.25884, 0.27767] Incremental R2 (full-covars): 0.02032 PGS R2 (no covariates): 0.02801 [0.02397, 0.03205] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006743 | PGS001558 (GBE_INI25846) |
PSS006584| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (L) | — | — | R²: 0.28022 [0.26335, 0.29709] Incremental R2 (full-covars): 0.00091 PGS R2 (no covariates): 0.00475 [0.00172, 0.00779] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006744 | PGS001558 (GBE_INI25846) |
PSS006585| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (L) | — | — | R²: 0.23603 [0.23043, 0.24164] Incremental R2 (full-covars): 0.01116 PGS R2 (no covariates): 0.01128 [0.00969, 0.01286] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006745 | PGS001559 (GBE_INI25847) |
PSS006586| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (R) | — | — | R²: 0.28826 [0.26969, 0.30683] Incremental R2 (full-covars): -0.00793 PGS R2 (no covariates): 0.00732 [0.00319, 0.01145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006746 | PGS001559 (GBE_INI25847) |
PSS006587| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (R) | — | — | R²: 0.30841 [0.27201, 0.3448] Incremental R2 (full-covars): 0.02297 PGS R2 (no covariates): 0.06926 [0.04605, 0.09248] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006747 | PGS001559 (GBE_INI25847) |
PSS006588| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (R) | — | — | R²: 0.27058 [0.26116, 0.28] Incremental R2 (full-covars): 0.01256 PGS R2 (no covariates): 0.01503 [0.01203, 0.01803] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006748 | PGS001559 (GBE_INI25847) |
PSS006589| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (R) | — | — | R²: 0.25996 [0.24325, 0.27666] Incremental R2 (full-covars): 0.0003 PGS R2 (no covariates): 4e-05 [-0.00025, 0.00033] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006749 | PGS001559 (GBE_INI25847) |
PSS006590| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Orbital Cortex (R) | — | — | R²: 0.22132 [0.21579, 0.22685] Incremental R2 (full-covars): 0.00973 PGS R2 (no covariates): 0.0094 [0.00795, 0.01085] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006605 | PGS001560 (GBE_INI25782) |
PSS006441| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Pole (L) | — | — | R²: 0.24351 [0.22537, 0.26166] Incremental R2 (full-covars): -0.01068 PGS R2 (no covariates): 7e-05 [-0.00035, 0.00049] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006606 | PGS001560 (GBE_INI25782) |
PSS006442| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Pole (L) | — | — | R²: 0.23597 [0.2008, 0.27114] Incremental R2 (full-covars): -0.04382 PGS R2 (no covariates): 0.01618 [0.00432, 0.02803] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006607 | PGS001560 (GBE_INI25782) |
PSS006443| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Pole (L) | — | — | R²: 0.29739 [0.28787, 0.3069] Incremental R2 (full-covars): 0.00876 PGS R2 (no covariates): 0.00981 [0.00737, 0.01225] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006608 | PGS001560 (GBE_INI25782) |
PSS006444| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Pole (L) | — | — | R²: 0.32286 [0.30582, 0.3399] Incremental R2 (full-covars): 0.0404 PGS R2 (no covariates): 0.03482 [0.02685, 0.0428] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006609 | PGS001560 (GBE_INI25782) |
PSS006445| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Frontal Pole (L) | — | — | R²: 0.23796 [0.23235, 0.24357] Incremental R2 (full-covars): 0.01289 PGS R2 (no covariates): 0.01586 [0.01399, 0.01773] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006820 | PGS001561 (GBE_INI25870) |
PSS006666| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.17873 [0.16186, 0.19561] Incremental R2 (full-covars): -0.03706 PGS R2 (no covariates): 0.00747 [0.0033, 0.01165] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006821 | PGS001561 (GBE_INI25870) |
PSS006667| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.25132 [0.21575, 0.28689] Incremental R2 (full-covars): 0.01467 PGS R2 (no covariates): 0.00666 [-0.00102, 0.01434] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006822 | PGS001561 (GBE_INI25870) |
PSS006668| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.21558 [0.20654, 0.22463] Incremental R2 (full-covars): 0.00414 PGS R2 (no covariates): 0.00729 [0.00519, 0.0094] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006823 | PGS001561 (GBE_INI25870) |
PSS006669| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.23724 [0.2208, 0.25369] Incremental R2 (full-covars): 0.02533 PGS R2 (no covariates): 0.01841 [0.01251, 0.02431] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006824 | PGS001561 (GBE_INI25870) |
PSS006670| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.18505 [0.17976, 0.19034] Incremental R2 (full-covars): 0.00874 PGS R2 (no covariates): 0.0109 [0.00934, 0.01246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006825 | PGS001562 (GBE_INI25871) |
PSS006671| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (R) | — | — | R²: 0.19269 [0.17546, 0.20991] Incremental R2 (full-covars): 0.00266 PGS R2 (no covariates): 0.01315 [0.00765, 0.01865] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006826 | PGS001562 (GBE_INI25871) |
PSS006672| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (R) | — | — | R²: 0.21725 [0.18268, 0.25183] Incremental R2 (full-covars): -0.01478 PGS R2 (no covariates): 0.00072 [-0.00182, 0.00326] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006827 | PGS001562 (GBE_INI25871) |
PSS006673| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (R) | — | — | R²: 0.23012 [0.22094, 0.23929] Incremental R2 (full-covars): 0.00552 PGS R2 (no covariates): 0.00646 [0.00447, 0.00844] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006828 | PGS001562 (GBE_INI25871) |
PSS006674| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (R) | — | — | R²: 0.24992 [0.23332, 0.26653] Incremental R2 (full-covars): -0.00671 PGS R2 (no covariates): 0.00084 [-0.00044, 0.00212] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006829 | PGS001562 (GBE_INI25871) |
PSS006675| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (R) | — | — | R²: 0.18597 [0.18067, 0.19127] Incremental R2 (full-covars): 0.00727 PGS R2 (no covariates): 0.01001 [0.00852, 0.01151] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006870 | PGS001563 (GBE_INI25886) |
PSS006716| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.13025 [0.11499, 0.14551] Incremental R2 (full-covars): -0.03183 PGS R2 (no covariates): 0.00618 [0.00238, 0.00997] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006871 | PGS001563 (GBE_INI25886) |
PSS006717| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.29602 [0.25972, 0.33232] Incremental R2 (full-covars): 0.00283 PGS R2 (no covariates): 0.02592 [0.01106, 0.04078] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006872 | PGS001563 (GBE_INI25886) |
PSS006718| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.24885 [0.23954, 0.25815] Incremental R2 (full-covars): 0.02762 PGS R2 (no covariates): 0.03121 [0.02696, 0.03546] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006873 | PGS001563 (GBE_INI25886) |
PSS006719| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.36017 [0.34317, 0.37717] Incremental R2 (full-covars): 0.01481 PGS R2 (no covariates): 0.02413 [0.01742, 0.03084] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006874 | PGS001563 (GBE_INI25886) |
PSS006720| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (L) | — | — | R²: 0.22036 [0.21483, 0.22588] Incremental R2 (full-covars): 0.03488 PGS R2 (no covariates): 0.04006 [0.03716, 0.04296] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006875 | PGS001564 (GBE_INI25887) |
PSS006721| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (R) | — | — | R²: 0.14339 [0.12763, 0.15916] Incremental R2 (full-covars): -0.02344 PGS R2 (no covariates): 0.00202 [-0.00016, 0.0042] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006876 | PGS001564 (GBE_INI25887) |
PSS006722| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (R) | — | — | R²: 0.36318 [0.32681, 0.39955] Incremental R2 (full-covars): 0.06005 PGS R2 (no covariates): 0.15238 [0.12102, 0.18373] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006877 | PGS001564 (GBE_INI25887) |
PSS006723| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (R) | — | — | R²: 0.23376 [0.22456, 0.24296] Incremental R2 (full-covars): 0.02186 PGS R2 (no covariates): 0.02739 [0.02339, 0.03139] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006878 | PGS001564 (GBE_INI25887) |
PSS006724| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (R) | — | — | R²: 0.34285 [0.32581, 0.35989] Incremental R2 (full-covars): 0.02102 PGS R2 (no covariates): 0.02217 [0.01572, 0.02861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006879 | PGS001564 (GBE_INI25887) |
PSS006725| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Hippocampus (R) | — | — | R²: 0.2064 [0.20095, 0.21184] Incremental R2 (full-covars): 0.0332 PGS R2 (no covariates): 0.03713 [0.03433, 0.03993] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006900 | PGS001565 (GBE_INI25893) |
PSS006746| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.23586 [0.21782, 0.2539] Incremental R2 (full-covars): -0.0017 PGS R2 (no covariates): 0.00167 [-0.00031, 0.00365] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006901 | PGS001565 (GBE_INI25893) |
PSS006747| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.1308 [0.10101, 0.16059] Incremental R2 (full-covars): 0.00056 PGS R2 (no covariates): 0.00268 [-0.00221, 0.00758] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006902 | PGS001565 (GBE_INI25893) |
PSS006748| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.11705 [0.10955, 0.12456] Incremental R2 (full-covars): 0.02184 PGS R2 (no covariates): 0.02652 [0.02259, 0.03046] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006903 | PGS001565 (GBE_INI25893) |
PSS006749| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.20074 [0.18489, 0.2166] Incremental R2 (full-covars): 0.01929 PGS R2 (no covariates): 0.0172 [0.0115, 0.02291] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006904 | PGS001565 (GBE_INI25893) |
PSS006750| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (L) | — | — | R²: 0.11106 [0.10659, 0.11553] Incremental R2 (full-covars): 0.02037 PGS R2 (no covariates): 0.02005 [0.01796, 0.02214] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006905 | PGS001566 (GBE_INI25894) |
PSS006751| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.21138 [0.19376, 0.229] Incremental R2 (full-covars): -0.00228 PGS R2 (no covariates): 0.00284 [0.00026, 0.00543] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006906 | PGS001566 (GBE_INI25894) |
PSS006752| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.11419 [0.08582, 0.14256] Incremental R2 (full-covars): 0.01005 PGS R2 (no covariates): 0.01382 [0.00284, 0.02481] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006907 | PGS001566 (GBE_INI25894) |
PSS006753| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.11593 [0.10845, 0.1234] Incremental R2 (full-covars): 0.01335 PGS R2 (no covariates): 0.01625 [0.01314, 0.01937] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006908 | PGS001566 (GBE_INI25894) |
PSS006754| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.22953 [0.21318, 0.24587] Incremental R2 (full-covars): 0.01945 PGS R2 (no covariates): 0.02287 [0.01633, 0.02941] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006909 | PGS001566 (GBE_INI25894) |
PSS006755| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in I-IV Cerebellum (R) | — | — | R²: 0.11247 [0.10798, 0.11697] Incremental R2 (full-covars): 0.01623 PGS R2 (no covariates): 0.01642 [0.01451, 0.01832] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006640 | PGS001567 (GBE_INI25791) |
PSS006476| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Frontal Gyrus, pars triangularis (R) | — | — | R²: 0.15747 [0.14122, 0.17372] Incremental R2 (full-covars): -0.00114 PGS R2 (no covariates): 0.00239 [0.00002, 0.00476] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006641 | PGS001567 (GBE_INI25791) |
PSS006477| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Frontal Gyrus, pars triangularis (R) | — | — | R²: 0.07775 [0.05338, 0.10212] Incremental R2 (full-covars): 0.007 PGS R2 (no covariates): 0.00488 [-0.00171, 0.01147] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006642 | PGS001567 (GBE_INI25791) |
PSS006478| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Frontal Gyrus, pars triangularis (R) | — | — | R²: 0.08161 [0.07509, 0.08813] Incremental R2 (full-covars): 0.00419 PGS R2 (no covariates): 0.00435 [0.00272, 0.00599] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006643 | PGS001567 (GBE_INI25791) |
PSS006479| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Frontal Gyrus, pars triangularis (R) | — | — | R²: 0.13462 [0.12056, 0.14867] Incremental R2 (full-covars): 0.01305 PGS R2 (no covariates): 0.01158 [0.00687, 0.01629] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006644 | PGS001567 (GBE_INI25791) |
PSS006480| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Frontal Gyrus, pars triangularis (R) | — | — | R²: 0.06033 [0.05685, 0.06381] Incremental R2 (full-covars): 0.00377 PGS R2 (no covariates): 0.00443 [0.00343, 0.00543] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006680 | PGS001568 (GBE_INI25810) |
PSS006516| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Temporal Gyrus, posterior division (L) | — | — | R²: 0.11284 [0.09836, 0.12733] Incremental R2 (full-covars): 0.0062 PGS R2 (no covariates): 0.00585 [0.00216, 0.00955] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006681 | PGS001568 (GBE_INI25810) |
PSS006517| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Temporal Gyrus, posterior division (L) | — | — | R²: 0.25453 [0.21889, 0.29017] Incremental R2 (full-covars): 0.00352 PGS R2 (no covariates): 8e-05 [-0.00076, 0.00091] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006682 | PGS001568 (GBE_INI25810) |
PSS006518| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Temporal Gyrus, posterior division (L) | — | — | R²: 0.15146 [0.14326, 0.15966] Incremental R2 (full-covars): 0.00735 PGS R2 (no covariates): 0.00887 [0.00656, 0.01119] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006683 | PGS001568 (GBE_INI25810) |
PSS006519| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Temporal Gyrus, posterior division (L) | — | — | R²: 0.13939 [0.12516, 0.15362] Incremental R2 (full-covars): 0.01367 PGS R2 (no covariates): 0.01645 [0.01086, 0.02203] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006684 | PGS001568 (GBE_INI25810) |
PSS006520| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Inferior Temporal Gyrus, posterior division (L) | — | — | R²: 0.11625 [0.1117, 0.1208] Incremental R2 (full-covars): 0.00446 PGS R2 (no covariates): 0.00566 [0.00453, 0.00679] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006610 | PGS001569 (GBE_INI25784) |
PSS006446| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (L) | — | — | R²: 0.28215 [0.26361, 0.30068] Incremental R2 (full-covars): 0.00483 PGS R2 (no covariates): 0.00402 [0.00095, 0.00709] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006611 | PGS001569 (GBE_INI25784) |
PSS006447| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (L) | — | — | R²: 0.27652 [0.24047, 0.31258] Incremental R2 (full-covars): 0.03764 PGS R2 (no covariates): 0.05204 [0.03155, 0.07254] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006612 | PGS001569 (GBE_INI25784) |
PSS006448| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (L) | — | — | R²: 0.26369 [0.2543, 0.27308] Incremental R2 (full-covars): 0.02425 PGS R2 (no covariates): 0.03047 [0.02627, 0.03468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006613 | PGS001569 (GBE_INI25784) |
PSS006449| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (L) | — | — | R²: 0.26335 [0.24661, 0.28009] Incremental R2 (full-covars): 0.01576 PGS R2 (no covariates): 0.01756 [0.01179, 0.02332] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006614 | PGS001569 (GBE_INI25784) |
PSS006450| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (L) | — | — | R²: 0.20836 [0.2029, 0.21381] Incremental R2 (full-covars): 0.02489 PGS R2 (no covariates): 0.02641 [0.02402, 0.0288] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006615 | PGS001570 (GBE_INI25785) |
PSS006451| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (R) | — | — | R²: 0.28155 [0.26302, 0.30007] Incremental R2 (full-covars): 0.01571 PGS R2 (no covariates): 0.01088 [0.00587, 0.0159] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006616 | PGS001570 (GBE_INI25785) |
PSS006452| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (R) | — | — | R²: 0.27495 [0.23893, 0.31098] Incremental R2 (full-covars): 0.04646 PGS R2 (no covariates): 0.04965 [0.02958, 0.06972] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006617 | PGS001570 (GBE_INI25785) |
PSS006453| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (R) | — | — | R²: 0.27424 [0.2648, 0.28368] Incremental R2 (full-covars): 0.02329 PGS R2 (no covariates): 0.02767 [0.02365, 0.03168] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006618 | PGS001570 (GBE_INI25785) |
PSS006454| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (R) | — | — | R²: 0.2559 [0.23923, 0.27256] Incremental R2 (full-covars): 0.01268 PGS R2 (no covariates): 0.01159 [0.00688, 0.0163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006619 | PGS001570 (GBE_INI25785) |
PSS006455| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Insular Cortex (R) | — | — | R²: 0.19853 [0.19314, 0.20392] Incremental R2 (full-covars): 0.02012 PGS R2 (no covariates): 0.02087 [0.01874, 0.02301] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006695 | PGS001571 (GBE_INI25828) |
PSS006531| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (L) | — | — | R²: 0.06107 [0.04979, 0.07235] Incremental R2 (full-covars): -0.04544 PGS R2 (no covariates): 0.00125 [-0.00047, 0.00296] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006696 | PGS001571 (GBE_INI25828) |
PSS006532| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (L) | — | — | R²: 0.2149 [0.18041, 0.24939] Incremental R2 (full-covars): 5e-05 PGS R2 (no covariates): 0.01579 [0.00407, 0.02751] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006697 | PGS001571 (GBE_INI25828) |
PSS006533| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (L) | — | — | R²: 0.16336 [0.15496, 0.17176] Incremental R2 (full-covars): 0.03317 PGS R2 (no covariates): 0.03235 [0.02803, 0.03667] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006698 | PGS001571 (GBE_INI25828) |
PSS006534| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (L) | — | — | R²: 0.14682 [0.13235, 0.1613] Incremental R2 (full-covars): 0.01949 PGS R2 (no covariates): 0.02099 [0.01471, 0.02727] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006699 | PGS001571 (GBE_INI25828) |
PSS006535| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (L) | — | — | R²: 0.11819 [0.11362, 0.12277] Incremental R2 (full-covars): 0.04206 PGS R2 (no covariates): 0.04356 [0.04055, 0.04657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007000 | PGS001572 (GBE_INI25915) |
PSS006846| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (L) | — | — | R²: 0.03354 [0.02494, 0.04215] Incremental R2 (full-covars): -0.00776 PGS R2 (no covariates): 2e-05 [-0.00021, 0.00026] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007001 | PGS001572 (GBE_INI25915) |
PSS006847| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (L) | — | — | R²: 0.13435 [0.10428, 0.16442] Incremental R2 (full-covars): 0.05571 PGS R2 (no covariates): 0.07868 [0.05419, 0.10317] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007002 | PGS001572 (GBE_INI25915) |
PSS006848| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (L) | — | — | R²: 0.07661 [0.07026, 0.08295] Incremental R2 (full-covars): 0.03223 PGS R2 (no covariates): 0.03469 [0.03022, 0.03915] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007003 | PGS001572 (GBE_INI25915) |
PSS006849| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (L) | — | — | R²: 0.0698 [0.05892, 0.08068] Incremental R2 (full-covars): 0.00123 PGS R2 (no covariates): 0.00562 [0.00232, 0.00892] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007004 | PGS001572 (GBE_INI25915) |
PSS006850| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (L) | — | — | R²: 0.06956 [0.06586, 0.07327] Incremental R2 (full-covars): 0.03165 PGS R2 (no covariates): 0.03352 [0.03085, 0.0362] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007010 | PGS001573 (GBE_INI25917) |
PSS006856| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (R) | — | — | R²: 0.04267 [0.03306, 0.05229] Incremental R2 (full-covars): -0.01895 PGS R2 (no covariates): 0.00031 [-0.00055, 0.00116] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007011 | PGS001573 (GBE_INI25917) |
PSS006857| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (R) | — | — | R²: 0.15548 [0.12392, 0.18703] Incremental R2 (full-covars): 0.05842 PGS R2 (no covariates): 0.0638 [0.04139, 0.08621] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007012 | PGS001573 (GBE_INI25917) |
PSS006858| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (R) | — | — | R²: 0.09766 [0.09065, 0.10466] Incremental R2 (full-covars): 0.0472 PGS R2 (no covariates): 0.04987 [0.0446, 0.05514] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007013 | PGS001573 (GBE_INI25917) |
PSS006859| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (R) | — | — | R²: 0.07429 [0.06312, 0.08547] Incremental R2 (full-covars): 0.00117 PGS R2 (no covariates): 0.00496 [0.00186, 0.00806] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007014 | PGS001573 (GBE_INI25917) |
PSS006860| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in IX Cerebellum (R) | — | — | R²: 0.07567 [0.07183, 0.07951] Incremental R2 (full-covars): 0.02903 PGS R2 (no covariates): 0.03118 [0.0286, 0.03376] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006690 | PGS001574 (GBE_INI25827) |
PSS006526| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, inferior division (R) | — | — | R²: 0.1489 [0.13293, 0.16486] Incremental R2 (full-covars): 0.00769 PGS R2 (no covariates): 0.00792 [0.00363, 0.01221] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006691 | PGS001574 (GBE_INI25827) |
PSS006527| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, inferior division (R) | — | — | R²: 0.14672 [0.11574, 0.17769] Incremental R2 (full-covars): -0.00324 PGS R2 (no covariates): 0.00031 [-0.00136, 0.00199] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006692 | PGS001574 (GBE_INI25827) |
PSS006528| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, inferior division (R) | — | — | R²: 0.18284 [0.17417, 0.19152] Incremental R2 (full-covars): 0.00632 PGS R2 (no covariates): 0.00814 [0.00592, 0.01036] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006693 | PGS001574 (GBE_INI25827) |
PSS006529| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, inferior division (R) | — | — | R²: 0.18007 [0.16466, 0.19547] Incremental R2 (full-covars): 0.01839 PGS R2 (no covariates): 0.0217 [0.01532, 0.02808] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006694 | PGS001574 (GBE_INI25827) |
PSS006530| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, inferior division (R) | — | — | R²: 0.13861 [0.13377, 0.14345] Incremental R2 (full-covars): 0.00286 PGS R2 (no covariates): 0.00329 [0.00243, 0.00416] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006685 | PGS001575 (GBE_INI25825) |
PSS006521| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, superior division (R) | — | — | R²: 0.14155 [0.12585, 0.15725] Incremental R2 (full-covars): 0.00073 PGS R2 (no covariates): 0.00306 [0.00038, 0.00574] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006686 | PGS001575 (GBE_INI25825) |
PSS006522| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, superior division (R) | — | — | R²: 0.23982 [0.20454, 0.2751] Incremental R2 (full-covars): 0.00201 PGS R2 (no covariates): 0.00605 [-0.00128, 0.01338] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006687 | PGS001575 (GBE_INI25825) |
PSS006523| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, superior division (R) | — | — | R²: 0.19404 [0.18522, 0.20285] Incremental R2 (full-covars): -0.00131 PGS R2 (no covariates): 0.00052 [-0.00004, 0.00109] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006688 | PGS001575 (GBE_INI25825) |
PSS006524| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, superior division (R) | — | — | R²: 0.17329 [0.15805, 0.18852] Incremental R2 (full-covars): 0.01003 PGS R2 (no covariates): 0.00544 [0.00219, 0.00869] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006689 | PGS001575 (GBE_INI25825) |
PSS006525| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lateral Occipital Cortex, superior division (R) | — | — | R²: 0.12591 [0.12123, 0.1306] Incremental R2 (full-covars): 0.00536 PGS R2 (no covariates): 0.00566 [0.00453, 0.00679] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006770 | PGS001576 (GBE_INI25853) |
PSS006611| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lingual Gyrus (R) | — | — | R²: 0.28329 [0.26474, 0.30183] Incremental R2 (full-covars): 0.00546 PGS R2 (no covariates): 0.00621 [0.0024, 0.01001] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006771 | PGS001576 (GBE_INI25853) |
PSS006612| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lingual Gyrus (R) | — | — | R²: 0.29416 [0.25789, 0.33044] Incremental R2 (full-covars): -0.03444 PGS R2 (no covariates): 0.02579 [0.01096, 0.04061] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006772 | PGS001576 (GBE_INI25853) |
PSS006613| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lingual Gyrus (R) | — | — | R²: 0.2938 [0.2843, 0.30331] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.00909 [0.00674, 0.01144] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006773 | PGS001576 (GBE_INI25853) |
PSS006614| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lingual Gyrus (R) | — | — | R²: 0.33175 [0.31471, 0.34879] Incremental R2 (full-covars): -0.00594 PGS R2 (no covariates): 0.00651 [0.00296, 0.01006] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006774 | PGS001576 (GBE_INI25853) |
PSS006615| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Lingual Gyrus (R) | — | — | R²: 0.23829 [0.23268, 0.2439] Incremental R2 (full-covars): 0.01267 PGS R2 (no covariates): 0.01526 [0.01342, 0.01709] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006630 | PGS001577 (GBE_INI25788) |
PSS006466| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (L) | — | — | R²: 0.16771 [0.15115, 0.18428] Incremental R2 (full-covars): 0.00787 PGS R2 (no covariates): 0.00523 [0.00173, 0.00873] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006631 | PGS001577 (GBE_INI25788) |
PSS006467| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (L) | — | — | R²: 0.10643 [0.07881, 0.13406] Incremental R2 (full-covars): -0.0078 PGS R2 (no covariates): 0.00071 [-0.00181, 0.00322] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006632 | PGS001577 (GBE_INI25788) |
PSS006468| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (L) | — | — | R²: 0.12201 [0.11439, 0.12963] Incremental R2 (full-covars): 0.00901 PGS R2 (no covariates): 0.00855 [0.00628, 0.01083] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006633 | PGS001577 (GBE_INI25788) |
PSS006469| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (L) | — | — | R²: 0.11502 [0.10173, 0.12831] Incremental R2 (full-covars): 0.01404 PGS R2 (no covariates): 0.01791 [0.01209, 0.02373] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006634 | PGS001577 (GBE_INI25788) |
PSS006470| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (L) | — | — | R²: 0.09758 [0.09333, 0.10184] Incremental R2 (full-covars): 0.00911 PGS R2 (no covariates): 0.00783 [0.00651, 0.00916] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006635 | PGS001578 (GBE_INI25789) |
PSS006471| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (R) | — | — | R²: 0.12444 [0.10943, 0.13945] Incremental R2 (full-covars): 0.00915 PGS R2 (no covariates): 0.01085 [0.00585, 0.01586] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006636 | PGS001578 (GBE_INI25789) |
PSS006472| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (R) | — | — | R²: 0.17686 [0.14405, 0.20966] Incremental R2 (full-covars): 0.01225 PGS R2 (no covariates): 0.01413 [0.00302, 0.02523] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006637 | PGS001578 (GBE_INI25789) |
PSS006473| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (R) | — | — | R²: 0.13726 [0.12932, 0.1452] Incremental R2 (full-covars): 0.00743 PGS R2 (no covariates): 0.01048 [0.00797, 0.013] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006638 | PGS001578 (GBE_INI25789) |
PSS006474| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (R) | — | — | R²: 0.14036 [0.1261, 0.15462] Incremental R2 (full-covars): 0.00576 PGS R2 (no covariates): 0.00442 [0.00149, 0.00735] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006639 | PGS001578 (GBE_INI25789) |
PSS006475| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Frontal Gyrus (R) | — | — | R²: 0.10545 [0.10107, 0.10984] Incremental R2 (full-covars): 0.01102 PGS R2 (no covariates): 0.01242 [0.01076, 0.01408] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006675 | PGS001579 (GBE_INI25805) |
PSS006511| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.17986 [0.16295, 0.19676] Incremental R2 (full-covars): 0.0186 PGS R2 (no covariates): 0.01721 [0.01094, 0.02348] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006676 | PGS001579 (GBE_INI25805) |
PSS006512| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.25607 [0.22039, 0.29174] Incremental R2 (full-covars): 0.0084 PGS R2 (no covariates): 0.01333 [0.00253, 0.02412] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006677 | PGS001579 (GBE_INI25805) |
PSS006513| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.15437 [0.14612, 0.16263] Incremental R2 (full-covars): 0.00255 PGS R2 (no covariates): 0.00308 [0.0017, 0.00445] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006678 | PGS001579 (GBE_INI25805) |
PSS006514| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.21472 [0.19861, 0.23083] Incremental R2 (full-covars): 0.00514 PGS R2 (no covariates): 0.0065 [0.00296, 0.01005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006679 | PGS001579 (GBE_INI25805) |
PSS006515| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.10368 [0.09932, 0.10803] Incremental R2 (full-covars): 0.00457 PGS R2 (no covariates): 0.00634 [0.00514, 0.00753] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006790 | PGS001580 (GBE_INI25860) |
PSS006631| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Fusiform Gyrus (L) | — | — | R²: 0.15019 [0.13419, 0.1662] Incremental R2 (full-covars): -0.00209 PGS R2 (no covariates): 0.00949 [0.0048, 0.01418] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006791 | PGS001580 (GBE_INI25860) |
PSS006632| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Fusiform Gyrus (L) | — | — | R²: 0.25279 [0.21719, 0.28839] Incremental R2 (full-covars): -0.0031 PGS R2 (no covariates): 0.01128 [0.00133, 0.02123] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006792 | PGS001580 (GBE_INI25860) |
PSS006633| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Fusiform Gyrus (L) | — | — | R²: 0.20703 [0.19807, 0.21599] Incremental R2 (full-covars): -0.00037 PGS R2 (no covariates): 4e-05 [-0.00011, 0.00019] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006793 | PGS001580 (GBE_INI25860) |
PSS006634| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Fusiform Gyrus (L) | — | — | R²: 0.22789 [0.21157, 0.24421] Incremental R2 (full-covars): 0.00377 PGS R2 (no covariates): 0.00337 [0.00081, 0.00593] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006794 | PGS001580 (GBE_INI25860) |
PSS006635| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Fusiform Gyrus (L) | — | — | R²: 0.14666 [0.14173, 0.1516] Incremental R2 (full-covars): 0.00421 PGS R2 (no covariates): 0.00452 [0.00351, 0.00553] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006845 | PGS001581 (GBE_INI25877) |
PSS006691| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Pole (R) | — | — | R²: 0.15712 [0.14088, 0.17336] Incremental R2 (full-covars): -0.0294 PGS R2 (no covariates): 0.00663 [0.0027, 0.01056] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006846 | PGS001581 (GBE_INI25877) |
PSS006692| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Pole (R) | — | — | R²: 0.28308 [0.24694, 0.31923] Incremental R2 (full-covars): 0.02194 PGS R2 (no covariates): 0.01189 [0.00168, 0.02209] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006847 | PGS001581 (GBE_INI25877) |
PSS006693| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Pole (R) | — | — | R²: 0.26035 [0.25098, 0.26972] Incremental R2 (full-covars): 0.01181 PGS R2 (no covariates): 0.0105 [0.00798, 0.01302] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006848 | PGS001581 (GBE_INI25877) |
PSS006694| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Pole (R) | — | — | R²: 0.23522 [0.2188, 0.25164] Incremental R2 (full-covars): 0.00503 PGS R2 (no covariates): 0.0115 [0.0068, 0.01619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006849 | PGS001581 (GBE_INI25877) |
PSS006695| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Occipital Pole (R) | — | — | R²: 0.19182 [0.18648, 0.19716] Incremental R2 (full-covars): 0.01267 PGS R2 (no covariates): 0.01288 [0.01119, 0.01457] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006710 | PGS001582 (GBE_INI25837) |
PSS006551| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Paracingulate Gyrus (R) | — | — | R²: 0.1642 [0.14773, 0.18066] Incremental R2 (full-covars): -0.00791 PGS R2 (no covariates): 0.00357 [0.00068, 0.00646] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006711 | PGS001582 (GBE_INI25837) |
PSS006552| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Paracingulate Gyrus (R) | — | — | R²: 0.18791 [0.15455, 0.22127] Incremental R2 (full-covars): 0.00444 PGS R2 (no covariates): 0.00633 [-0.00116, 0.01382] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006712 | PGS001582 (GBE_INI25837) |
PSS006553| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Paracingulate Gyrus (R) | — | — | R²: 0.20888 [0.1999, 0.21786] Incremental R2 (full-covars): 0.0052 PGS R2 (no covariates): 0.00895 [0.00662, 0.01127] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006713 | PGS001582 (GBE_INI25837) |
PSS006554| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Paracingulate Gyrus (R) | — | — | R²: 0.22979 [0.21344, 0.24614] Incremental R2 (full-covars): -0.00662 PGS R2 (no covariates): 0.00335 [0.00079, 0.0059] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006714 | PGS001582 (GBE_INI25837) |
PSS006555| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Paracingulate Gyrus (R) | — | — | R²: 0.1674 [0.16225, 0.17254] Incremental R2 (full-covars): 0.00343 PGS R2 (no covariates): 0.00454 [0.00352, 0.00555] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006750 | PGS001583 (GBE_INI25848) |
PSS006591| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (L) | — | — | R²: 0.27955 [0.26104, 0.29807] Incremental R2 (full-covars): -0.02498 PGS R2 (no covariates): 0.00805 [0.00373, 0.01238] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006751 | PGS001583 (GBE_INI25848) |
PSS006592| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (L) | — | — | R²: 0.20592 [0.17177, 0.24006] Incremental R2 (full-covars): -0.03645 PGS R2 (no covariates): 0.00822 [-0.0003, 0.01674] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006752 | PGS001583 (GBE_INI25848) |
PSS006593| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (L) | — | — | R²: 0.21082 [0.20182, 0.21981] Incremental R2 (full-covars): -0.00108 PGS R2 (no covariates): 0.00219 [0.00103, 0.00335] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006753 | PGS001583 (GBE_INI25848) |
PSS006594| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (L) | — | — | R²: 0.23973 [0.22325, 0.25622] Incremental R2 (full-covars): 0.01199 PGS R2 (no covariates): 0.00677 [0.00315, 0.01039] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006754 | PGS001583 (GBE_INI25848) |
PSS006595| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (L) | — | — | R²: 0.2031 [0.19767, 0.20852] Incremental R2 (full-covars): 0.00654 PGS R2 (no covariates): 0.01039 [0.00887, 0.01192] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006755 | PGS001584 (GBE_INI25849) |
PSS006596| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (R) | — | — | R²: 0.33626 [0.31755, 0.35497] Incremental R2 (full-covars): -0.01142 PGS R2 (no covariates): 0.00704 [0.00299, 0.01109] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006756 | PGS001584 (GBE_INI25849) |
PSS006597| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (R) | — | — | R²: 0.24194 [0.2066, 0.27727] Incremental R2 (full-covars): -0.02249 PGS R2 (no covariates): 0.00714 [-0.00081, 0.01509] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006757 | PGS001584 (GBE_INI25849) |
PSS006598| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (R) | — | — | R²: 0.22814 [0.21898, 0.2373] Incremental R2 (full-covars): 0.01288 PGS R2 (no covariates): 0.00762 [0.00547, 0.00977] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006758 | PGS001584 (GBE_INI25849) |
PSS006599| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (R) | — | — | R²: 0.25962 [0.24292, 0.27632] Incremental R2 (full-covars): 0.00817 PGS R2 (no covariates): 0.00943 [0.00517, 0.01369] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006759 | PGS001584 (GBE_INI25849) |
PSS006600| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, anterior division (R) | — | — | R²: 0.21452 [0.20903, 0.22001] Incremental R2 (full-covars): 0.01002 PGS R2 (no covariates): 0.01016 [0.00866, 0.01167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006760 | PGS001585 (GBE_INI25850) |
PSS006601| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (L) | — | — | R²: 0.08469 [0.07174, 0.09763] Incremental R2 (full-covars): -0.0246 PGS R2 (no covariates): 0.00528 [0.00177, 0.0088] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006761 | PGS001585 (GBE_INI25850) |
PSS006602| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (L) | — | — | R²: 0.14255 [0.11187, 0.17323] Incremental R2 (full-covars): -0.00794 PGS R2 (no covariates): 0.00011 [-0.00088, 0.00109] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006762 | PGS001585 (GBE_INI25850) |
PSS006603| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (L) | — | — | R²: 0.15465 [0.14639, 0.16291] Incremental R2 (full-covars): 0.01501 PGS R2 (no covariates): 0.01563 [0.01257, 0.01868] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006763 | PGS001585 (GBE_INI25850) |
PSS006604| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (L) | — | — | R²: 0.21929 [0.20311, 0.23548] Incremental R2 (full-covars): -0.00242 PGS R2 (no covariates): 0.00632 [0.00283, 0.00982] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006764 | PGS001585 (GBE_INI25850) |
PSS006605| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (L) | — | — | R²: 0.13089 [0.12614, 0.13563] Incremental R2 (full-covars): 0.01316 PGS R2 (no covariates): 0.01418 [0.01241, 0.01596] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006765 | PGS001586 (GBE_INI25851) |
PSS006606| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (R) | — | — | R²: 0.08591 [0.07289, 0.09893] Incremental R2 (full-covars): -0.02694 PGS R2 (no covariates): 0.0181 [0.01168, 0.02453] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006766 | PGS001586 (GBE_INI25851) |
PSS006607| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (R) | — | — | R²: 0.12345 [0.09426, 0.15263] Incremental R2 (full-covars): 0.01516 PGS R2 (no covariates): 0.02194 [0.00821, 0.03567] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006767 | PGS001586 (GBE_INI25851) |
PSS006608| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (R) | — | — | R²: 0.13438 [0.12649, 0.14226] Incremental R2 (full-covars): 0.00329 PGS R2 (no covariates): 0.0044 [0.00276, 0.00604] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006768 | PGS001586 (GBE_INI25851) |
PSS006609| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (R) | — | — | R²: 0.23886 [0.22239, 0.25533] Incremental R2 (full-covars): 0.00802 PGS R2 (no covariates): 0.01564 [0.01019, 0.02109] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006769 | PGS001586 (GBE_INI25851) |
PSS006610| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parahippocampal Gyrus, posterior division (R) | — | — | R²: 0.10437 [0.1, 0.10873] Incremental R2 (full-covars): 0.01458 PGS R2 (no covariates): 0.01485 [0.01304, 0.01666] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006810 | PGS001587 (GBE_INI25868) |
PSS006656| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (L) | — | — | R²: 0.14495 [0.12913, 0.16077] Incremental R2 (full-covars): 0.00308 PGS R2 (no covariates): 7e-05 [-0.00034, 0.00048] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006811 | PGS001587 (GBE_INI25868) |
PSS006657| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (L) | — | — | R²: 0.15136 [0.12007, 0.18265] Incremental R2 (full-covars): 8e-05 PGS R2 (no covariates): 0.0036 [-0.00207, 0.00926] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006812 | PGS001587 (GBE_INI25868) |
PSS006658| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (L) | — | — | R²: 0.17366 [0.16511, 0.18221] Incremental R2 (full-covars): 0.01307 PGS R2 (no covariates): 0.01252 [0.00978, 0.01526] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006813 | PGS001587 (GBE_INI25868) |
PSS006659| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (L) | — | — | R²: 0.18795 [0.17237, 0.20354] Incremental R2 (full-covars): -0.00483 PGS R2 (no covariates): 0.00034 [-0.00048, 0.00115] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006814 | PGS001587 (GBE_INI25868) |
PSS006660| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (L) | — | — | R²: 0.14917 [0.14421, 0.15413] Incremental R2 (full-covars): 0.0116 PGS R2 (no covariates): 0.0106 [0.00906, 0.01214] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006817 | PGS001588 (GBE_INI25869) |
PSS006663| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (R) | — | — | R²: 0.22272 [0.21361, 0.23183] Incremental R2 (full-covars): 0.01625 PGS R2 (no covariates): 0.0178 [0.01455, 0.02106] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006815 | PGS001588 (GBE_INI25869) |
PSS006661| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (R) | — | — | R²: 0.2247 [0.20684, 0.24257] Incremental R2 (full-covars): 0.01813 PGS R2 (no covariates): 0.01473 [0.00892, 0.02054] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006816 | PGS001588 (GBE_INI25869) |
PSS006662| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (R) | — | — | R²: 0.14652 [0.11556, 0.17748] Incremental R2 (full-covars): 0.0019 PGS R2 (no covariates): 0.00594 [-0.00132, 0.0132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006818 | PGS001588 (GBE_INI25869) |
PSS006664| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (R) | — | — | R²: 0.27869 [0.26183, 0.29555] Incremental R2 (full-covars): 0.00087 PGS R2 (no covariates): 0.00077 [-0.00046, 0.00199] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006819 | PGS001588 (GBE_INI25869) |
PSS006665| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Polare (R) | — | — | R²: 0.17784 [0.17261, 0.18307] Incremental R2 (full-covars): 0.01338 PGS R2 (no covariates): 0.01306 [0.01136, 0.01477] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006830 | PGS001589 (GBE_INI25872) |
PSS006676| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Temporale (L) | — | — | R²: 0.20361 [0.18614, 0.22108] Incremental R2 (full-covars): -0.00976 PGS R2 (no covariates): 0.00032 [-0.00055, 0.0012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006831 | PGS001589 (GBE_INI25872) |
PSS006677| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Temporale (L) | — | — | R²: 0.15123 [0.11995, 0.18251] Incremental R2 (full-covars): -0.01251 PGS R2 (no covariates): 0.00326 [-0.00213, 0.00866] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006832 | PGS001589 (GBE_INI25872) |
PSS006678| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Temporale (L) | — | — | R²: 0.25493 [0.24558, 0.26427] Incremental R2 (full-covars): 0.00893 PGS R2 (no covariates): 0.01257 [0.00982, 0.01532] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006833 | PGS001589 (GBE_INI25872) |
PSS006679| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Temporale (L) | — | — | R²: 0.17503 [0.15975, 0.19031] Incremental R2 (full-covars): -0.00647 PGS R2 (no covariates): 0.00401 [0.00122, 0.00681] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006834 | PGS001589 (GBE_INI25872) |
PSS006680| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Planum Temporale (L) | — | — | R²: 0.18417 [0.17889, 0.18946] Incremental R2 (full-covars): 0.00627 PGS R2 (no covariates): 0.00911 [0.00769, 0.01054] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006645 | PGS001590 (GBE_INI25794) |
PSS006481| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (L) | — | — | R²: 0.16158 [0.1452, 0.17796] Incremental R2 (full-covars): 0.00708 PGS R2 (no covariates): 0.00867 [0.00418, 0.01315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006646 | PGS001590 (GBE_INI25794) |
PSS006482| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (L) | — | — | R²: 0.17116 [0.13867, 0.20366] Incremental R2 (full-covars): 0.01419 PGS R2 (no covariates): 0.02608 [0.01118, 0.04099] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006647 | PGS001590 (GBE_INI25794) |
PSS006483| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (L) | — | — | R²: 0.17973 [0.1711, 0.18837] Incremental R2 (full-covars): 0.01078 PGS R2 (no covariates): 0.01637 [0.01325, 0.0195] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006648 | PGS001590 (GBE_INI25794) |
PSS006484| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (L) | — | — | R²: 0.25123 [0.23461, 0.26784] Incremental R2 (full-covars): 0.00652 PGS R2 (no covariates): 0.01035 [0.00589, 0.01481] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006649 | PGS001590 (GBE_INI25794) |
PSS006485| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (L) | — | — | R²: 0.1643 [0.15918, 0.16941] Incremental R2 (full-covars): 0.01081 PGS R2 (no covariates): 0.01242 [0.01076, 0.01408] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006650 | PGS001591 (GBE_INI25795) |
PSS006486| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (R) | — | — | R²: 0.13772 [0.12216, 0.15327] Incremental R2 (full-covars): -0.01782 PGS R2 (no covariates): 6e-05 [-0.00031, 0.00042] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006651 | PGS001591 (GBE_INI25795) |
PSS006487| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (R) | — | — | R²: 0.15758 [0.12589, 0.18927] Incremental R2 (full-covars): 0.00553 PGS R2 (no covariates): 0.01935 [0.00642, 0.03228] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006652 | PGS001591 (GBE_INI25795) |
PSS006488| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (R) | — | — | R²: 0.17095 [0.16243, 0.17946] Incremental R2 (full-covars): 0.01077 PGS R2 (no covariates): 0.01168 [0.00903, 0.01433] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006653 | PGS001591 (GBE_INI25795) |
PSS006489| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (R) | — | — | R²: 0.19243 [0.17674, 0.20811] Incremental R2 (full-covars): -0.00342 PGS R2 (no covariates): 0.01093 [0.00635, 0.01551] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006654 | PGS001591 (GBE_INI25795) |
PSS006490| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precentral Gyrus (R) | — | — | R²: 0.1662 [0.16107, 0.17133] Incremental R2 (full-covars): 0.01222 PGS R2 (no covariates): 0.01275 [0.01106, 0.01443] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006730 | PGS001592 (GBE_INI25842) |
PSS006571| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.17418 [0.15742, 0.19093] Incremental R2 (full-covars): -0.00715 PGS R2 (no covariates): 0.00011 [-0.0004, 0.00061] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006731 | PGS001592 (GBE_INI25842) |
PSS006572| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.23189 [0.19683, 0.26694] Incremental R2 (full-covars): 0.00823 PGS R2 (no covariates): 0.02268 [0.00873, 0.03663] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006732 | PGS001592 (GBE_INI25842) |
PSS006573| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.26361 [0.25422, 0.273] Incremental R2 (full-covars): 0.01519 PGS R2 (no covariates): 0.01267 [0.00991, 0.01543] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006733 | PGS001592 (GBE_INI25842) |
PSS006574| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.20897 [0.19296, 0.22499] Incremental R2 (full-covars): 0.02617 PGS R2 (no covariates): 0.02229 [0.01583, 0.02875] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006734 | PGS001592 (GBE_INI25842) |
PSS006575| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Precuneous Cortex (L) | — | — | R²: 0.17381 [0.16861, 0.17901] Incremental R2 (full-covars): 0.01295 PGS R2 (no covariates): 0.01375 [0.012, 0.01549] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006860 | PGS001593 (GBE_INI25882) |
PSS006706| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (L) | — | — | R²: 0.15727 [0.14103, 0.17352] Incremental R2 (full-covars): 0.00936 PGS R2 (no covariates): 0.00622 [0.00241, 0.01003] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006861 | PGS001593 (GBE_INI25882) |
PSS006707| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (L) | — | — | R²: 0.1145 [0.08611, 0.1429] Incremental R2 (full-covars): -0.01564 PGS R2 (no covariates): 0.00023 [-0.0012, 0.00165] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006862 | PGS001593 (GBE_INI25882) |
PSS006708| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (L) | — | — | R²: 0.0937 [0.08681, 0.10058] Incremental R2 (full-covars): 0.03162 PGS R2 (no covariates): 0.03651 [0.03194, 0.04108] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006863 | PGS001593 (GBE_INI25882) |
PSS006709| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (L) | — | — | R²: 0.14293 [0.12858, 0.15727] Incremental R2 (full-covars): -0.0041 PGS R2 (no covariates): 0.00155 [-0.00019, 0.00329] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006864 | PGS001593 (GBE_INI25882) |
PSS006710| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (L) | — | — | R²: 0.07123 [0.06749, 0.07498] Incremental R2 (full-covars): 0.03558 PGS R2 (no covariates): 0.04092 [0.03799, 0.04384] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006865 | PGS001594 (GBE_INI25883) |
PSS006711| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (R) | — | — | R²: 0.17151 [0.15483, 0.18819] Incremental R2 (full-covars): 0.00044 PGS R2 (no covariates): 0.00031 [-0.00055, 0.00117] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006866 | PGS001594 (GBE_INI25883) |
PSS006712| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (R) | — | — | R²: 0.14792 [0.11687, 0.17898] Incremental R2 (full-covars): -0.01332 PGS R2 (no covariates): 0.00198 [-0.00223, 0.00619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006867 | PGS001594 (GBE_INI25883) |
PSS006713| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (R) | — | — | R²: 0.09904 [0.092, 0.10608] Incremental R2 (full-covars): 0.03749 PGS R2 (no covariates): 0.04112 [0.03629, 0.04595] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006868 | PGS001594 (GBE_INI25883) |
PSS006714| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (R) | — | — | R²: 0.13338 [0.11936, 0.14739] Incremental R2 (full-covars): -0.00671 PGS R2 (no covariates): 0.00152 [-0.0002, 0.00325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006869 | PGS001594 (GBE_INI25883) |
PSS006715| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Putamen (R) | — | — | R²: 0.07754 [0.07366, 0.08142] Incremental R2 (full-covars): 0.03813 PGS R2 (no covariates): 0.04243 [0.03945, 0.04541] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006700 | PGS001595 (GBE_INI25834) |
PSS006541| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (L) | — | — | R²: 0.19999 [0.1826, 0.21738] Incremental R2 (full-covars): -0.01095 PGS R2 (no covariates): 0.00043 [-0.00058, 0.00145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006701 | PGS001595 (GBE_INI25834) |
PSS006542| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (L) | — | — | R²: 0.29377 [0.2575, 0.33005] Incremental R2 (full-covars): 0.00504 PGS R2 (no covariates): 0.00812 [-0.00035, 0.01659] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006702 | PGS001595 (GBE_INI25834) |
PSS006543| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (L) | — | — | R²: 0.25024 [0.24092, 0.25955] Incremental R2 (full-covars): 0.03449 PGS R2 (no covariates): 0.02989 [0.02572, 0.03405] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006703 | PGS001595 (GBE_INI25834) |
PSS006544| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (L) | — | — | R²: 0.22054 [0.20434, 0.23675] Incremental R2 (full-covars): -0.01402 PGS R2 (no covariates): 0.00051 [-0.00049, 0.00151] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006704 | PGS001595 (GBE_INI25834) |
PSS006545| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (L) | — | — | R²: 0.19173 [0.18639, 0.19707] Incremental R2 (full-covars): 0.02951 PGS R2 (no covariates): 0.02795 [0.0255, 0.0304] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006705 | PGS001596 (GBE_INI25835) |
PSS006546| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (R) | — | — | R²: 0.20736 [0.18981, 0.2249] Incremental R2 (full-covars): 0.00807 PGS R2 (no covariates): 0.00075 [-0.00058, 0.00208] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006706 | PGS001596 (GBE_INI25835) |
PSS006547| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (R) | — | — | R²: 0.32439 [0.28793, 0.36086] Incremental R2 (full-covars): 0.01248 PGS R2 (no covariates): 0.0152 [0.0037, 0.02671] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006707 | PGS001596 (GBE_INI25835) |
PSS006548| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (R) | — | — | R²: 0.21812 [0.20905, 0.22719] Incremental R2 (full-covars): 0.02227 PGS R2 (no covariates): 0.01995 [0.01651, 0.02339] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006708 | PGS001596 (GBE_INI25835) |
PSS006549| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (R) | — | — | R²: 0.23266 [0.21627, 0.24905] Incremental R2 (full-covars): 0.00974 PGS R2 (no covariates): 0.00711 [0.0034, 0.01082] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006709 | PGS001596 (GBE_INI25835) |
PSS006550| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Subcallosal Cortex (R) | — | — | R²: 0.18727 [0.18196, 0.19258] Incremental R2 (full-covars): 0.02821 PGS R2 (no covariates): 0.02619 [0.02381, 0.02857] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006620 | PGS001597 (GBE_INI25786) |
PSS006456| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (L) | — | — | R²: 0.09859 [0.08484, 0.11235] Incremental R2 (full-covars): -0.00792 PGS R2 (no covariates): 1e-05 [-0.00014, 0.00016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006621 | PGS001597 (GBE_INI25786) |
PSS006457| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (L) | — | — | R²: 0.19477 [0.16109, 0.22844] Incremental R2 (full-covars): 0.01272 PGS R2 (no covariates): 0.01399 [0.00294, 0.02504] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006622 | PGS001597 (GBE_INI25786) |
PSS006458| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (L) | — | — | R²: 0.13433 [0.12645, 0.14221] Incremental R2 (full-covars): 0.00771 PGS R2 (no covariates): 0.00816 [0.00593, 0.01038] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006623 | PGS001597 (GBE_INI25786) |
PSS006459| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (L) | — | — | R²: 0.12481 [0.11112, 0.1385] Incremental R2 (full-covars): -0.00831 PGS R2 (no covariates): 0.00016 [-0.0004, 0.00073] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006624 | PGS001597 (GBE_INI25786) |
PSS006460| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (L) | — | — | R²: 0.11229 [0.1078, 0.11678] Incremental R2 (full-covars): 0.00643 PGS R2 (no covariates): 0.00753 [0.00623, 0.00883] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006625 | PGS001598 (GBE_INI25787) |
PSS006461| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (R) | — | — | R²: 0.08072 [0.06802, 0.09341] Incremental R2 (full-covars): 0.0004 PGS R2 (no covariates): 1e-05 [-0.00014, 0.00016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006626 | PGS001598 (GBE_INI25787) |
PSS006462| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (R) | — | — | R²: 0.25224 [0.21665, 0.28782] Incremental R2 (full-covars): -0.00235 PGS R2 (no covariates): 0.02356 [0.00936, 0.03777] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006627 | PGS001598 (GBE_INI25787) |
PSS006463| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (R) | — | — | R²: 0.13093 [0.12312, 0.13874] Incremental R2 (full-covars): 0.00227 PGS R2 (no covariates): 0.00362 [0.00213, 0.00511] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006628 | PGS001598 (GBE_INI25787) |
PSS006464| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (R) | — | — | R²: 0.14935 [0.13479, 0.1639] Incremental R2 (full-covars): 0.00133 PGS R2 (no covariates): 0.00125 [-0.00031, 0.00281] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006629 | PGS001598 (GBE_INI25787) |
PSS006465| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Frontal Gyrus (R) | — | — | R²: 0.09939 [0.09511, 0.10368] Incremental R2 (full-covars): 0.00223 PGS R2 (no covariates): 0.0033 [0.00243, 0.00416] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006665 | PGS001599 (GBE_INI25798) |
PSS006501| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, anterior division (L) | — | — | R²: 0.09594 [0.08233, 0.10955] Incremental R2 (full-covars): -0.01656 PGS R2 (no covariates): 0.00792 [0.00363, 0.01222] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006666 | PGS001599 (GBE_INI25798) |
PSS006502| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, anterior division (L) | — | — | R²: 0.09402 [0.06769, 0.12034] Incremental R2 (full-covars): -0.01877 PGS R2 (no covariates): 0.00504 [-0.00165, 0.01174] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006667 | PGS001599 (GBE_INI25798) |
PSS006503| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, anterior division (L) | — | — | R²: 0.11857 [0.11103, 0.12611] Incremental R2 (full-covars): 0.00361 PGS R2 (no covariates): 0.00268 [0.0014, 0.00396] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006668 | PGS001599 (GBE_INI25798) |
PSS006504| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, anterior division (L) | — | — | R²: 0.15053 [0.13594, 0.16513] Incremental R2 (full-covars): 0.0051 PGS R2 (no covariates): 0.0011 [-0.00037, 0.00257] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006669 | PGS001599 (GBE_INI25798) |
PSS006505| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, anterior division (L) | — | — | R²: 0.10259 [0.09825, 0.10693] Incremental R2 (full-covars): 0.00304 PGS R2 (no covariates): 0.0034 [0.00252, 0.00428] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006670 | PGS001600 (GBE_INI25800) |
PSS006506| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.18098 [0.16404, 0.19791] Incremental R2 (full-covars): 0.00203 PGS R2 (no covariates): 0.00625 [0.00243, 0.01006] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006671 | PGS001600 (GBE_INI25800) |
PSS006507| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.05855 [0.03696, 0.08014] Incremental R2 (full-covars): -0.00351 PGS R2 (no covariates): 0.00182 [-0.00222, 0.00585] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006672 | PGS001600 (GBE_INI25800) |
PSS006508| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.15753 [0.14923, 0.16584] Incremental R2 (full-covars): 0.00476 PGS R2 (no covariates): 0.00736 [0.00525, 0.00948] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006673 | PGS001600 (GBE_INI25800) |
PSS006509| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.1574 [0.1426, 0.1722] Incremental R2 (full-covars): 0.01453 PGS R2 (no covariates): 0.01828 [0.01241, 0.02416] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006674 | PGS001600 (GBE_INI25800) |
PSS006510| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.11512 [0.11059, 0.11966] Incremental R2 (full-covars): 0.00623 PGS R2 (no covariates): 0.0077 [0.00638, 0.00901] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006835 | PGS001601 (GBE_INI25874) |
PSS006681| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (L) | — | — | R²: 0.08629 [0.07325, 0.09934] Incremental R2 (full-covars): -0.00568 PGS R2 (no covariates): 0.00021 [-0.00049, 0.0009] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006836 | PGS001601 (GBE_INI25874) |
PSS006682| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (L) | — | — | R²: 0.18114 [0.14811, 0.21417] Incremental R2 (full-covars): -0.00748 PGS R2 (no covariates): 0.0019 [-0.00222, 0.00602] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006837 | PGS001601 (GBE_INI25874) |
PSS006683| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (L) | — | — | R²: 0.15481 [0.14655, 0.16306] Incremental R2 (full-covars): 0.00283 PGS R2 (no covariates): 0.00228 [0.0011, 0.00347] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006838 | PGS001601 (GBE_INI25874) |
PSS006684| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (L) | — | — | R²: 0.11594 [0.10261, 0.12927] Incremental R2 (full-covars): 0.00691 PGS R2 (no covariates): 0.00948 [0.00521, 0.01375] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006839 | PGS001601 (GBE_INI25874) |
PSS006685| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (L) | — | — | R²: 0.07446 [0.07065, 0.07827] Incremental R2 (full-covars): 0.00905 PGS R2 (no covariates): 0.00965 [0.00818, 0.01112] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006840 | PGS001602 (GBE_INI25875) |
PSS006686| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (R) | — | — | R²: 0.15718 [0.14094, 0.17342] Incremental R2 (full-covars): 0.0142 PGS R2 (no covariates): 0.01358 [0.00799, 0.01917] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006841 | PGS001602 (GBE_INI25875) |
PSS006687| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (R) | — | — | R²: 0.1448 [0.11396, 0.17563] Incremental R2 (full-covars): -0.01922 PGS R2 (no covariates): 0.01943 [0.00648, 0.03238] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006842 | PGS001602 (GBE_INI25875) |
PSS006688| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (R) | — | — | R²: 0.15399 [0.14575, 0.16224] Incremental R2 (full-covars): -0.00041 PGS R2 (no covariates): 0.00128 [0.00039, 0.00216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006843 | PGS001602 (GBE_INI25875) |
PSS006689| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (R) | — | — | R²: 0.14505 [0.13063, 0.15946] Incremental R2 (full-covars): 0.01122 PGS R2 (no covariates): 0.01255 [0.00765, 0.01744] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006844 | PGS001602 (GBE_INI25875) |
PSS006690| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Supracalcarine Cortex (R) | — | — | R²: 0.08449 [0.08047, 0.0885] Incremental R2 (full-covars): 0.01016 PGS R2 (no covariates): 0.01074 [0.00919, 0.01228] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006775 | PGS001603 (GBE_INI25854) |
PSS006616| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, anterior division (L) | — | — | R²: 0.18745 [0.17035, 0.20455] Incremental R2 (full-covars): 0.01004 PGS R2 (no covariates): 0.00732 [0.00319, 0.01145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006776 | PGS001603 (GBE_INI25854) |
PSS006617| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, anterior division (L) | — | — | R²: 0.18256 [0.14946, 0.21566] Incremental R2 (full-covars): -0.01287 PGS R2 (no covariates): 0.00539 [-0.00153, 0.01232] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006777 | PGS001603 (GBE_INI25854) |
PSS006618| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, anterior division (L) | — | — | R²: 0.17172 [0.16319, 0.18024] Incremental R2 (full-covars): 0.00284 PGS R2 (no covariates): 0.00387 [0.00233, 0.00541] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006778 | PGS001603 (GBE_INI25854) |
PSS006619| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, anterior division (L) | — | — | R²: 0.19672 [0.18095, 0.2125] Incremental R2 (full-covars): -2e-05 PGS R2 (no covariates): 0.0003 [-0.00047, 0.00106] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006779 | PGS001603 (GBE_INI25854) |
PSS006620| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, anterior division (L) | — | — | R²: 0.16323 [0.15813, 0.16834] Incremental R2 (full-covars): 0.00507 PGS R2 (no covariates): 0.00554 [0.00442, 0.00665] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006780 | PGS001604 (GBE_INI25856) |
PSS006621| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (L) | — | — | R²: 0.1999 [0.18251, 0.21729] Incremental R2 (full-covars): 0.00199 PGS R2 (no covariates): 0.0014 [-0.00042, 0.00322] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006781 | PGS001604 (GBE_INI25856) |
PSS006622| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (L) | — | — | R²: 0.25745 [0.22175, 0.29316] Incremental R2 (full-covars): -0.00965 PGS R2 (no covariates): 5e-05 [-0.00061, 0.0007] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006782 | PGS001604 (GBE_INI25856) |
PSS006623| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (L) | — | — | R²: 0.25532 [0.24598, 0.26467] Incremental R2 (full-covars): 0.01348 PGS R2 (no covariates): 0.01087 [0.00831, 0.01343] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006783 | PGS001604 (GBE_INI25856) |
PSS006624| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (L) | — | — | R²: 0.24123 [0.22473, 0.25773] Incremental R2 (full-covars): -0.0026 PGS R2 (no covariates): 0.00704 [0.00335, 0.01072] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006784 | PGS001604 (GBE_INI25856) |
PSS006625| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (L) | — | — | R²: 0.20043 [0.19503, 0.20584] Incremental R2 (full-covars): 0.01355 PGS R2 (no covariates): 0.01296 [0.01126, 0.01466] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006785 | PGS001605 (GBE_INI25857) |
PSS006626| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (R) | — | — | R²: 0.27894 [0.26043, 0.29745] Incremental R2 (full-covars): -0.00119 PGS R2 (no covariates): 0.00273 [0.0002, 0.00526] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006786 | PGS001605 (GBE_INI25857) |
PSS006627| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (R) | — | — | R²: 0.30667 [0.27029, 0.34306] Incremental R2 (full-covars): -0.02009 PGS R2 (no covariates): 0.00562 [-0.00144, 0.01269] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006787 | PGS001605 (GBE_INI25857) |
PSS006628| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (R) | — | — | R²: 0.22454 [0.21541, 0.23367] Incremental R2 (full-covars): 0.00755 PGS R2 (no covariates): 0.00857 [0.00629, 0.01085] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006788 | PGS001605 (GBE_INI25857) |
PSS006629| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (R) | — | — | R²: 0.2105 [0.19446, 0.22654] Incremental R2 (full-covars): -0.01489 PGS R2 (no covariates): 0.00038 [-0.00048, 0.00124] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006789 | PGS001605 (GBE_INI25857) |
PSS006630| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Fusiform Cortex, posterior division (R) | — | — | R²: 0.17137 [0.16619, 0.17655] Incremental R2 (full-covars): 0.00544 PGS R2 (no covariates): 0.00684 [0.0056, 0.00808] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006655 | PGS001606 (GBE_INI25796) |
PSS006491| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (L) | — | — | R²: 0.23575 [0.21772, 0.25379] Incremental R2 (full-covars): -0.04345 PGS R2 (no covariates): 0.04795 [0.03782, 0.05808] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006656 | PGS001606 (GBE_INI25796) |
PSS006492| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (L) | — | — | R²: 0.22493 [0.19009, 0.25976] Incremental R2 (full-covars): -0.00347 PGS R2 (no covariates): 0.00029 [-0.00133, 0.00191] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006657 | PGS001606 (GBE_INI25796) |
PSS006493| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (L) | — | — | R²: 0.22302 [0.21391, 0.23214] Incremental R2 (full-covars): 0.01085 PGS R2 (no covariates): 0.00935 [0.00697, 0.01173] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006658 | PGS001606 (GBE_INI25796) |
PSS006494| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (L) | — | — | R²: 0.28945 [0.27252, 0.30637] Incremental R2 (full-covars): 0.01236 PGS R2 (no covariates): 0.01956 [0.01349, 0.02563] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006659 | PGS001606 (GBE_INI25796) |
PSS006495| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (L) | — | — | R²: 0.20393 [0.1985, 0.20936] Incremental R2 (full-covars): 0.006 PGS R2 (no covariates): 0.00654 [0.00533, 0.00775] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006660 | PGS001607 (GBE_INI25797) |
PSS006496| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (R) | — | — | R²: 0.29367 [0.27506, 0.31227] Incremental R2 (full-covars): -0.0006 PGS R2 (no covariates): 0.00034 [-0.00055, 0.00123] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006661 | PGS001607 (GBE_INI25797) |
PSS006497| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (R) | — | — | R²: 0.27711 [0.24105, 0.31318] Incremental R2 (full-covars): -0.00498 PGS R2 (no covariates): 0.00265 [-0.00222, 0.00751] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006662 | PGS001607 (GBE_INI25797) |
PSS006498| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (R) | — | — | R²: 0.18563 [0.17692, 0.19434] Incremental R2 (full-covars): 0.00586 PGS R2 (no covariates): 0.00421 [0.0026, 0.00581] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006663 | PGS001607 (GBE_INI25797) |
PSS006499| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (R) | — | — | R²: 0.20415 [0.18823, 0.22007] Incremental R2 (full-covars): 0.00593 PGS R2 (no covariates): 0.00289 [0.00052, 0.00526] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006664 | PGS001607 (GBE_INI25797) |
PSS006500| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Temporal Pole (R) | — | — | R²: 0.18629 [0.18099, 0.19159] Incremental R2 (full-covars): 0.00858 PGS R2 (no covariates): 0.00866 [0.00726, 0.01005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006850 | PGS001608 (GBE_INI25878) |
PSS006696| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (L) | — | — | R²: 0.09263 [0.0792, 0.10605] Incremental R2 (full-covars): -0.00691 PGS R2 (no covariates): 0.0052 [0.00172, 0.00869] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006851 | PGS001608 (GBE_INI25878) |
PSS006697| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (L) | — | — | R²: 0.15458 [0.12308, 0.18608] Incremental R2 (full-covars): 0.01544 PGS R2 (no covariates): 0.03965 [0.02153, 0.05777] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006852 | PGS001608 (GBE_INI25878) |
PSS006698| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (L) | — | — | R²: 0.13417 [0.12629, 0.14204] Incremental R2 (full-covars): 0.02068 PGS R2 (no covariates): 0.02107 [0.01754, 0.0246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006853 | PGS001608 (GBE_INI25878) |
PSS006699| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (L) | — | — | R²: 0.15843 [0.1436, 0.17326] Incremental R2 (full-covars): 0.01083 PGS R2 (no covariates): 0.0111 [0.00649, 0.01572] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006854 | PGS001608 (GBE_INI25878) |
PSS006700| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (L) | — | — | R²: 0.10831 [0.10388, 0.11274] Incremental R2 (full-covars): 0.0206 PGS R2 (no covariates): 0.02403 [0.02175, 0.02631] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006855 | PGS001609 (GBE_INI25879) |
PSS006701| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (R) | — | — | R²: 0.09388 [0.08039, 0.10738] Incremental R2 (full-covars): -0.00765 PGS R2 (no covariates): 0.00056 [-0.00059, 0.0017] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006856 | PGS001609 (GBE_INI25879) |
PSS006702| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (R) | — | — | R²: 0.16758 [0.13529, 0.19987] Incremental R2 (full-covars): -0.00803 PGS R2 (no covariates): 0.0026 [-0.00222, 0.00742] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006857 | PGS001609 (GBE_INI25879) |
PSS006703| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (R) | — | — | R²: 0.16695 [0.1585, 0.1754] Incremental R2 (full-covars): 0.02632 PGS R2 (no covariates): 0.02776 [0.02374, 0.03179] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006858 | PGS001609 (GBE_INI25879) |
PSS006704| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (R) | — | — | R²: 0.17686 [0.16153, 0.19219] Incremental R2 (full-covars): 0.0065 PGS R2 (no covariates): 0.00587 [0.0025, 0.00924] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006859 | PGS001609 (GBE_INI25879) |
PSS006705| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Thalamus (R) | — | — | R²: 0.12685 [0.12215, 0.13154] Incremental R2 (full-covars): 0.01832 PGS R2 (no covariates): 0.01981 [0.01773, 0.0219] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006910 | PGS001610 (GBE_INI25895) |
PSS006756| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (L) | — | — | R²: 0.24231 [0.22418, 0.26044] Incremental R2 (full-covars): -0.00289 PGS R2 (no covariates): 0.0068 [0.00282, 0.01079] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006911 | PGS001610 (GBE_INI25895) |
PSS006757| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (L) | — | — | R²: 0.13474 [0.10464, 0.16484] Incremental R2 (full-covars): 0.03011 PGS R2 (no covariates): 0.03036 [0.01435, 0.04637] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006912 | PGS001610 (GBE_INI25895) |
PSS006758| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (L) | — | — | R²: 0.13449 [0.12661, 0.14237] Incremental R2 (full-covars): 0.01233 PGS R2 (no covariates): 0.01406 [0.01116, 0.01697] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006913 | PGS001610 (GBE_INI25895) |
PSS006759| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (L) | — | — | R²: 0.23665 [0.22021, 0.25309] Incremental R2 (full-covars): 0.01198 PGS R2 (no covariates): 0.01474 [0.00945, 0.02004] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006914 | PGS001610 (GBE_INI25895) |
PSS006760| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (L) | — | — | R²: 0.13424 [0.12945, 0.13903] Incremental R2 (full-covars): 0.01519 PGS R2 (no covariates): 0.01527 [0.01343, 0.01711] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006915 | PGS001611 (GBE_INI25896) |
PSS006761| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (R) | — | — | R²: 0.20632 [0.18879, 0.22384] Incremental R2 (full-covars): -0.00643 PGS R2 (no covariates): 0.00068 [-0.00059, 0.00195] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006916 | PGS001611 (GBE_INI25896) |
PSS006762| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (R) | — | — | R²: 0.13142 [0.10158, 0.16126] Incremental R2 (full-covars): 0.00521 PGS R2 (no covariates): 0.00585 [-0.00136, 0.01306] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006917 | PGS001611 (GBE_INI25896) |
PSS006763| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (R) | — | — | R²: 0.15052 [0.14233, 0.1587] Incremental R2 (full-covars): 0.01075 PGS R2 (no covariates): 0.01757 [0.01433, 0.0208] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006918 | PGS001611 (GBE_INI25896) |
PSS006764| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (R) | — | — | R²: 0.22403 [0.20777, 0.24029] Incremental R2 (full-covars): 0.0049 PGS R2 (no covariates): 0.0096 [0.0053, 0.0139] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006919 | PGS001611 (GBE_INI25896) |
PSS006765| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in V Cerebellum (R) | — | — | R²: 0.12846 [0.12374, 0.13318] Incremental R2 (full-covars): 0.00801 PGS R2 (no covariates): 0.01164 [0.01003, 0.01325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006885 | PGS001612 (GBE_INI25890) |
PSS006731| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (L) | — | — | R²: 0.2608 [0.24245, 0.27915] Incremental R2 (full-covars): -0.01214 PGS R2 (no covariates): 0.00039 [-0.00057, 0.00134] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006886 | PGS001612 (GBE_INI25890) |
PSS006732| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (L) | — | — | R²: 0.20677 [0.17259, 0.24095] Incremental R2 (full-covars): 0.00266 PGS R2 (no covariates): 0.01434 [0.00316, 0.02553] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006887 | PGS001612 (GBE_INI25890) |
PSS006733| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (L) | — | — | R²: 0.26687 [0.25747, 0.27628] Incremental R2 (full-covars): 0.03668 PGS R2 (no covariates): 0.05084 [0.04553, 0.05616] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006888 | PGS001612 (GBE_INI25890) |
PSS006734| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (L) | — | — | R²: 0.32157 [0.30453, 0.3386] Incremental R2 (full-covars): 0.00928 PGS R2 (no covariates): 0.01282 [0.00787, 0.01777] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006889 | PGS001612 (GBE_INI25890) |
PSS006735| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (L) | — | — | R²: 0.22242 [0.21689, 0.22796] Incremental R2 (full-covars): 0.04253 PGS R2 (no covariates): 0.05074 [0.04752, 0.05397] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006890 | PGS001613 (GBE_INI25891) |
PSS006736| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (R) | — | — | R²: 0.26163 [0.24327, 0.27998] Incremental R2 (full-covars): -0.00644 PGS R2 (no covariates): 0.00126 [-0.00046, 0.00299] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006891 | PGS001613 (GBE_INI25891) |
PSS006737| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (R) | — | — | R²: 0.18937 [0.15594, 0.2228] Incremental R2 (full-covars): -0.00711 PGS R2 (no covariates): 0.00011 [-0.00088, 0.00109] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006892 | PGS001613 (GBE_INI25891) |
PSS006738| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (R) | — | — | R²: 0.23397 [0.22477, 0.24317] Incremental R2 (full-covars): 0.02216 PGS R2 (no covariates): 0.03062 [0.0264, 0.03483] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006893 | PGS001613 (GBE_INI25891) |
PSS006739| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (R) | — | — | R²: 0.29234 [0.2754, 0.30928] Incremental R2 (full-covars): 0.00783 PGS R2 (no covariates): 0.01303 [0.00805, 0.01802] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006894 | PGS001613 (GBE_INI25891) |
PSS006740| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Ventral Striatum (R) | — | — | R²: 0.19906 [0.19367, 0.20446] Incremental R2 (full-covars): 0.02828 PGS R2 (no covariates): 0.03711 [0.03431, 0.03991] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006945 | PGS001614 (GBE_INI25904) |
PSS006791| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis Crus II Cerebellum | — | — | R²: 0.0717 [0.05962, 0.08378] Incremental R2 (full-covars): -0.00729 PGS R2 (no covariates): 0.00017 [-0.00047, 0.00082] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006946 | PGS001614 (GBE_INI25904) |
PSS006792| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis Crus II Cerebellum | — | — | R²: 0.1026 [0.07536, 0.12984] Incremental R2 (full-covars): 0.02378 PGS R2 (no covariates): 0.01389 [0.00288, 0.02491] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006947 | PGS001614 (GBE_INI25904) |
PSS006793| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis Crus II Cerebellum | — | — | R²: 0.05594 [0.0504, 0.06149] Incremental R2 (full-covars): 0.02671 PGS R2 (no covariates): 0.02736 [0.02336, 0.03135] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006948 | PGS001614 (GBE_INI25904) |
PSS006794| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis Crus II Cerebellum | — | — | R²: 0.08177 [0.07014, 0.0934] Incremental R2 (full-covars): 0.02391 PGS R2 (no covariates): 0.03037 [0.02289, 0.03785] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006949 | PGS001614 (GBE_INI25904) |
PSS006795| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis Crus II Cerebellum | — | — | R²: 0.05335 [0.05004, 0.05665] Incremental R2 (full-covars): 0.02574 PGS R2 (no covariates): 0.02674 [0.02434, 0.02915] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007005 | PGS001615 (GBE_INI25916) |
PSS006851| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis IX Cerebellum | — | — | R²: 0.01538 [0.00945, 0.02132] Incremental R2 (full-covars): -0.02201 PGS R2 (no covariates): 0.00479 [0.00144, 0.00814] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007006 | PGS001615 (GBE_INI25916) |
PSS006852| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis IX Cerebellum | — | — | R²: 0.11758 [0.08891, 0.14626] Incremental R2 (full-covars): 0.03889 PGS R2 (no covariates): 0.07135 [0.04785, 0.09486] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007007 | PGS001615 (GBE_INI25916) |
PSS006853| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis IX Cerebellum | — | — | R²: 0.07509 [0.0688, 0.08139] Incremental R2 (full-covars): 0.0344 PGS R2 (no covariates): 0.03579 [0.03126, 0.04033] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007008 | PGS001615 (GBE_INI25916) |
PSS006854| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis IX Cerebellum | — | — | R²: 0.07012 [0.05922, 0.08103] Incremental R2 (full-covars): 0.00564 PGS R2 (no covariates): 0.01077 [0.00622, 0.01531] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007009 | PGS001615 (GBE_INI25916) |
PSS006855| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis IX Cerebellum | — | — | R²: 0.06547 [0.06186, 0.06908] Incremental R2 (full-covars): 0.03369 PGS R2 (no covariates): 0.03463 [0.03192, 0.03734] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006925 | PGS001616 (GBE_INI25898) |
PSS006771| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VI Cerebellum | — | — | R²: 0.0723 [0.06018, 0.08442] Incremental R2 (full-covars): -0.0131 PGS R2 (no covariates): 0.00078 [-0.00058, 0.00214] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006926 | PGS001616 (GBE_INI25898) |
PSS006772| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VI Cerebellum | — | — | R²: 0.13365 [0.10364, 0.16366] Incremental R2 (full-covars): 0.00451 PGS R2 (no covariates): 0.00472 [-0.00176, 0.01119] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006927 | PGS001616 (GBE_INI25898) |
PSS006773| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VI Cerebellum | — | — | R²: 0.10019 [0.09312, 0.10726] Incremental R2 (full-covars): 0.01907 PGS R2 (no covariates): 0.0223 [0.01867, 0.02592] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006928 | PGS001616 (GBE_INI25898) |
PSS006774| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VI Cerebellum | — | — | R²: 0.14226 [0.12794, 0.15659] Incremental R2 (full-covars): 0.01099 PGS R2 (no covariates): 0.00965 [0.00534, 0.01396] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006929 | PGS001616 (GBE_INI25898) |
PSS006775| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VI Cerebellum | — | — | R²: 0.08996 [0.08584, 0.09408] Incremental R2 (full-covars): 0.02376 PGS R2 (no covariates): 0.02709 [0.02467, 0.02951] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006960 | PGS001617 (GBE_INI25907) |
PSS006806| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIb Cerebellum | — | — | R²: 0.05257 [0.04201, 0.06313] Incremental R2 (full-covars): -0.01563 PGS R2 (no covariates): 0.00479 [0.00144, 0.00814] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006961 | PGS001617 (GBE_INI25907) |
PSS006807| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIb Cerebellum | — | — | R²: 0.14365 [0.11289, 0.1744] Incremental R2 (full-covars): 0.01006 PGS R2 (no covariates): 0.02353 [0.00933, 0.03772] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006962 | PGS001617 (GBE_INI25907) |
PSS006808| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIb Cerebellum | — | — | R²: 0.06816 [0.06212, 0.0742] Incremental R2 (full-covars): 0.00681 PGS R2 (no covariates): 0.00835 [0.0061, 0.0106] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006963 | PGS001617 (GBE_INI25907) |
PSS006809| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIb Cerebellum | — | — | R²: 0.11287 [0.09968, 0.12607] Incremental R2 (full-covars): 0.01432 PGS R2 (no covariates): 0.01741 [0.01167, 0.02315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006964 | PGS001617 (GBE_INI25907) |
PSS006810| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIb Cerebellum | — | — | R²: 0.07899 [0.07508, 0.0829] Incremental R2 (full-covars): 0.01972 PGS R2 (no covariates): 0.02228 [0.02007, 0.02448] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006975 | PGS001618 (GBE_INI25910) |
PSS006821| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIa Cerebellum | — | — | R²: 0.07034 [0.05836, 0.08233] Incremental R2 (full-covars): 0.00212 PGS R2 (no covariates): 0.00555 [0.00195, 0.00916] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006976 | PGS001618 (GBE_INI25910) |
PSS006822| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIa Cerebellum | — | — | R²: 0.14293 [0.11222, 0.17363] Incremental R2 (full-covars): 0.02695 PGS R2 (no covariates): 0.05713 [0.03578, 0.07849] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006977 | PGS001618 (GBE_INI25910) |
PSS006823| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIa Cerebellum | — | — | R²: 0.10575 [0.09853, 0.11297] Incremental R2 (full-covars): 0.01447 PGS R2 (no covariates): 0.01213 [0.00943, 0.01483] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006978 | PGS001618 (GBE_INI25910) |
PSS006824| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIa Cerebellum | — | — | R²: 0.13253 [0.11855, 0.14651] Incremental R2 (full-covars): 0.00741 PGS R2 (no covariates): 0.00825 [0.00426, 0.01224] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006979 | PGS001618 (GBE_INI25910) |
PSS006825| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIa Cerebellum | — | — | R²: 0.11553 [0.11099, 0.12007] Incremental R2 (full-covars): 0.03101 PGS R2 (no covariates): 0.03459 [0.03188, 0.0373] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006990 | PGS001619 (GBE_INI25913) |
PSS006836| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIb Cerebellum | — | — | R²: 0.02549 [0.01793, 0.03305] Incremental R2 (full-covars): -0.01502 PGS R2 (no covariates): 0.00026 [-0.00052, 0.00104] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006991 | PGS001619 (GBE_INI25913) |
PSS006837| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIb Cerebellum | — | — | R²: 0.16952 [0.13711, 0.20192] Incremental R2 (full-covars): 0.02831 PGS R2 (no covariates): 0.03986 [0.02169, 0.05802] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006992 | PGS001619 (GBE_INI25913) |
PSS006838| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIb Cerebellum | — | — | R²: 0.10702 [0.09977, 0.11428] Incremental R2 (full-covars): 0.02623 PGS R2 (no covariates): 0.0274 [0.0234, 0.03139] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006993 | PGS001619 (GBE_INI25913) |
PSS006839| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIb Cerebellum | — | — | R²: 0.10293 [0.09019, 0.11567] Incremental R2 (full-covars): 0.00146 PGS R2 (no covariates): 0.00347 [0.00087, 0.00606] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006994 | PGS001619 (GBE_INI25913) |
PSS006840| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis VIIIb Cerebellum | — | — | R²: 0.10046 [0.09615, 0.10476] Incremental R2 (full-covars): 0.0372 PGS R2 (no covariates): 0.03883 [0.03597, 0.04169] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007015 | PGS001620 (GBE_INI25919) |
PSS006861| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis X Cerebellum | — | — | R²: 0.09591 [0.0823, 0.10952] Incremental R2 (full-covars): -4e-05 PGS R2 (no covariates): 0.0009 [-0.00056, 0.00235] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007016 | PGS001620 (GBE_INI25919) |
PSS006862| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis X Cerebellum | — | — | R²: 0.19766 [0.16386, 0.23146] Incremental R2 (full-covars): 0.00328 PGS R2 (no covariates): 0.00228 [-0.00223, 0.00679] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007017 | PGS001620 (GBE_INI25919) |
PSS006863| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis X Cerebellum | — | — | R²: 0.08138 [0.07487, 0.08789] Incremental R2 (full-covars): 0.01061 PGS R2 (no covariates): 0.01406 [0.01115, 0.01696] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007018 | PGS001620 (GBE_INI25919) |
PSS006864| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis X Cerebellum | — | — | R²: 0.09876 [0.08622, 0.1113] Incremental R2 (full-covars): -0.00928 PGS R2 (no covariates): 1e-05 [-0.00015, 0.00018] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007019 | PGS001620 (GBE_INI25919) |
PSS006865| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Vermis X Cerebellum | — | — | R²: 0.07537 [0.07154, 0.07921] Incremental R2 (full-covars): 0.01719 PGS R2 (no covariates): 0.01793 [0.01595, 0.01992] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006920 | PGS001621 (GBE_INI25897) |
PSS006766| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (L) | — | — | R²: 0.14807 [0.13214, 0.164] Incremental R2 (full-covars): -0.02995 PGS R2 (no covariates): 0.01298 [0.00751, 0.01844] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006921 | PGS001621 (GBE_INI25897) |
PSS006767| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (L) | — | — | R²: 0.18507 [0.15185, 0.2183] Incremental R2 (full-covars): 0.00499 PGS R2 (no covariates): 0.01486 [0.00348, 0.02624] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006922 | PGS001621 (GBE_INI25897) |
PSS006768| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (L) | — | — | R²: 0.18242 [0.17375, 0.19109] Incremental R2 (full-covars): 0.00528 PGS R2 (no covariates): 0.00649 [0.0045, 0.00848] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006923 | PGS001621 (GBE_INI25897) |
PSS006769| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (L) | — | — | R²: 0.22239 [0.20615, 0.23862] Incremental R2 (full-covars): 0.00023 PGS R2 (no covariates): 0.00372 [0.00103, 0.00642] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006924 | PGS001621 (GBE_INI25897) |
PSS006770| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (L) | — | — | R²: 0.18382 [0.17854, 0.1891] Incremental R2 (full-covars): 0.01839 PGS R2 (no covariates): 0.02034 [0.01823, 0.02245] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006930 | PGS001622 (GBE_INI25899) |
PSS006776| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (R) | — | — | R²: 0.18663 [0.16955, 0.20371] Incremental R2 (full-covars): -0.01115 PGS R2 (no covariates): 0.00068 [-0.00059, 0.00195] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006931 | PGS001622 (GBE_INI25899) |
PSS006777| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (R) | — | — | R²: 0.19036 [0.15688, 0.22384] Incremental R2 (full-covars): 0.01477 PGS R2 (no covariates): 0.02808 [0.01265, 0.04352] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006932 | PGS001622 (GBE_INI25899) |
PSS006778| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (R) | — | — | R²: 0.19167 [0.18288, 0.20046] Incremental R2 (full-covars): 0.00907 PGS R2 (no covariates): 0.0116 [0.00896, 0.01425] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006933 | PGS001622 (GBE_INI25899) |
PSS006779| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (R) | — | — | R²: 0.23109 [0.21472, 0.24745] Incremental R2 (full-covars): 0.00129 PGS R2 (no covariates): 0.00347 [0.00087, 0.00607] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006934 | PGS001622 (GBE_INI25899) |
PSS006780| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VI Cerebellum (R) | — | — | R²: 0.1805 [0.17524, 0.18575] Incremental R2 (full-covars): 0.01628 PGS R2 (no covariates): 0.01936 [0.01731, 0.02142] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006955 | PGS001623 (GBE_INI25906) |
PSS006801| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (L) | — | — | R²: 0.09249 [0.07907, 0.1059] Incremental R2 (full-covars): 0.00067 PGS R2 (no covariates): 0.00258 [0.00012, 0.00505] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006956 | PGS001623 (GBE_INI25906) |
PSS006802| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (L) | — | — | R²: 0.16632 [0.1341, 0.19854] Incremental R2 (full-covars): 0.01312 PGS R2 (no covariates): 0.03544 [0.01823, 0.05265] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006957 | PGS001623 (GBE_INI25906) |
PSS006803| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (L) | — | — | R²: 0.13722 [0.12928, 0.14515] Incremental R2 (full-covars): 0.01371 PGS R2 (no covariates): 0.01645 [0.01332, 0.01958] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006958 | PGS001623 (GBE_INI25906) |
PSS006804| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (L) | — | — | R²: 0.15437 [0.13966, 0.16908] Incremental R2 (full-covars): 0.00446 PGS R2 (no covariates): 0.00843 [0.0044, 0.01247] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006959 | PGS001623 (GBE_INI25906) |
PSS006805| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (L) | — | — | R²: 0.11622 [0.11167, 0.12077] Incremental R2 (full-covars): 0.01836 PGS R2 (no covariates): 0.01927 [0.01721, 0.02132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006965 | PGS001624 (GBE_INI25908) |
PSS006811| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (R) | — | — | R²: 0.05955 [0.04839, 0.0707] Incremental R2 (full-covars): -0.00382 PGS R2 (no covariates): 0.00101 [-0.00053, 0.00255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006966 | PGS001624 (GBE_INI25908) |
PSS006812| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (R) | — | — | R²: 0.20623 [0.17207, 0.24039] Incremental R2 (full-covars): 0.01192 PGS R2 (no covariates): 0.0328 [0.0162, 0.0494] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006967 | PGS001624 (GBE_INI25908) |
PSS006813| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (R) | — | — | R²: 0.13728 [0.12934, 0.14522] Incremental R2 (full-covars): 0.01895 PGS R2 (no covariates): 0.02497 [0.02114, 0.02879] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006968 | PGS001624 (GBE_INI25908) |
PSS006814| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (R) | — | — | R²: 0.16752 [0.15243, 0.1826] Incremental R2 (full-covars): 0.00365 PGS R2 (no covariates): 0.00593 [0.00254, 0.00932] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006969 | PGS001624 (GBE_INI25908) |
PSS006815| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIb Cerebellum (R) | — | — | R²: 0.11712 [0.11256, 0.12168] Incremental R2 (full-covars): 0.02003 PGS R2 (no covariates): 0.02007 [0.01797, 0.02216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006970 | PGS001625 (GBE_INI25909) |
PSS006816| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (L) | — | — | R²: 0.08077 [0.06807, 0.09346] Incremental R2 (full-covars): 0.00075 PGS R2 (no covariates): 0.00308 [0.00039, 0.00576] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006971 | PGS001625 (GBE_INI25909) |
PSS006817| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (L) | — | — | R²: 0.11803 [0.08932, 0.14675] Incremental R2 (full-covars): -0.00216 PGS R2 (no covariates): 0.01017 [0.00071, 0.01963] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006972 | PGS001625 (GBE_INI25909) |
PSS006818| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (L) | — | — | R²: 0.1531 [0.14487, 0.16133] Incremental R2 (full-covars): 0.01254 PGS R2 (no covariates): 0.0139 [0.01101, 0.01678] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006973 | PGS001625 (GBE_INI25909) |
PSS006819| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (L) | — | — | R²: 0.16698 [0.15191, 0.18206] Incremental R2 (full-covars): -0.00269 PGS R2 (no covariates): 0.00063 [-0.00048, 0.00175] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006974 | PGS001625 (GBE_INI25909) |
PSS006820| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (L) | — | — | R²: 0.12505 [0.12037, 0.12972] Incremental R2 (full-covars): 0.01556 PGS R2 (no covariates): 0.0163 [0.01441, 0.0182] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006980 | PGS001626 (GBE_INI25911) |
PSS006826| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (R) | — | — | R²: 0.03365 [0.02503, 0.04227] Incremental R2 (full-covars): -0.00975 PGS R2 (no covariates): 0.00024 [-0.00051, 0.001] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006981 | PGS001626 (GBE_INI25911) |
PSS006827| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (R) | — | — | R²: 0.1552 [0.12366, 0.18674] Incremental R2 (full-covars): -0.00283 PGS R2 (no covariates): 0.0097 [0.00046, 0.01895] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006982 | PGS001626 (GBE_INI25911) |
PSS006828| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (R) | — | — | R²: 0.1229 [0.11526, 0.13053] Incremental R2 (full-covars): 0.00953 PGS R2 (no covariates): 0.01034 [0.00784, 0.01284] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006983 | PGS001626 (GBE_INI25911) |
PSS006829| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (R) | — | — | R²: 0.13061 [0.1167, 0.14452] Incremental R2 (full-covars): -0.00371 PGS R2 (no covariates): 0.00232 [0.00019, 0.00445] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006984 | PGS001626 (GBE_INI25911) |
PSS006830| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIa Cerebellum (R) | — | — | R²: 0.10828 [0.10385, 0.11271] Incremental R2 (full-covars): 0.01285 PGS R2 (no covariates): 0.01249 [0.01082, 0.01415] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006985 | PGS001627 (GBE_INI25912) |
PSS006831| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (L) | — | — | R²: 0.10963 [0.0953, 0.12396] Incremental R2 (full-covars): 0.00406 PGS R2 (no covariates): 0.00211 [-0.00012, 0.00433] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006986 | PGS001627 (GBE_INI25912) |
PSS006832| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (L) | — | — | R²: 0.04484 [0.02567, 0.06401] Incremental R2 (full-covars): -0.02009 PGS R2 (no covariates): 0.00446 [-0.00184, 0.01076] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006987 | PGS001627 (GBE_INI25912) |
PSS006833| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (L) | — | — | R²: 0.1154 [0.10793, 0.12286] Incremental R2 (full-covars): 0.01183 PGS R2 (no covariates): 0.01326 [0.01044, 0.01608] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006988 | PGS001627 (GBE_INI25912) |
PSS006834| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (L) | — | — | R²: 0.10636 [0.09345, 0.11926] Incremental R2 (full-covars): -0.01434 PGS R2 (no covariates): 0.00086 [-0.00044, 0.00216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006989 | PGS001627 (GBE_INI25912) |
PSS006835| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (L) | — | — | R²: 0.09461 [0.09041, 0.09882] Incremental R2 (full-covars): 0.01744 PGS R2 (no covariates): 0.01832 [0.01631, 0.02032] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006995 | PGS001628 (GBE_INI25914) |
PSS006841| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (R) | — | — | R²: 0.07068 [0.05867, 0.08269] Incremental R2 (full-covars): 0.01021 PGS R2 (no covariates): 0.01365 [0.00805, 0.01926] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006996 | PGS001628 (GBE_INI25914) |
PSS006842| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (R) | — | — | R²: 0.0834 [0.05831, 0.10848] Incremental R2 (full-covars): -0.00538 PGS R2 (no covariates): 0.00579 [-0.00138, 0.01296] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006997 | PGS001628 (GBE_INI25914) |
PSS006843| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (R) | — | — | R²: 0.11119 [0.10383, 0.11855] Incremental R2 (full-covars): 0.01234 PGS R2 (no covariates): 0.01751 [0.01428, 0.02074] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006998 | PGS001628 (GBE_INI25914) |
PSS006844| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (R) | — | — | R²: 0.07689 [0.06556, 0.08822] Incremental R2 (full-covars): -0.02573 PGS R2 (no covariates): 0.00177 [-0.00009, 0.00363] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006999 | PGS001628 (GBE_INI25914) |
PSS006845| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in VIIIb Cerebellum (R) | — | — | R²: 0.08241 [0.07843, 0.08639] Incremental R2 (full-covars): 0.01293 PGS R2 (no covariates): 0.01419 [0.01242, 0.01596] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007020 | PGS001629 (GBE_INI25920) |
PSS006866| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in X Cerebellum (R) | — | — | R²: 0.14155 [0.12585, 0.15725] Incremental R2 (full-covars): -0.02465 PGS R2 (no covariates): 0.01698 [0.01075, 0.0232] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007021 | PGS001629 (GBE_INI25920) |
PSS006867| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in X Cerebellum (R) | — | — | R²: 0.16493 [0.13279, 0.19707] Incremental R2 (full-covars): 0.02408 PGS R2 (no covariates): 0.03069 [0.0146, 0.04678] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007022 | PGS001629 (GBE_INI25920) |
PSS006868| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in X Cerebellum (R) | — | — | R²: 0.19977 [0.19089, 0.20865] Incremental R2 (full-covars): 0.00967 PGS R2 (no covariates): 0.0124 [0.00966, 0.01513] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007023 | PGS001629 (GBE_INI25920) |
PSS006869| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in X Cerebellum (R) | — | — | R²: 0.13103 [0.11711, 0.14496] Incremental R2 (full-covars): 0.00988 PGS R2 (no covariates): 0.01223 [0.00739, 0.01706] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007024 | PGS001629 (GBE_INI25920) |
PSS006870| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in X Cerebellum (R) | — | — | R²: 0.1501 [0.14513, 0.15507] Incremental R2 (full-covars): 0.0113 PGS R2 (no covariates): 0.01079 [0.00924, 0.01234] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005440 | PGS001630 (GBE_INI25019) |
PSS005276| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of hippocampus (L) | — | — | R²: 0.13049 [0.11522, 0.14576] Incremental R2 (full-covars): -0.00825 PGS R2 (no covariates): 0.0 [-0.00005, 0.00005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005441 | PGS001630 (GBE_INI25019) |
PSS005277| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of hippocampus (L) | — | — | R²: 0.26457 [0.22872, 0.30042] Incremental R2 (full-covars): 0.01199 PGS R2 (no covariates): 0.0194 [0.00646, 0.03235] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005442 | PGS001630 (GBE_INI25019) |
PSS005278| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of hippocampus (L) | — | — | R²: 0.14648 [0.13837, 0.1546] Incremental R2 (full-covars): 0.00716 PGS R2 (no covariates): 0.00755 [0.00541, 0.00969] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005443 | PGS001630 (GBE_INI25019) |
PSS005279| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of hippocampus (L) | — | — | R²: 0.2658 [0.24904, 0.28256] Incremental R2 (full-covars): 0.00259 PGS R2 (no covariates): 0.00435 [0.00144, 0.00725] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005444 | PGS001630 (GBE_INI25019) |
PSS005280| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of hippocampus (L) | — | — | R²: 0.11388 [0.10937, 0.11839] Incremental R2 (full-covars): 0.00801 PGS R2 (no covariates): 0.00917 [0.00774, 0.0106] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005431 | PGS001631 (GBE_INI25017) |
PSS005267| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (L) | — | — | R²: 0.07632 [0.05214, 0.1005] Incremental R2 (full-covars): -0.01186 PGS R2 (no covariates): 0.00144 [-0.00215, 0.00504] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005430 | PGS001631 (GBE_INI25017) |
PSS005266| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (L) | — | — | R²: 0.12265 [0.10771, 0.13758] Incremental R2 (full-covars): 0.00421 PGS R2 (no covariates): 0.00624 [0.00242, 0.01005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005432 | PGS001631 (GBE_INI25017) |
PSS005268| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (L) | — | — | R²: 0.13481 [0.12692, 0.1427] Incremental R2 (full-covars): 0.0246 PGS R2 (no covariates): 0.02469 [0.02088, 0.02849] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005433 | PGS001631 (GBE_INI25017) |
PSS005269| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (L) | — | — | R²: 0.19628 [0.18051, 0.21204] Incremental R2 (full-covars): 0.0148 PGS R2 (no covariates): 0.00627 [0.00278, 0.00975] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005434 | PGS001631 (GBE_INI25017) |
PSS005270| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (L) | — | — | R²: 0.12713 [0.12243, 0.13183] Incremental R2 (full-covars): 0.01655 PGS R2 (no covariates): 0.0196 [0.01753, 0.02167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005435 | PGS001632 (GBE_INI25018) |
PSS005271| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (R) | — | — | R²: 0.18922 [0.17207, 0.20636] Incremental R2 (full-covars): 0.00945 PGS R2 (no covariates): 0.01528 [0.00936, 0.0212] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005436 | PGS001632 (GBE_INI25018) |
PSS005272| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (R) | — | — | R²: 0.07787 [0.05348, 0.10225] Incremental R2 (full-covars): 0.016 PGS R2 (no covariates): 0.02811 [0.01267, 0.04356] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005437 | PGS001632 (GBE_INI25018) |
PSS005273| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (R) | — | — | R²: 0.15735 [0.14905, 0.16565] Incremental R2 (full-covars): 0.01102 PGS R2 (no covariates): 0.0135 [0.01065, 0.01634] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005438 | PGS001632 (GBE_INI25018) |
PSS005274| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (R) | — | — | R²: 0.22398 [0.20772, 0.24024] Incremental R2 (full-covars): 0.01069 PGS R2 (no covariates): 0.00504 [0.00191, 0.00816] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005439 | PGS001632 (GBE_INI25018) |
PSS005275| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of pallidum (R) | — | — | R²: 0.13349 [0.12871, 0.13827] Incremental R2 (full-covars): 0.01438 PGS R2 (no covariates): 0.01851 [0.01649, 0.02052] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005360 | PGS001633 (GBE_INI25002) |
PSS005191| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter | — | — | R²: 0.33449 [0.31578, 0.3532] Incremental R2 (full-covars): -0.01283 PGS R2 (no covariates): 0.00119 [-0.00048, 0.00287] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005361 | PGS001633 (GBE_INI25002) |
PSS005192| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter | — | — | R²: 0.38439 [0.34823, 0.42056] Incremental R2 (full-covars): 0.01941 PGS R2 (no covariates): 0.00515 [-0.00162, 0.01191] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005362 | PGS001633 (GBE_INI25002) |
PSS005193| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter | — | — | R²: 0.42226 [0.41294, 0.43158] Incremental R2 (full-covars): 0.01794 PGS R2 (no covariates): 0.01791 [0.01465, 0.02117] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005363 | PGS001633 (GBE_INI25002) |
PSS005194| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter | — | — | R²: 0.42283 [0.40621, 0.43944] Incremental R2 (full-covars): 0.02457 PGS R2 (no covariates): 0.01871 [0.01276, 0.02465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005364 | PGS001633 (GBE_INI25002) |
PSS005195| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter | — | — | R²: 0.3501 [0.34429, 0.3559] Incremental R2 (full-covars): 0.02644 PGS R2 (no covariates): 0.02767 [0.02522, 0.03011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005355 | PGS001634 (GBE_INI25001) |
PSS005186| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter (normalised for head size) | — | — | R²: 0.26623 [0.24782, 0.28463] Incremental R2 (full-covars): 0.00165 PGS R2 (no covariates): 0.00102 [-0.00053, 0.00258] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005356 | PGS001634 (GBE_INI25001) |
PSS005187| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter (normalised for head size) | — | — | R²: 0.4474 [0.41237, 0.48243] Incremental R2 (full-covars): 0.02133 PGS R2 (no covariates): 0.01659 [0.00459, 0.0286] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005357 | PGS001634 (GBE_INI25001) |
PSS005188| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter (normalised for head size) | — | — | R²: 0.43007 [0.42079, 0.43935] Incremental R2 (full-covars): 0.01379 PGS R2 (no covariates): 0.0122 [0.00949, 0.0149] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005358 | PGS001634 (GBE_INI25001) |
PSS005189| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter (normalised for head size) | — | — | R²: 0.38293 [0.36603, 0.39984] Incremental R2 (full-covars): 0.01262 PGS R2 (no covariates): 0.01815 [0.0123, 0.02401] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005359 | PGS001634 (GBE_INI25001) |
PSS005190| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of peripheral cortical grey matter (normalised for head size) | — | — | R²: 0.41055 [0.40485, 0.41625] Incremental R2 (full-covars): 0.00795 PGS R2 (no covariates): 0.00844 [0.00707, 0.00982] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005420 | PGS001635 (GBE_INI25015) |
PSS005256| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (L) | — | — | R²: 0.33965 [0.32095, 0.35836] Incremental R2 (full-covars): 0.00697 PGS R2 (no covariates): 0.00173 [-0.00029, 0.00375] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005421 | PGS001635 (GBE_INI25015) |
PSS005257| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (L) | — | — | R²: 0.30984 [0.27344, 0.34625] Incremental R2 (full-covars): -0.01626 PGS R2 (no covariates): 0.01874 [0.00601, 0.03146] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005422 | PGS001635 (GBE_INI25015) |
PSS005258| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (L) | — | — | R²: 0.31778 [0.30823, 0.32733] Incremental R2 (full-covars): 0.01379 PGS R2 (no covariates): 0.01037 [0.00787, 0.01288] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005423 | PGS001635 (GBE_INI25015) |
PSS005259| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (L) | — | — | R²: 0.36514 [0.34815, 0.38212] Incremental R2 (full-covars): 0.00063 PGS R2 (no covariates): 0.00157 [-0.00018, 0.00333] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005424 | PGS001635 (GBE_INI25015) |
PSS005260| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (L) | — | — | R²: 0.25509 [0.24941, 0.26077] Incremental R2 (full-covars): 0.01846 PGS R2 (no covariates): 0.0242 [0.0219, 0.02649] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005425 | PGS001636 (GBE_INI25016) |
PSS005261| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (R) | — | — | R²: 0.39088 [0.37237, 0.40939] Incremental R2 (full-covars): -0.01331 PGS R2 (no covariates): 0.00077 [-0.00058, 0.00213] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005426 | PGS001636 (GBE_INI25016) |
PSS005262| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (R) | — | — | R²: 0.21046 [0.17614, 0.24479] Incremental R2 (full-covars): 0.00709 PGS R2 (no covariates): 0.01057 [0.00093, 0.02021] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005427 | PGS001636 (GBE_INI25016) |
PSS005263| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (R) | — | — | R²: 0.306 [0.29646, 0.31553] Incremental R2 (full-covars): 0.01075 PGS R2 (no covariates): 0.00831 [0.00606, 0.01055] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005428 | PGS001636 (GBE_INI25016) |
PSS005264| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (R) | — | — | R²: 0.38833 [0.37146, 0.40521] Incremental R2 (full-covars): -0.02573 PGS R2 (no covariates): 1e-05 [-0.0001, 0.00011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005429 | PGS001636 (GBE_INI25016) |
PSS005265| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of putamen (R) | — | — | R²: 0.27752 [0.27178, 0.28327] Incremental R2 (full-covars): 0.02342 PGS R2 (no covariates): 0.02816 [0.0257, 0.03062] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005400 | PGS001637 (GBE_INI25011) |
PSS005236| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (L) | — | — | R²: 0.30406 [0.2854, 0.32271] Incremental R2 (full-covars): -0.02379 PGS R2 (no covariates): 0.01279 [0.00737, 0.01822] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005401 | PGS001637 (GBE_INI25011) |
PSS005237| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (L) | — | — | R²: 0.29336 [0.25709, 0.32963] Incremental R2 (full-covars): 0.01865 PGS R2 (no covariates): 0.02929 [0.01355, 0.04504] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005402 | PGS001637 (GBE_INI25011) |
PSS005238| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (L) | — | — | R²: 0.35279 [0.34325, 0.36234] Incremental R2 (full-covars): 0.01922 PGS R2 (no covariates): 0.02418 [0.02041, 0.02795] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005403 | PGS001637 (GBE_INI25011) |
PSS005239| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (L) | — | — | R²: 0.37965 [0.36272, 0.39657] Incremental R2 (full-covars): 0.00965 PGS R2 (no covariates): 0.00572 [0.00239, 0.00905] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005404 | PGS001637 (GBE_INI25011) |
PSS005240| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (L) | — | — | R²: 0.29342 [0.28764, 0.29919] Incremental R2 (full-covars): 0.02261 PGS R2 (no covariates): 0.0246 [0.02229, 0.02691] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005405 | PGS001638 (GBE_INI25012) |
PSS005241| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (R) | — | — | R²: 0.29788 [0.27926, 0.31651] Incremental R2 (full-covars): -0.0213 PGS R2 (no covariates): 0.00832 [0.00392, 0.01271] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005406 | PGS001638 (GBE_INI25012) |
PSS005242| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (R) | — | — | R²: 0.28598 [0.24979, 0.32216] Incremental R2 (full-covars): 0.00325 PGS R2 (no covariates): 0.01445 [0.00322, 0.02567] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005407 | PGS001638 (GBE_INI25012) |
PSS005243| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (R) | — | — | R²: 0.36351 [0.35397, 0.37304] Incremental R2 (full-covars): 0.01877 PGS R2 (no covariates): 0.02416 [0.02039, 0.02793] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005408 | PGS001638 (GBE_INI25012) |
PSS005244| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (R) | — | — | R²: 0.40018 [0.38338, 0.41698] Incremental R2 (full-covars): 0.00859 PGS R2 (no covariates): 0.00576 [0.00242, 0.0091] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005409 | PGS001638 (GBE_INI25012) |
PSS005245| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of thalamus (R) | — | — | R²: 0.30158 [0.29579, 0.30737] Incremental R2 (full-covars): 0.02093 PGS R2 (no covariates): 0.02391 [0.02163, 0.02619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005365 | PGS001639 (GBE_INI25004) |
PSS005201| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of ventricular cerebrospinal fluid | — | — | R²: 0.32375 [0.30505, 0.34246] Incremental R2 (full-covars): 0.01105 PGS R2 (no covariates): 0.00559 [0.00198, 0.00921] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005366 | PGS001639 (GBE_INI25004) |
PSS005202| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of ventricular cerebrospinal fluid | — | — | R²: 0.349 [0.31255, 0.38544] Incremental R2 (full-covars): 0.01036 PGS R2 (no covariates): 0.00796 [-0.00043, 0.01635] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005367 | PGS001639 (GBE_INI25004) |
PSS005203| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of ventricular cerebrospinal fluid | — | — | R²: 0.28228 [0.27281, 0.29175] Incremental R2 (full-covars): 0.01775 PGS R2 (no covariates): 0.01813 [0.01485, 0.02141] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005368 | PGS001639 (GBE_INI25004) |
PSS005204| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of ventricular cerebrospinal fluid | — | — | R²: 0.36613 [0.34915, 0.38311] Incremental R2 (full-covars): 0.00516 PGS R2 (no covariates): 0.00707 [0.00337, 0.01077] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005369 | PGS001639 (GBE_INI25004) |
PSS005205| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of ventricular cerebrospinal fluid | — | — | R²: 0.28661 [0.28085, 0.29238] Incremental R2 (full-covars): 0.01665 PGS R2 (no covariates): 0.01482 [0.01301, 0.01663] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005385 | PGS001640 (GBE_INI25008) |
PSS005221| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.43318 [0.41504, 0.45131] Incremental R2 (full-covars): -0.011 PGS R2 (no covariates): 0.00301 [0.00035, 0.00566] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005386 | PGS001640 (GBE_INI25008) |
PSS005222| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.34622 [0.30976, 0.38267] Incremental R2 (full-covars): -0.00469 PGS R2 (no covariates): 0.0184 [0.00578, 0.03102] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005387 | PGS001640 (GBE_INI25008) |
PSS005223| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.42054 [0.4112, 0.42987] Incremental R2 (full-covars): 0.02476 PGS R2 (no covariates): 0.03298 [0.02862, 0.03734] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005388 | PGS001640 (GBE_INI25008) |
PSS005224| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.40545 [0.38868, 0.42221] Incremental R2 (full-covars): 0.02195 PGS R2 (no covariates): 0.02301 [0.01645, 0.02957] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005389 | PGS001640 (GBE_INI25008) |
PSS005225| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.3624 [0.35661, 0.36819] Incremental R2 (full-covars): 0.02639 PGS R2 (no covariates): 0.03437 [0.03167, 0.03707] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005380 | PGS001641 (GBE_INI25007) |
PSS005216| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.21512 [0.19743, 0.23282] Incremental R2 (full-covars): -0.0154 PGS R2 (no covariates): 0.0028 [0.00023, 0.00536] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005381 | PGS001641 (GBE_INI25007) |
PSS005217| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.22502 [0.19018, 0.25986] Incremental R2 (full-covars): 0.01122 PGS R2 (no covariates): 0.01815 [0.00562, 0.03069] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005382 | PGS001641 (GBE_INI25007) |
PSS005218| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.16789 [0.15943, 0.17636] Incremental R2 (full-covars): 0.02175 PGS R2 (no covariates): 0.02403 [0.02027, 0.02779] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005383 | PGS001641 (GBE_INI25007) |
PSS005219| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.16364 [0.14866, 0.17861] Incremental R2 (full-covars): 0.00858 PGS R2 (no covariates): 0.02028 [0.0141, 0.02646] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005384 | PGS001641 (GBE_INI25007) |
PSS005220| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.12086 [0.11624, 0.12547] Incremental R2 (full-covars): 0.02406 PGS R2 (no covariates): 0.02556 [0.02321, 0.02791] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005350 | PGS001642 (GBE_INI25000) |
PSS005181| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.34947 [0.33077, 0.36816] Incremental R2 (full-covars): -0.01679 PGS R2 (no covariates): 0.01727 [0.01099, 0.02355] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005351 | PGS001642 (GBE_INI25000) |
PSS005182| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.3321 [0.29562, 0.36857] Incremental R2 (full-covars): 0.01092 PGS R2 (no covariates): 0.01319 [0.00245, 0.02392] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005352 | PGS001642 (GBE_INI25000) |
PSS005183| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.44904 [0.43987, 0.45821] Incremental R2 (full-covars): 0.02391 PGS R2 (no covariates): 0.02614 [0.02223, 0.03005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005353 | PGS001642 (GBE_INI25000) |
PSS005184| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.39771 [0.3809, 0.41453] Incremental R2 (full-covars): 0.01306 PGS R2 (no covariates): 0.01522 [0.00984, 0.0206] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005354 | PGS001642 (GBE_INI25000) |
PSS005185| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Volumetric scaling from T1 head image to standard space | — | — | R²: 0.41669 [0.41101, 0.42238] Incremental R2 (full-covars): 0.02811 PGS R2 (no covariates): 0.02866 [0.02617, 0.03114] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005955 | PGS001643 (GBE_INI25488) |
PSS005791| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (L) | — | — | R²: 0.10863 [0.09435, 0.12291] Incremental R2 (full-covars): -0.00425 PGS R2 (no covariates): 0.00094 [-0.00055, 0.00242] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005956 | PGS001643 (GBE_INI25488) |
PSS005792| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (L) | — | — | R²: 0.10526 [0.07775, 0.13277] Incremental R2 (full-covars): 0.0145 PGS R2 (no covariates): 0.01228 [0.00191, 0.02266] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005957 | PGS001643 (GBE_INI25488) |
PSS005793| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (L) | — | — | R²: 0.02216 [0.01854, 0.02577] Incremental R2 (full-covars): 0.01136 PGS R2 (no covariates): 0.01168 [0.00902, 0.01433] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005958 | PGS001643 (GBE_INI25488) |
PSS005794| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (L) | — | — | R²: 0.01846 [0.01255, 0.02436] Incremental R2 (full-covars): -0.00719 PGS R2 (no covariates): 0.00056 [-0.00049, 0.00161] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005959 | PGS001643 (GBE_INI25488) |
PSS005795| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (L) | — | — | R²: 0.01746 [0.0155, 0.01942] Incremental R2 (full-covars): 0.01158 PGS R2 (no covariates): 0.01167 [0.01006, 0.01328] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005960 | PGS001644 (GBE_INI25489) |
PSS005796| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (R) | — | — | R²: 0.06484 [0.05326, 0.07641] Incremental R2 (full-covars): -0.00826 PGS R2 (no covariates): 0.00077 [-0.00058, 0.00212] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005961 | PGS001644 (GBE_INI25489) |
PSS005797| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (R) | — | — | R²: 0.12722 [0.09772, 0.15672] Incremental R2 (full-covars): 0.03848 PGS R2 (no covariates): 0.05405 [0.03321, 0.07489] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005962 | PGS001644 (GBE_INI25489) |
PSS005798| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (R) | — | — | R²: 0.06535 [0.05942, 0.07129] Incremental R2 (full-covars): 0.00069 PGS R2 (no covariates): 0.00359 [0.00211, 0.00508] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005963 | PGS001644 (GBE_INI25489) |
PSS005799| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (R) | — | — | R²: 0.03865 [0.03028, 0.04702] Incremental R2 (full-covars): 0.00504 PGS R2 (no covariates): 0.00264 [0.00037, 0.00491] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005964 | PGS001644 (GBE_INI25489) |
PSS005800| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract acoustic radiation (R) | — | — | R²: 0.04446 [0.04142, 0.0475] Incremental R2 (full-covars): 0.00597 PGS R2 (no covariates): 0.00711 [0.00584, 0.00837] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005965 | PGS001645 (GBE_INI25490) |
PSS005801| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (L) | — | — | R²: 0.0817 [0.06894, 0.09446] Incremental R2 (full-covars): -0.01361 PGS R2 (no covariates): 0.00179 [-0.00026, 0.00384] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005966 | PGS001645 (GBE_INI25490) |
PSS005802| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (L) | — | — | R²: 0.19713 [0.16335, 0.23092] Incremental R2 (full-covars): 0.00499 PGS R2 (no covariates): 0.01031 [0.00079, 0.01984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005967 | PGS001645 (GBE_INI25490) |
PSS005803| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (L) | — | — | R²: 0.11043 [0.10309, 0.11777] Incremental R2 (full-covars): 0.00679 PGS R2 (no covariates): 0.00656 [0.00456, 0.00855] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005968 | PGS001645 (GBE_INI25490) |
PSS005804| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (L) | — | — | R²: 0.0511 [0.04161, 0.0606] Incremental R2 (full-covars): 0.00751 PGS R2 (no covariates): 0.0082 [0.00422, 0.01217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005969 | PGS001645 (GBE_INI25490) |
PSS005805| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (L) | — | — | R²: 0.07138 [0.06763, 0.07512] Incremental R2 (full-covars): 0.00513 PGS R2 (no covariates): 0.00524 [0.00416, 0.00633] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005970 | PGS001646 (GBE_INI25491) |
PSS005806| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (R) | — | — | R²: 0.05603 [0.04517, 0.06689] Incremental R2 (full-covars): -0.01701 PGS R2 (no covariates): 0.00054 [-0.00059, 0.00167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005971 | PGS001646 (GBE_INI25491) |
PSS005807| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (R) | — | — | R²: 0.17448 [0.1418, 0.20715] Incremental R2 (full-covars): 0.03967 PGS R2 (no covariates): 0.07754 [0.0532, 0.10188] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005972 | PGS001646 (GBE_INI25491) |
PSS005808| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (R) | — | — | R²: 0.08579 [0.07914, 0.09244] Incremental R2 (full-covars): 0.0051 PGS R2 (no covariates): 0.00673 [0.0047, 0.00875] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005973 | PGS001646 (GBE_INI25491) |
PSS005809| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (R) | — | — | R²: 0.03772 [0.02945, 0.046] Incremental R2 (full-covars): 0.00343 PGS R2 (no covariates): 0.00379 [0.00107, 0.00651] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005974 | PGS001646 (GBE_INI25491) |
PSS005810| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract anterior thalamic radiation (R) | — | — | R²: 0.05722 [0.05381, 0.06062] Incremental R2 (full-covars): 0.00759 PGS R2 (no covariates): 0.00759 [0.00629, 0.0089] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005975 | PGS001647 (GBE_INI25492) |
PSS005811| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.14828 [0.13233, 0.16422] Incremental R2 (full-covars): 0.01043 PGS R2 (no covariates): 0.01122 [0.00613, 0.01631] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005976 | PGS001647 (GBE_INI25492) |
PSS005812| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.08667 [0.06119, 0.11215] Incremental R2 (full-covars): -0.00337 PGS R2 (no covariates): 0.00019 [-0.00112, 0.00151] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005977 | PGS001647 (GBE_INI25492) |
PSS005813| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.06645 [0.06048, 0.07243] Incremental R2 (full-covars): 0.00348 PGS R2 (no covariates): 0.00382 [0.00229, 0.00535] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005978 | PGS001647 (GBE_INI25492) |
PSS005814| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.07051 [0.05958, 0.08144] Incremental R2 (full-covars): -0.00281 PGS R2 (no covariates): 1e-05 [-0.00012, 0.00014] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005979 | PGS001647 (GBE_INI25492) |
PSS005815| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.0567 [0.05331, 0.06009] Incremental R2 (full-covars): 0.00682 PGS R2 (no covariates): 0.00625 [0.00506, 0.00743] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005980 | PGS001648 (GBE_INI25493) |
PSS005816| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.09681 [0.08315, 0.11047] Incremental R2 (full-covars): 0.00228 PGS R2 (no covariates): 0.00532 [0.00179, 0.00884] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005981 | PGS001648 (GBE_INI25493) |
PSS005817| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.13101 [0.1012, 0.16081] Incremental R2 (full-covars): -0.01784 PGS R2 (no covariates): 0.00018 [-0.0011, 0.00147] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005982 | PGS001648 (GBE_INI25493) |
PSS005818| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.06032 [0.05459, 0.06605] Incremental R2 (full-covars): 0.00954 PGS R2 (no covariates): 0.01017 [0.00769, 0.01265] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005983 | PGS001648 (GBE_INI25493) |
PSS005819| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.05326 [0.04359, 0.06294] Incremental R2 (full-covars): -0.00243 PGS R2 (no covariates): 0.00225 [0.00015, 0.00434] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005984 | PGS001648 (GBE_INI25493) |
PSS005820| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.04752 [0.04439, 0.05066] Incremental R2 (full-covars): 0.00978 PGS R2 (no covariates): 0.01011 [0.00861, 0.01161] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005985 | PGS001649 (GBE_INI25497) |
PSS005821| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract corticospinal tract (R) | — | — | R²: 0.06594 [0.05428, 0.0776] Incremental R2 (full-covars): -0.00159 PGS R2 (no covariates): 0.00069 [-0.00059, 0.00197] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005986 | PGS001649 (GBE_INI25497) |
PSS005822| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract corticospinal tract (R) | — | — | R²: 0.09871 [0.07188, 0.12555] Incremental R2 (full-covars): -0.00073 PGS R2 (no covariates): 0.00163 [-0.00219, 0.00545] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005987 | PGS001649 (GBE_INI25497) |
PSS005823| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract corticospinal tract (R) | — | — | R²: 0.07647 [0.07013, 0.08281] Incremental R2 (full-covars): 0.00238 PGS R2 (no covariates): 0.00431 [0.00268, 0.00593] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005988 | PGS001649 (GBE_INI25497) |
PSS005824| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract corticospinal tract (R) | — | — | R²: 0.04853 [0.03925, 0.05781] Incremental R2 (full-covars): 0.00229 PGS R2 (no covariates): 0.00709 [0.00339, 0.01079] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005989 | PGS001649 (GBE_INI25497) |
PSS005825| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract corticospinal tract (R) | — | — | R²: 0.04805 [0.0449, 0.0512] Incremental R2 (full-covars): 0.00286 PGS R2 (no covariates): 0.00493 [0.00388, 0.00599] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005990 | PGS001650 (GBE_INI25498) |
PSS005826| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps major | — | — | R²: 0.03153 [0.02317, 0.03988] Incremental R2 (full-covars): -0.01468 PGS R2 (no covariates): 0.0 [-0.00007, 0.00007] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005991 | PGS001650 (GBE_INI25498) |
PSS005827| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps major | — | — | R²: 0.09315 [0.06692, 0.11938] Incremental R2 (full-covars): 0.01319 PGS R2 (no covariates): 0.02487 [0.0103, 0.03944] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005992 | PGS001650 (GBE_INI25498) |
PSS005828| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps major | — | — | R²: 0.02724 [0.02325, 0.03123] Incremental R2 (full-covars): 0.01386 PGS R2 (no covariates): 0.01452 [0.01157, 0.01747] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005993 | PGS001650 (GBE_INI25498) |
PSS005829| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps major | — | — | R²: 0.03816 [0.02984, 0.04647] Incremental R2 (full-covars): 0.00423 PGS R2 (no covariates): 0.00324 [0.00073, 0.00576] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005994 | PGS001650 (GBE_INI25498) |
PSS005830| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps major | — | — | R²: 0.01546 [0.01361, 0.01731] Incremental R2 (full-covars): 0.00849 PGS R2 (no covariates): 0.00863 [0.00724, 0.01002] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005995 | PGS001651 (GBE_INI25499) |
PSS005831| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps minor | — | — | R²: 0.07183 [0.05974, 0.08392] Incremental R2 (full-covars): -0.04151 PGS R2 (no covariates): 0.0047 [0.00138, 0.00801] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005996 | PGS001651 (GBE_INI25499) |
PSS005832| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps minor | — | — | R²: 0.1987 [0.16485, 0.23254] Incremental R2 (full-covars): 0.02643 PGS R2 (no covariates): 0.01684 [0.00475, 0.02892] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005997 | PGS001651 (GBE_INI25499) |
PSS005833| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps minor | — | — | R²: 0.16216 [0.15378, 0.17054] Incremental R2 (full-covars): 0.0311 PGS R2 (no covariates): 0.02924 [0.02512, 0.03336] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005998 | PGS001651 (GBE_INI25499) |
PSS005834| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps minor | — | — | R²: 0.08025 [0.06871, 0.09178] Incremental R2 (full-covars): -0.00069 PGS R2 (no covariates): 0.00204 [0.00004, 0.00403] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005999 | PGS001651 (GBE_INI25499) |
PSS005835| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract forceps minor | — | — | R²: 0.11829 [0.11371, 0.12287] Incremental R2 (full-covars): 0.03241 PGS R2 (no covariates): 0.03036 [0.02781, 0.03291] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006000 | PGS001652 (GBE_INI25500) |
PSS005836| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.07105 [0.05902, 0.08309] Incremental R2 (full-covars): -0.02288 PGS R2 (no covariates): 0.00416 [0.00104, 0.00728] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006001 | PGS001652 (GBE_INI25500) |
PSS005837| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.12565 [0.09628, 0.15502] Incremental R2 (full-covars): 0.04497 PGS R2 (no covariates): 0.07137 [0.04786, 0.09488] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006002 | PGS001652 (GBE_INI25500) |
PSS005838| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.10587 [0.09864, 0.11309] Incremental R2 (full-covars): 0.02018 PGS R2 (no covariates): 0.01948 [0.01608, 0.02287] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006003 | PGS001652 (GBE_INI25500) |
PSS005839| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.06062 [0.05038, 0.07086] Incremental R2 (full-covars): 0.01064 PGS R2 (no covariates): 0.01151 [0.00682, 0.01621] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006004 | PGS001652 (GBE_INI25500) |
PSS005840| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.07886 [0.07496, 0.08277] Incremental R2 (full-covars): 0.01587 PGS R2 (no covariates): 0.01581 [0.01395, 0.01768] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006005 | PGS001653 (GBE_INI25501) |
PSS005841| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.09171 [0.07834, 0.10508] Incremental R2 (full-covars): -0.02096 PGS R2 (no covariates): 0.00181 [-0.00025, 0.00388] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006006 | PGS001653 (GBE_INI25501) |
PSS005842| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.0872 [0.06166, 0.11274] Incremental R2 (full-covars): 0.03538 PGS R2 (no covariates): 0.04412 [0.02509, 0.06315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006007 | PGS001653 (GBE_INI25501) |
PSS005843| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.09439 [0.08748, 0.1013] Incremental R2 (full-covars): 0.01166 PGS R2 (no covariates): 0.01305 [0.01025, 0.01586] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006008 | PGS001653 (GBE_INI25501) |
PSS005844| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.04504 [0.03606, 0.05401] Incremental R2 (full-covars): 0.00851 PGS R2 (no covariates): 0.0088 [0.00468, 0.01291] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006009 | PGS001653 (GBE_INI25501) |
PSS005845| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.07217 [0.06841, 0.07593] Incremental R2 (full-covars): 0.02269 PGS R2 (no covariates): 0.02362 [0.02135, 0.02588] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006010 | PGS001654 (GBE_INI25502) |
PSS005846| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.11449 [0.09993, 0.12905] Incremental R2 (full-covars): -0.016 PGS R2 (no covariates): 0.00236 [0.0, 0.00472] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006011 | PGS001654 (GBE_INI25502) |
PSS005847| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.1333 [0.10331, 0.16328] Incremental R2 (full-covars): 0.05396 PGS R2 (no covariates): 0.07008 [0.04675, 0.09341] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006012 | PGS001654 (GBE_INI25502) |
PSS005848| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.14427 [0.1362, 0.15234] Incremental R2 (full-covars): 0.01731 PGS R2 (no covariates): 0.0137 [0.01083, 0.01656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006013 | PGS001654 (GBE_INI25502) |
PSS005849| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.04555 [0.03653, 0.05456] Incremental R2 (full-covars): -0.00023 PGS R2 (no covariates): 0.00128 [-0.0003, 0.00286] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006014 | PGS001654 (GBE_INI25502) |
PSS005850| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.09351 [0.08933, 0.0977] Incremental R2 (full-covars): 0.02133 PGS R2 (no covariates): 0.02193 [0.01974, 0.02412] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006015 | PGS001655 (GBE_INI25503) |
PSS005851| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.14605 [0.13019, 0.16191] Incremental R2 (full-covars): -0.00104 PGS R2 (no covariates): 0.00016 [-0.00046, 0.00078] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006016 | PGS001655 (GBE_INI25503) |
PSS005852| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.11446 [0.08607, 0.14286] Incremental R2 (full-covars): 0.01069 PGS R2 (no covariates): 0.01839 [0.00578, 0.03101] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006017 | PGS001655 (GBE_INI25503) |
PSS005853| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.12791 [0.12016, 0.13565] Incremental R2 (full-covars): 0.01737 PGS R2 (no covariates): 0.01525 [0.01223, 0.01827] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006018 | PGS001655 (GBE_INI25503) |
PSS005854| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.07717 [0.06581, 0.08852] Incremental R2 (full-covars): 0.00892 PGS R2 (no covariates): 0.02228 [0.01582, 0.02875] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006019 | PGS001655 (GBE_INI25503) |
PSS005855| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.08732 [0.08325, 0.0914] Incremental R2 (full-covars): 0.02449 PGS R2 (no covariates): 0.02572 [0.02336, 0.02808] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006020 | PGS001656 (GBE_INI25507) |
PSS005856| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (L) | — | — | R²: 0.08081 [0.06811, 0.09351] Incremental R2 (full-covars): -0.03442 PGS R2 (no covariates): 0.0152 [0.0093, 0.0211] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006021 | PGS001656 (GBE_INI25507) |
PSS005857| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (L) | — | — | R²: 0.22668 [0.19179, 0.26157] Incremental R2 (full-covars): 0.03846 PGS R2 (no covariates): 0.05243 [0.03187, 0.07299] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006022 | PGS001656 (GBE_INI25507) |
PSS005858| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (L) | — | — | R²: 0.13339 [0.12553, 0.14125] Incremental R2 (full-covars): 0.01429 PGS R2 (no covariates): 0.01037 [0.00787, 0.01288] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006023 | PGS001656 (GBE_INI25507) |
PSS005859| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (L) | — | — | R²: 0.06018 [0.04998, 0.07039] Incremental R2 (full-covars): 0.00648 PGS R2 (no covariates): 0.00716 [0.00344, 0.01087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006024 | PGS001656 (GBE_INI25507) |
PSS005860| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (L) | — | — | R²: 0.09761 [0.09335, 0.10187] Incremental R2 (full-covars): 0.01406 PGS R2 (no covariates): 0.01303 [0.01133, 0.01473] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006025 | PGS001657 (GBE_INI25508) |
PSS005861| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (R) | — | — | R²: 0.09524 [0.08167, 0.10881] Incremental R2 (full-covars): -0.02199 PGS R2 (no covariates): 0.00586 [0.00216, 0.00955] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006026 | PGS001657 (GBE_INI25508) |
PSS005862| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (R) | — | — | R²: 0.19442 [0.16076, 0.22808] Incremental R2 (full-covars): 0.02513 PGS R2 (no covariates): 0.04805 [0.02828, 0.06783] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006027 | PGS001657 (GBE_INI25508) |
PSS005863| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (R) | — | — | R²: 0.09155 [0.08472, 0.09837] Incremental R2 (full-covars): 0.00738 PGS R2 (no covariates): 0.00825 [0.00601, 0.01048] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006028 | PGS001657 (GBE_INI25508) |
PSS005864| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (R) | — | — | R²: 0.02665 [0.01961, 0.03368] Incremental R2 (full-covars): 0.0022 PGS R2 (no covariates): 0.00383 [0.0011, 0.00656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006029 | PGS001657 (GBE_INI25508) |
PSS005865| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract posterior thalamic radiation (R) | — | — | R²: 0.05812 [0.05469, 0.06155] Incremental R2 (full-covars): 0.01098 PGS R2 (no covariates): 0.01037 [0.00885, 0.01189] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006030 | PGS001658 (GBE_INI25509) |
PSS005866| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract superior longitudinal fasciculus (L) | — | — | R²: 0.0561 [0.04524, 0.06697] Incremental R2 (full-covars): -0.0246 PGS R2 (no covariates): 4e-05 [-0.00026, 0.00034] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006031 | PGS001658 (GBE_INI25509) |
PSS005867| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract superior longitudinal fasciculus (L) | — | — | R²: 0.10056 [0.07353, 0.12759] Incremental R2 (full-covars): 0.00138 PGS R2 (no covariates): 0.01284 [0.00224, 0.02344] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006032 | PGS001658 (GBE_INI25509) |
PSS005868| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract superior longitudinal fasciculus (L) | — | — | R²: 0.10673 [0.09949, 0.11398] Incremental R2 (full-covars): 0.01673 PGS R2 (no covariates): 0.01891 [0.01556, 0.02226] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006033 | PGS001658 (GBE_INI25509) |
PSS005869| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract superior longitudinal fasciculus (L) | — | — | R²: 0.03454 [0.0266, 0.04249] Incremental R2 (full-covars): -0.02167 PGS R2 (no covariates): 0.00173 [-0.00011, 0.00356] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006034 | PGS001658 (GBE_INI25509) |
PSS005870| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract superior longitudinal fasciculus (L) | — | — | R²: 0.08259 [0.07861, 0.08657] Incremental R2 (full-covars): 0.02554 PGS R2 (no covariates): 0.02659 [0.02419, 0.02898] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006035 | PGS001659 (GBE_INI25513) |
PSS005871| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (L) | — | — | R²: 0.05616 [0.04529, 0.06704] Incremental R2 (full-covars): -0.00405 PGS R2 (no covariates): 2e-05 [-0.00017, 0.0002] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006036 | PGS001659 (GBE_INI25513) |
PSS005872| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (L) | — | — | R²: 0.1754 [0.14267, 0.20812] Incremental R2 (full-covars): 0.00748 PGS R2 (no covariates): 0.0174 [0.00512, 0.02968] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006037 | PGS001659 (GBE_INI25513) |
PSS005873| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (L) | — | — | R²: 0.08402 [0.07742, 0.09061] Incremental R2 (full-covars): 0.00441 PGS R2 (no covariates): 0.00409 [0.00251, 0.00568] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006038 | PGS001659 (GBE_INI25513) |
PSS005874| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (L) | — | — | R²: 0.0645 [0.05398, 0.07502] Incremental R2 (full-covars): 0.00493 PGS R2 (no covariates): 0.00315 [0.00068, 0.00563] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006039 | PGS001659 (GBE_INI25513) |
PSS005875| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (L) | — | — | R²: 0.05822 [0.05479, 0.06166] Incremental R2 (full-covars): 0.00393 PGS R2 (no covariates): 0.00371 [0.00279, 0.00463] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006040 | PGS001660 (GBE_INI25514) |
PSS005876| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (R) | — | — | R²: 0.1482 [0.13226, 0.16414] Incremental R2 (full-covars): -0.00603 PGS R2 (no covariates): 0.00522 [0.00173, 0.00871] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006041 | PGS001660 (GBE_INI25514) |
PSS005877| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (R) | — | — | R²: 0.16955 [0.13715, 0.20196] Incremental R2 (full-covars): 0.01239 PGS R2 (no covariates): 0.01422 [0.00308, 0.02536] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006042 | PGS001660 (GBE_INI25514) |
PSS005878| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (R) | — | — | R²: 0.08353 [0.07695, 0.09011] Incremental R2 (full-covars): 0.00841 PGS R2 (no covariates): 0.00901 [0.00667, 0.01135] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006043 | PGS001660 (GBE_INI25514) |
PSS005879| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (R) | — | — | R²: 0.0976 [0.08512, 0.11008] Incremental R2 (full-covars): 0.01515 PGS R2 (no covariates): 0.01934 [0.0133, 0.02538] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006044 | PGS001660 (GBE_INI25514) |
PSS005880| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA FA in tract uncinate fasciculus (R) | — | — | R²: 0.05814 [0.05471, 0.06157] Incremental R2 (full-covars): 0.00691 PGS R2 (no covariates): 0.00748 [0.00618, 0.00877] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006355 | PGS001661 (GBE_INI25650) |
PSS006191| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (L) | — | — | R²: 0.08146 [0.06872, 0.09421] Incremental R2 (full-covars): 0.0016 PGS R2 (no covariates): 0.00609 [0.00232, 0.00986] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006356 | PGS001661 (GBE_INI25650) |
PSS006192| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (L) | — | — | R²: 0.07871 [0.05422, 0.1032] Incremental R2 (full-covars): 0.02606 PGS R2 (no covariates): 0.01741 [0.00513, 0.0297] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006357 | PGS001661 (GBE_INI25650) |
PSS006193| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (L) | — | — | R²: 0.09443 [0.08752, 0.10134] Incremental R2 (full-covars): 0.04205 PGS R2 (no covariates): 0.03976 [0.03501, 0.04452] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006358 | PGS001661 (GBE_INI25650) |
PSS006194| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (L) | — | — | R²: 0.03515 [0.02714, 0.04315] Incremental R2 (full-covars): 0.00796 PGS R2 (no covariates): 0.0082 [0.00422, 0.01217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006359 | PGS001661 (GBE_INI25650) |
PSS006195| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (L) | — | — | R²: 0.04812 [0.04497, 0.05127] Incremental R2 (full-covars): 0.0247 PGS R2 (no covariates): 0.02418 [0.02189, 0.02647] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006360 | PGS001662 (GBE_INI25651) |
PSS006196| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (R) | — | — | R²: 0.08885 [0.07565, 0.10205] Incremental R2 (full-covars): 0.01617 PGS R2 (no covariates): 0.01518 [0.00928, 0.02107] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006361 | PGS001662 (GBE_INI25651) |
PSS006197| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (R) | — | — | R²: 0.05932 [0.0376, 0.08103] Incremental R2 (full-covars): 0.02849 PGS R2 (no covariates): 0.0249 [0.01032, 0.03948] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006362 | PGS001662 (GBE_INI25651) |
PSS006198| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (R) | — | — | R²: 0.10046 [0.09338, 0.10754] Incremental R2 (full-covars): 0.0427 PGS R2 (no covariates): 0.04027 [0.03548, 0.04505] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006363 | PGS001662 (GBE_INI25651) |
PSS006199| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (R) | — | — | R²: 0.04125 [0.03263, 0.04988] Incremental R2 (full-covars): 0.01226 PGS R2 (no covariates): 0.01285 [0.00789, 0.0178] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006364 | PGS001662 (GBE_INI25651) |
PSS006200| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract acoustic radiation (R) | — | — | R²: 0.0575 [0.05409, 0.06091] Incremental R2 (full-covars): 0.02794 PGS R2 (no covariates): 0.0281 [0.02564, 0.03056] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006365 | PGS001663 (GBE_INI25652) |
PSS006201| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (L) | — | — | R²: 0.16778 [0.15121, 0.18435] Incremental R2 (full-covars): -0.00649 PGS R2 (no covariates): 0.00147 [-0.00039, 0.00332] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006366 | PGS001663 (GBE_INI25652) |
PSS006202| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (L) | — | — | R²: 0.12733 [0.09782, 0.15684] Incremental R2 (full-covars): -0.00068 PGS R2 (no covariates): 0.00226 [-0.00223, 0.00676] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006367 | PGS001663 (GBE_INI25652) |
PSS006203| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (L) | — | — | R²: 0.22331 [0.2142, 0.23243] Incremental R2 (full-covars): 0.02794 PGS R2 (no covariates): 0.02412 [0.02035, 0.02788] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006368 | PGS001663 (GBE_INI25652) |
PSS006204| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (L) | — | — | R²: 0.11635 [0.10301, 0.1297] Incremental R2 (full-covars): 0.01386 PGS R2 (no covariates): 0.0143 [0.00908, 0.01952] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006369 | PGS001663 (GBE_INI25652) |
PSS006205| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (L) | — | — | R²: 0.14277 [0.13788, 0.14766] Incremental R2 (full-covars): 0.02493 PGS R2 (no covariates): 0.02654 [0.02415, 0.02894] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006370 | PGS001664 (GBE_INI25653) |
PSS006206| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (R) | — | — | R²: 0.12746 [0.11232, 0.1426] Incremental R2 (full-covars): -0.01602 PGS R2 (no covariates): 0.00054 [-0.00059, 0.00167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006371 | PGS001664 (GBE_INI25653) |
PSS006207| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (R) | — | — | R²: 0.15632 [0.12471, 0.18793] Incremental R2 (full-covars): 0.01756 PGS R2 (no covariates): 0.01483 [0.00346, 0.0262] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006372 | PGS001664 (GBE_INI25653) |
PSS006208| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (R) | — | — | R²: 0.23942 [0.23018, 0.24866] Incremental R2 (full-covars): 0.03426 PGS R2 (no covariates): 0.03089 [0.02666, 0.03512] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006373 | PGS001664 (GBE_INI25653) |
PSS006209| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (R) | — | — | R²: 0.11646 [0.10311, 0.12981] Incremental R2 (full-covars): 0.0138 PGS R2 (no covariates): 0.01537 [0.00997, 0.02078] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006374 | PGS001664 (GBE_INI25653) |
PSS006210| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract anterior thalamic radiation (R) | — | — | R²: 0.14459 [0.13968, 0.1495] Incremental R2 (full-covars): 0.02328 PGS R2 (no covariates): 0.02481 [0.02249, 0.02713] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006375 | PGS001665 (GBE_INI25654) |
PSS006211| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.16987 [0.15324, 0.1865] Incremental R2 (full-covars): 0.00954 PGS R2 (no covariates): 0.01537 [0.00943, 0.0213] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006376 | PGS001665 (GBE_INI25654) |
PSS006212| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.14531 [0.11444, 0.17619] Incremental R2 (full-covars): 0.04918 PGS R2 (no covariates): 0.0521 [0.0316, 0.07261] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006377 | PGS001665 (GBE_INI25654) |
PSS006213| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.12981 [0.12203, 0.1376] Incremental R2 (full-covars): 0.02867 PGS R2 (no covariates): 0.02851 [0.02444, 0.03259] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006378 | PGS001665 (GBE_INI25654) |
PSS006214| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.0873 [0.07536, 0.09924] Incremental R2 (full-covars): 0.01817 PGS R2 (no covariates): 0.02152 [0.01517, 0.02788] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006379 | PGS001665 (GBE_INI25654) |
PSS006215| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.09946 [0.09517, 0.10374] Incremental R2 (full-covars): 0.02939 PGS R2 (no covariates): 0.02947 [0.02696, 0.03199] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006380 | PGS001666 (GBE_INI25655) |
PSS006216| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.13057 [0.1153, 0.14584] Incremental R2 (full-covars): 0.01599 PGS R2 (no covariates): 0.01658 [0.01042, 0.02273] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006381 | PGS001666 (GBE_INI25655) |
PSS006217| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.10705 [0.07937, 0.13474] Incremental R2 (full-covars): 0.01261 PGS R2 (no covariates): 0.01147 [0.00144, 0.0215] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006382 | PGS001666 (GBE_INI25655) |
PSS006218| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.13491 [0.12701, 0.1428] Incremental R2 (full-covars): 0.03545 PGS R2 (no covariates): 0.03408 [0.02966, 0.03851] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006383 | PGS001666 (GBE_INI25655) |
PSS006219| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.08507 [0.07326, 0.09689] Incremental R2 (full-covars): 0.00907 PGS R2 (no covariates): 0.00894 [0.00479, 0.01309] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006384 | PGS001666 (GBE_INI25655) |
PSS006220| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.09577 [0.09155, 0.1] Incremental R2 (full-covars): 0.02967 PGS R2 (no covariates): 0.02934 [0.02683, 0.03185] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006395 | PGS001667 (GBE_INI25658) |
PSS006231| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (L) | — | — | R²: 0.10152 [0.08761, 0.11544] Incremental R2 (full-covars): -0.00027 PGS R2 (no covariates): 0.00272 [0.00019, 0.00524] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006396 | PGS001667 (GBE_INI25658) |
PSS006232| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (L) | — | — | R²: 0.05146 [0.03107, 0.07186] Incremental R2 (full-covars): -0.01336 PGS R2 (no covariates): 0.00016 [-0.00103, 0.00135] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006397 | PGS001667 (GBE_INI25658) |
PSS006233| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (L) | — | — | R²: 0.06624 [0.06027, 0.07221] Incremental R2 (full-covars): 0.02198 PGS R2 (no covariates): 0.02156 [0.01799, 0.02513] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006398 | PGS001667 (GBE_INI25658) |
PSS006234| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (L) | — | — | R²: 0.03761 [0.02934, 0.04587] Incremental R2 (full-covars): 0.01285 PGS R2 (no covariates): 0.01124 [0.0066, 0.01588] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006399 | PGS001667 (GBE_INI25658) |
PSS006235| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (L) | — | — | R²: 0.03247 [0.02984, 0.03511] Incremental R2 (full-covars): 0.01996 PGS R2 (no covariates): 0.01982 [0.01774, 0.0219] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006400 | PGS001668 (GBE_INI25659) |
PSS006236| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (R) | — | — | R²: 0.14277 [0.12702, 0.15851] Incremental R2 (full-covars): 0.01639 PGS R2 (no covariates): 0.0142 [0.00849, 0.01991] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006401 | PGS001668 (GBE_INI25659) |
PSS006237| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (R) | — | — | R²: 0.06984 [0.04655, 0.09314] Incremental R2 (full-covars): -0.00533 PGS R2 (no covariates): 0.00106 [-0.00202, 0.00414] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006402 | PGS001668 (GBE_INI25659) |
PSS006238| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (R) | — | — | R²: 0.08345 [0.07687, 0.09002] Incremental R2 (full-covars): 0.02507 PGS R2 (no covariates): 0.02853 [0.02445, 0.0326] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006403 | PGS001668 (GBE_INI25659) |
PSS006239| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (R) | — | — | R²: 0.03246 [0.02474, 0.04017] Incremental R2 (full-covars): 0.00956 PGS R2 (no covariates): 0.00921 [0.005, 0.01342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006404 | PGS001668 (GBE_INI25659) |
PSS006240| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract corticospinal tract (R) | — | — | R²: 0.03433 [0.03163, 0.03703] Incremental R2 (full-covars): 0.01418 PGS R2 (no covariates): 0.01609 [0.0142, 0.01797] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006405 | PGS001669 (GBE_INI25660) |
PSS006241| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps major | — | — | R²: 0.07255 [0.06041, 0.0847] Incremental R2 (full-covars): -0.00127 PGS R2 (no covariates): 0.00234 [-0.00001, 0.00468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006406 | PGS001669 (GBE_INI25660) |
PSS006242| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps major | — | — | R²: 0.10717 [0.07947, 0.13487] Incremental R2 (full-covars): 0.00639 PGS R2 (no covariates): 0.01163 [0.00153, 0.02173] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006407 | PGS001669 (GBE_INI25660) |
PSS006243| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps major | — | — | R²: 0.09658 [0.08961, 0.10356] Incremental R2 (full-covars): 0.03944 PGS R2 (no covariates): 0.04007 [0.0353, 0.04485] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006408 | PGS001669 (GBE_INI25660) |
PSS006244| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps major | — | — | R²: 0.04458 [0.03565, 0.05351] Incremental R2 (full-covars): -0.00188 PGS R2 (no covariates): 0.0043 [0.00141, 0.00719] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006409 | PGS001669 (GBE_INI25660) |
PSS006245| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps major | — | — | R²: 0.05604 [0.05266, 0.05941] Incremental R2 (full-covars): 0.03143 PGS R2 (no covariates): 0.03166 [0.02905, 0.03426] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006410 | PGS001670 (GBE_INI25661) |
PSS006246| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps minor | — | — | R²: 0.12307 [0.10812, 0.13802] Incremental R2 (full-covars): -0.00202 PGS R2 (no covariates): 0.0036 [0.00069, 0.00651] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006411 | PGS001670 (GBE_INI25661) |
PSS006247| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps minor | — | — | R²: 0.15895 [0.12717, 0.19072] Incremental R2 (full-covars): 0.02548 PGS R2 (no covariates): 0.02274 [0.00878, 0.03671] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006412 | PGS001670 (GBE_INI25661) |
PSS006248| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps minor | — | — | R²: 0.18666 [0.17793, 0.19539] Incremental R2 (full-covars): 0.07244 PGS R2 (no covariates): 0.06896 [0.06289, 0.07503] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006413 | PGS001670 (GBE_INI25661) |
PSS006249| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps minor | — | — | R²: 0.11907 [0.10561, 0.13253] Incremental R2 (full-covars): 0.03725 PGS R2 (no covariates): 0.03241 [0.02469, 0.04012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006414 | PGS001670 (GBE_INI25661) |
PSS006250| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract forceps minor | — | — | R²: 0.1388 [0.13395, 0.14364] Incremental R2 (full-covars): 0.06198 PGS R2 (no covariates): 0.06148 [0.05797, 0.06499] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006415 | PGS001671 (GBE_INI25662) |
PSS006251| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.07199 [0.05989, 0.08409] Incremental R2 (full-covars): -0.01984 PGS R2 (no covariates): 0.00034 [-0.00056, 0.00124] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006416 | PGS001671 (GBE_INI25662) |
PSS006252| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.14201 [0.11137, 0.17265] Incremental R2 (full-covars): 0.05728 PGS R2 (no covariates): 0.05468 [0.03373, 0.07562] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006417 | PGS001671 (GBE_INI25662) |
PSS006253| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.18004 [0.1714, 0.18868] Incremental R2 (full-covars): 0.06558 PGS R2 (no covariates): 0.05754 [0.05192, 0.06315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006418 | PGS001671 (GBE_INI25662) |
PSS006254| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.0941 [0.0818, 0.10641] Incremental R2 (full-covars): 0.03611 PGS R2 (no covariates): 0.03616 [0.02805, 0.04428] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006419 | PGS001671 (GBE_INI25662) |
PSS006255| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.1231 [0.11845, 0.12774] Incremental R2 (full-covars): 0.04943 PGS R2 (no covariates): 0.0479 [0.04476, 0.05105] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006420 | PGS001672 (GBE_INI25663) |
PSS006256| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.07389 [0.06165, 0.08613] Incremental R2 (full-covars): -0.00027 PGS R2 (no covariates): 0.00573 [0.00207, 0.00939] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006421 | PGS001672 (GBE_INI25663) |
PSS006257| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.12751 [0.09798, 0.15703] Incremental R2 (full-covars): 0.02934 PGS R2 (no covariates): 0.02719 [0.01199, 0.04239] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006422 | PGS001672 (GBE_INI25663) |
PSS006258| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.15899 [0.15067, 0.16732] Incremental R2 (full-covars): 0.05575 PGS R2 (no covariates): 0.04899 [0.04376, 0.05422] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006423 | PGS001672 (GBE_INI25663) |
PSS006259| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.07916 [0.06768, 0.09063] Incremental R2 (full-covars): 0.03126 PGS R2 (no covariates): 0.03059 [0.02308, 0.0381] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006424 | PGS001672 (GBE_INI25663) |
PSS006260| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.11949 [0.1149, 0.12409] Incremental R2 (full-covars): 0.04903 PGS R2 (no covariates): 0.04898 [0.0458, 0.05216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006425 | PGS001673 (GBE_INI25664) |
PSS006261| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.091 [0.07767, 0.10433] Incremental R2 (full-covars): -0.00998 PGS R2 (no covariates): 0.0046 [0.00132, 0.00788] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006426 | PGS001673 (GBE_INI25664) |
PSS006262| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.15214 [0.1208, 0.18348] Incremental R2 (full-covars): 0.08413 PGS R2 (no covariates): 0.09498 [0.06855, 0.12141] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006427 | PGS001673 (GBE_INI25664) |
PSS006263| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.16807 [0.1596, 0.17654] Incremental R2 (full-covars): 0.07025 PGS R2 (no covariates): 0.06176 [0.05597, 0.06755] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006428 | PGS001673 (GBE_INI25664) |
PSS006264| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.09549 [0.08311, 0.10786] Incremental R2 (full-covars): 0.04167 PGS R2 (no covariates): 0.04123 [0.03261, 0.04985] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006429 | PGS001673 (GBE_INI25664) |
PSS006265| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.10649 [0.10209, 0.11089] Incremental R2 (full-covars): 0.04983 PGS R2 (no covariates): 0.04957 [0.04637, 0.05276] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006430 | PGS001674 (GBE_INI25665) |
PSS006266| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.12014 [0.10532, 0.13497] Incremental R2 (full-covars): 0.01854 PGS R2 (no covariates): 0.01559 [0.00962, 0.02156] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006431 | PGS001674 (GBE_INI25665) |
PSS006267| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.12107 [0.09209, 0.15005] Incremental R2 (full-covars): 0.05523 PGS R2 (no covariates): 0.06246 [0.04026, 0.08467] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006432 | PGS001674 (GBE_INI25665) |
PSS006268| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.14703 [0.13891, 0.15516] Incremental R2 (full-covars): 0.06098 PGS R2 (no covariates): 0.05567 [0.05014, 0.06121] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006433 | PGS001674 (GBE_INI25665) |
PSS006269| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.08532 [0.07349, 0.09715] Incremental R2 (full-covars): 0.03016 PGS R2 (no covariates): 0.03425 [0.02633, 0.04216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006434 | PGS001674 (GBE_INI25665) |
PSS006270| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.09879 [0.09451, 0.10306] Incremental R2 (full-covars): 0.04942 PGS R2 (no covariates): 0.04846 [0.0453, 0.05163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006440 | PGS001675 (GBE_INI25667) |
PSS006276| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (L) | — | — | R²: 0.08949 [0.07625, 0.10273] Incremental R2 (full-covars): 0.01883 PGS R2 (no covariates): 0.02146 [0.01449, 0.02843] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006441 | PGS001675 (GBE_INI25667) |
PSS006277| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (L) | — | — | R²: 0.12813 [0.09856, 0.15771] Incremental R2 (full-covars): 0.01889 PGS R2 (no covariates): 0.03053 [0.01448, 0.04658] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006442 | PGS001675 (GBE_INI25667) |
PSS006278| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (L) | — | — | R²: 0.0892 [0.08245, 0.09596] Incremental R2 (full-covars): 0.02051 PGS R2 (no covariates): 0.01979 [0.01636, 0.02321] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006443 | PGS001675 (GBE_INI25667) |
PSS006279| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (L) | — | — | R²: 0.02518 [0.01833, 0.03203] Incremental R2 (full-covars): -0.00726 PGS R2 (no covariates): 0.0 [-0.00008, 0.00009] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006444 | PGS001675 (GBE_INI25667) |
PSS006280| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (L) | — | — | R²: 0.06192 [0.0584, 0.06544] Incremental R2 (full-covars): 0.01443 PGS R2 (no covariates): 0.01402 [0.01226, 0.01578] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006445 | PGS001676 (GBE_INI25668) |
PSS006281| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (R) | — | — | R²: 0.09005 [0.07677, 0.10332] Incremental R2 (full-covars): -0.00563 PGS R2 (no covariates): 0.0003 [-0.00054, 0.00115] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006446 | PGS001676 (GBE_INI25668) |
PSS006282| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (R) | — | — | R²: 0.14881 [0.1177, 0.17993] Incremental R2 (full-covars): -0.01462 PGS R2 (no covariates): 0.00084 [-0.00191, 0.0036] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006447 | PGS001676 (GBE_INI25668) |
PSS006283| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (R) | — | — | R²: 0.09913 [0.09209, 0.10618] Incremental R2 (full-covars): 0.01721 PGS R2 (no covariates): 0.01454 [0.01159, 0.01749] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006448 | PGS001676 (GBE_INI25668) |
PSS006284| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (R) | — | — | R²: 0.02843 [0.02118, 0.03569] Incremental R2 (full-covars): -0.0062 PGS R2 (no covariates): 0.0 [-0.00004, 0.00004] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006449 | PGS001676 (GBE_INI25668) |
PSS006285| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract medial lemniscus (R) | — | — | R²: 0.06723 [0.06358, 0.07088] Incremental R2 (full-covars): 0.0096 PGS R2 (no covariates): 0.00966 [0.00819, 0.01113] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006435 | PGS001677 (GBE_INI25666) |
PSS006271| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract middle cerebellar peduncle | — | — | R²: 0.18491 [0.16788, 0.20195] Incremental R2 (full-covars): -0.00093 PGS R2 (no covariates): 0.00272 [0.00019, 0.00525] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006436 | PGS001677 (GBE_INI25666) |
PSS006272| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract middle cerebellar peduncle | — | — | R²: 0.14772 [0.11668, 0.17877] Incremental R2 (full-covars): 0.0069 PGS R2 (no covariates): 0.00436 [-0.00187, 0.01058] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006437 | PGS001677 (GBE_INI25666) |
PSS006273| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract middle cerebellar peduncle | — | — | R²: 0.08576 [0.07911, 0.09241] Incremental R2 (full-covars): 0.01684 PGS R2 (no covariates): 0.01802 [0.01475, 0.0213] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006438 | PGS001677 (GBE_INI25666) |
PSS006274| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract middle cerebellar peduncle | — | — | R²: 0.05824 [0.04817, 0.0683] Incremental R2 (full-covars): 0.0091 PGS R2 (no covariates): 0.00921 [0.005, 0.01342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006439 | PGS001677 (GBE_INI25666) |
PSS006275| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract middle cerebellar peduncle | — | — | R²: 0.01986 [0.01777, 0.02194] Incremental R2 (full-covars): 0.00369 PGS R2 (no covariates): 0.00375 [0.00283, 0.00467] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006385 | PGS001678 (GBE_INI25656) |
PSS006221| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (L) | — | — | R²: 0.1407 [0.12503, 0.15637] Incremental R2 (full-covars): 0.00801 PGS R2 (no covariates): 0.01289 [0.00745, 0.01834] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006386 | PGS001678 (GBE_INI25656) |
PSS006222| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (L) | — | — | R²: 0.21246 [0.17806, 0.24686] Incremental R2 (full-covars): 0.03725 PGS R2 (no covariates): 0.03278 [0.01619, 0.04938] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006387 | PGS001678 (GBE_INI25656) |
PSS006223| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (L) | — | — | R²: 0.06269 [0.05687, 0.06852] Incremental R2 (full-covars): 0.02309 PGS R2 (no covariates): 0.02279 [0.01912, 0.02645] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006388 | PGS001678 (GBE_INI25656) |
PSS006224| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (L) | — | — | R²: 0.05583 [0.04595, 0.0657] Incremental R2 (full-covars): 0.00569 PGS R2 (no covariates): 0.00386 [0.00112, 0.00659] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006389 | PGS001678 (GBE_INI25656) |
PSS006225| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (L) | — | — | R²: 0.04033 [0.03742, 0.04324] Incremental R2 (full-covars): 0.01182 PGS R2 (no covariates): 0.01188 [0.01025, 0.01351] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006390 | PGS001679 (GBE_INI25657) |
PSS006226| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (R) | — | — | R²: 0.09831 [0.08457, 0.11205] Incremental R2 (full-covars): 0.0029 PGS R2 (no covariates): 0.00501 [0.00159, 0.00844] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006391 | PGS001679 (GBE_INI25657) |
PSS006227| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (R) | — | — | R²: 0.16188 [0.12993, 0.19384] Incremental R2 (full-covars): -0.01138 PGS R2 (no covariates): 1e-05 [-0.00029, 0.0003] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006392 | PGS001679 (GBE_INI25657) |
PSS006228| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (R) | — | — | R²: 0.06812 [0.06208, 0.07416] Incremental R2 (full-covars): 0.01891 PGS R2 (no covariates): 0.01805 [0.01477, 0.02132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006393 | PGS001679 (GBE_INI25657) |
PSS006229| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (R) | — | — | R²: 0.09141 [0.07925, 0.10358] Incremental R2 (full-covars): 0.01175 PGS R2 (no covariates): 0.00785 [0.00396, 0.01174] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006394 | PGS001679 (GBE_INI25657) |
PSS006230| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract parahippocampal part of cingulum (R) | — | — | R²: 0.03859 [0.03574, 0.04144] Incremental R2 (full-covars): 0.01385 PGS R2 (no covariates): 0.01401 [0.01225, 0.01577] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006450 | PGS001680 (GBE_INI25669) |
PSS006286| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (L) | — | — | R²: 0.11297 [0.09848, 0.12746] Incremental R2 (full-covars): -0.01658 PGS R2 (no covariates): 3e-05 [-0.00024, 0.0003] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006451 | PGS001680 (GBE_INI25669) |
PSS006287| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (L) | — | — | R²: 0.14289 [0.11218, 0.17359] Incremental R2 (full-covars): 0.06036 PGS R2 (no covariates): 0.07022 [0.04687, 0.09357] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006452 | PGS001680 (GBE_INI25669) |
PSS006288| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (L) | — | — | R²: 0.17164 [0.16312, 0.18017] Incremental R2 (full-covars): 0.04614 PGS R2 (no covariates): 0.03997 [0.0352, 0.04474] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006453 | PGS001680 (GBE_INI25669) |
PSS006289| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (L) | — | — | R²: 0.09585 [0.08346, 0.10825] Incremental R2 (full-covars): 0.02611 PGS R2 (no covariates): 0.02565 [0.01874, 0.03256] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006454 | PGS001680 (GBE_INI25669) |
PSS006290| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (L) | — | — | R²: 0.11063 [0.10617, 0.1151] Incremental R2 (full-covars): 0.03456 PGS R2 (no covariates): 0.03404 [0.03135, 0.03673] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006455 | PGS001681 (GBE_INI25670) |
PSS006291| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (R) | — | — | R²: 0.12627 [0.11118, 0.14136] Incremental R2 (full-covars): -0.00122 PGS R2 (no covariates): 0.00086 [-0.00056, 0.00229] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006456 | PGS001681 (GBE_INI25670) |
PSS006292| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (R) | — | — | R²: 0.08726 [0.06171, 0.11281] Incremental R2 (full-covars): 0.03573 PGS R2 (no covariates): 0.05052 [0.0303, 0.07075] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006457 | PGS001681 (GBE_INI25670) |
PSS006293| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (R) | — | — | R²: 0.155 [0.14674, 0.16327] Incremental R2 (full-covars): 0.04556 PGS R2 (no covariates): 0.04154 [0.03669, 0.0464] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006458 | PGS001681 (GBE_INI25670) |
PSS006294| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (R) | — | — | R²: 0.06454 [0.05402, 0.07506] Incremental R2 (full-covars): 0.01933 PGS R2 (no covariates): 0.02105 [0.01476, 0.02734] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006459 | PGS001681 (GBE_INI25670) |
PSS006295| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract posterior thalamic radiation (R) | — | — | R²: 0.09027 [0.08615, 0.0944] Incremental R2 (full-covars): 0.02924 PGS R2 (no covariates): 0.02845 [0.02597, 0.03092] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006460 | PGS001682 (GBE_INI25671) |
PSS006296| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.08777 [0.07463, 0.1009] Incremental R2 (full-covars): -0.0188 PGS R2 (no covariates): 0.00124 [-0.00047, 0.00295] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006461 | PGS001682 (GBE_INI25671) |
PSS006297| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.15942 [0.12762, 0.19123] Incremental R2 (full-covars): 0.05152 PGS R2 (no covariates): 0.06677 [0.04392, 0.08962] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006462 | PGS001682 (GBE_INI25671) |
PSS006298| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.16866 [0.16018, 0.17714] Incremental R2 (full-covars): 0.05086 PGS R2 (no covariates): 0.04726 [0.04212, 0.05241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006463 | PGS001682 (GBE_INI25671) |
PSS006299| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.06545 [0.05486, 0.07603] Incremental R2 (full-covars): 0.01203 PGS R2 (no covariates): 0.01372 [0.0086, 0.01883] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006464 | PGS001682 (GBE_INI25671) |
PSS006300| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.1258 [0.12112, 0.13048] Incremental R2 (full-covars): 0.05336 PGS R2 (no covariates): 0.05249 [0.04922, 0.05577] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006465 | PGS001683 (GBE_INI25672) |
PSS006301| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.10624 [0.09208, 0.1204] Incremental R2 (full-covars): -0.01727 PGS R2 (no covariates): 0.00059 [-0.00059, 0.00177] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006466 | PGS001683 (GBE_INI25672) |
PSS006302| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.15319 [0.12178, 0.1846] Incremental R2 (full-covars): 0.03937 PGS R2 (no covariates): 0.05766 [0.03622, 0.07911] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006467 | PGS001683 (GBE_INI25672) |
PSS006303| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.15487 [0.14661, 0.16313] Incremental R2 (full-covars): 0.04701 PGS R2 (no covariates): 0.04525 [0.0402, 0.05029] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006468 | PGS001683 (GBE_INI25672) |
PSS006304| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.09962 [0.08704, 0.11221] Incremental R2 (full-covars): 0.01523 PGS R2 (no covariates): 0.0195 [0.01343, 0.02556] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006469 | PGS001683 (GBE_INI25672) |
PSS006305| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.10856 [0.10413, 0.11299] Incremental R2 (full-covars): 0.05119 PGS R2 (no covariates): 0.05142 [0.04818, 0.05467] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006470 | PGS001684 (GBE_INI25673) |
PSS006306| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (L) | — | — | R²: 0.14103 [0.12535, 0.15671] Incremental R2 (full-covars): -0.00384 PGS R2 (no covariates): 0.00067 [-0.00059, 0.00193] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006471 | PGS001684 (GBE_INI25673) |
PSS006307| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (L) | — | — | R²: 0.15994 [0.1281, 0.19178] Incremental R2 (full-covars): 0.02368 PGS R2 (no covariates): 0.02129 [0.00776, 0.03482] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006472 | PGS001684 (GBE_INI25673) |
PSS006308| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (L) | — | — | R²: 0.16947 [0.16098, 0.17796] Incremental R2 (full-covars): 0.03245 PGS R2 (no covariates): 0.02839 [0.02432, 0.03246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006473 | PGS001684 (GBE_INI25673) |
PSS006309| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (L) | — | — | R²: 0.07772 [0.06634, 0.08911] Incremental R2 (full-covars): 0.00884 PGS R2 (no covariates): 0.00486 [0.00179, 0.00794] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006474 | PGS001684 (GBE_INI25673) |
PSS006310| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (L) | — | — | R²: 0.11932 [0.11473, 0.12391] Incremental R2 (full-covars): 0.03262 PGS R2 (no covariates): 0.03386 [0.03118, 0.03655] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006475 | PGS001685 (GBE_INI25674) |
PSS006311| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (R) | — | — | R²: 0.156 [0.13979, 0.1722] Incremental R2 (full-covars): 0.00314 PGS R2 (no covariates): 0.00296 [0.00032, 0.00559] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006476 | PGS001685 (GBE_INI25674) |
PSS006312| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (R) | — | — | R²: 0.12521 [0.09587, 0.15454] Incremental R2 (full-covars): 0.0124 PGS R2 (no covariates): 0.02939 [0.01362, 0.04516] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006477 | PGS001685 (GBE_INI25674) |
PSS006313| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (R) | — | — | R²: 0.16407 [0.15566, 0.17248] Incremental R2 (full-covars): 0.0328 PGS R2 (no covariates): 0.02955 [0.0254, 0.03369] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006478 | PGS001685 (GBE_INI25674) |
PSS006314| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (R) | — | — | R²: 0.07254 [0.06148, 0.0836] Incremental R2 (full-covars): 0.01424 PGS R2 (no covariates): 0.01386 [0.00872, 0.01899] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006479 | PGS001685 (GBE_INI25674) |
PSS006315| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract superior thalamic radiation (R) | — | — | R²: 0.11783 [0.11325, 0.1224] Incremental R2 (full-covars): 0.03772 PGS R2 (no covariates): 0.03798 [0.03515, 0.04081] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006480 | PGS001686 (GBE_INI25675) |
PSS006316| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (L) | — | — | R²: 0.07772 [0.06522, 0.09022] Incremental R2 (full-covars): 0.01227 PGS R2 (no covariates): 0.0128 [0.00737, 0.01823] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006481 | PGS001686 (GBE_INI25675) |
PSS006317| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (L) | — | — | R²: 0.11249 [0.08428, 0.1407] Incremental R2 (full-covars): 0.00083 PGS R2 (no covariates): 0.00087 [-0.00192, 0.00366] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006482 | PGS001686 (GBE_INI25675) |
PSS006318| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (L) | — | — | R²: 0.1454 [0.13731, 0.15349] Incremental R2 (full-covars): 0.02492 PGS R2 (no covariates): 0.03243 [0.0281, 0.03675] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006483 | PGS001686 (GBE_INI25675) |
PSS006319| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (L) | — | — | R²: 0.05479 [0.04499, 0.06458] Incremental R2 (full-covars): 0.00794 PGS R2 (no covariates): 0.01162 [0.0069, 0.01634] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006484 | PGS001686 (GBE_INI25675) |
PSS006320| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (L) | — | — | R²: 0.08052 [0.07658, 0.08446] Incremental R2 (full-covars): 0.01065 PGS R2 (no covariates): 0.01131 [0.00972, 0.01289] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006485 | PGS001687 (GBE_INI25676) |
PSS006321| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (R) | — | — | R²: 0.1207 [0.10585, 0.13555] Incremental R2 (full-covars): 0.00432 PGS R2 (no covariates): 0.0028 [0.00023, 0.00536] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006486 | PGS001687 (GBE_INI25676) |
PSS006322| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (R) | — | — | R²: 0.17864 [0.14574, 0.21153] Incremental R2 (full-covars): 0.05194 PGS R2 (no covariates): 0.04668 [0.02716, 0.06619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006487 | PGS001687 (GBE_INI25676) |
PSS006323| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (R) | — | — | R²: 0.15517 [0.1469, 0.16343] Incremental R2 (full-covars): 0.04515 PGS R2 (no covariates): 0.04354 [0.03858, 0.04849] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006488 | PGS001687 (GBE_INI25676) |
PSS006324| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (R) | — | — | R²: 0.08306 [0.07136, 0.09476] Incremental R2 (full-covars): 0.03116 PGS R2 (no covariates): 0.04136 [0.03272, 0.04999] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006489 | PGS001687 (GBE_INI25676) |
PSS006325| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ICVF in tract uncinate fasciculus (R) | — | — | R²: 0.08961 [0.08549, 0.09372] Incremental R2 (full-covars): 0.025 PGS R2 (no covariates): 0.02534 [0.023, 0.02768] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006520 | PGS001688 (GBE_INI25704) |
PSS006356| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (L) | — | — | R²: 0.05855 [0.04747, 0.06962] Incremental R2 (full-covars): -0.00718 PGS R2 (no covariates): 0.00589 [0.00218, 0.0096] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006521 | PGS001688 (GBE_INI25704) |
PSS006357| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (L) | — | — | R²: 0.06116 [0.03916, 0.08317] Incremental R2 (full-covars): 0.00566 PGS R2 (no covariates): 0.00467 [-0.00178, 0.01111] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006522 | PGS001688 (GBE_INI25704) |
PSS006358| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (L) | — | — | R²: 0.00712 [0.00504, 0.0092] Incremental R2 (full-covars): 0.00135 PGS R2 (no covariates): 0.00163 [0.00063, 0.00263] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006523 | PGS001688 (GBE_INI25704) |
PSS006359| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (L) | — | — | R²: 0.08547 [0.07364, 0.09731] Incremental R2 (full-covars): 0.00946 PGS R2 (no covariates): 0.01028 [0.00583, 0.01472] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006524 | PGS001688 (GBE_INI25704) |
PSS006360| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (L) | — | — | R²: 0.00904 [0.00762, 0.01046] Incremental R2 (full-covars): 0.00441 PGS R2 (no covariates): 0.00444 [0.00344, 0.00545] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006525 | PGS001689 (GBE_INI25705) |
PSS006361| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (R) | — | — | R²: 0.06679 [0.05507, 0.07852] Incremental R2 (full-covars): -0.00916 PGS R2 (no covariates): 0.00033 [-0.00055, 0.00121] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006526 | PGS001689 (GBE_INI25705) |
PSS006362| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (R) | — | — | R²: 0.04632 [0.02687, 0.06577] Incremental R2 (full-covars): -0.01373 PGS R2 (no covariates): 0.00467 [-0.00178, 0.01111] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006527 | PGS001689 (GBE_INI25705) |
PSS006363| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (R) | — | — | R²: 0.01976 [0.01633, 0.02318] Incremental R2 (full-covars): -0.00044 PGS R2 (no covariates): 0.00225 [0.00107, 0.00342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006528 | PGS001689 (GBE_INI25705) |
PSS006364| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (R) | — | — | R²: 0.03296 [0.02519, 0.04074] Incremental R2 (full-covars): 0.01071 PGS R2 (no covariates): 0.00836 [0.00434, 0.01237] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006529 | PGS001689 (GBE_INI25705) |
PSS006365| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract acoustic radiation (R) | — | — | R²: 0.03035 [0.0278, 0.0329] Incremental R2 (full-covars): 0.00543 PGS R2 (no covariates): 0.00632 [0.00513, 0.00751] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006530 | PGS001690 (GBE_INI25707) |
PSS006366| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract anterior thalamic radiation (R) | — | — | R²: 0.20334 [0.18588, 0.22081] Incremental R2 (full-covars): 0.00533 PGS R2 (no covariates): 0.00413 [0.00102, 0.00724] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006531 | PGS001690 (GBE_INI25707) |
PSS006367| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract anterior thalamic radiation (R) | — | — | R²: 0.19487 [0.16119, 0.22855] Incremental R2 (full-covars): -0.01444 PGS R2 (no covariates): 0.03411 [0.0172, 0.05101] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006532 | PGS001690 (GBE_INI25707) |
PSS006368| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract anterior thalamic radiation (R) | — | — | R²: 0.0943 [0.08739, 0.10121] Incremental R2 (full-covars): 0.00377 PGS R2 (no covariates): 0.004 [0.00243, 0.00556] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006533 | PGS001690 (GBE_INI25707) |
PSS006369| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract anterior thalamic radiation (R) | — | — | R²: 0.09092 [0.07878, 0.10305] Incremental R2 (full-covars): -0.00405 PGS R2 (no covariates): 0.00106 [-0.00038, 0.00249] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006534 | PGS001690 (GBE_INI25707) |
PSS006370| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract anterior thalamic radiation (R) | — | — | R²: 0.11814 [0.11357, 0.12272] Incremental R2 (full-covars): 0.00393 PGS R2 (no covariates): 0.00371 [0.0028, 0.00463] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006535 | PGS001691 (GBE_INI25708) |
PSS006371| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.10902 [0.09473, 0.12332] Incremental R2 (full-covars): 0.00064 PGS R2 (no covariates): 0.00285 [0.00026, 0.00544] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006536 | PGS001691 (GBE_INI25708) |
PSS006372| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.06862 [0.0455, 0.09174] Incremental R2 (full-covars): 0.01507 PGS R2 (no covariates): 0.01824 [0.00568, 0.03081] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006537 | PGS001691 (GBE_INI25708) |
PSS006373| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.01414 [0.01123, 0.01705] Incremental R2 (full-covars): 0.00564 PGS R2 (no covariates): 0.00606 [0.00414, 0.00799] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006538 | PGS001691 (GBE_INI25708) |
PSS006374| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.04499 [0.03602, 0.05396] Incremental R2 (full-covars): 0.00834 PGS R2 (no covariates): 0.00905 [0.00488, 0.01323] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006539 | PGS001691 (GBE_INI25708) |
PSS006375| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.01099 [0.00942, 0.01255] Incremental R2 (full-covars): 0.00663 PGS R2 (no covariates): 0.0067 [0.00548, 0.00793] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006540 | PGS001692 (GBE_INI25709) |
PSS006376| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.08586 [0.07284, 0.09888] Incremental R2 (full-covars): -0.00186 PGS R2 (no covariates): 0.0 [-0.00001, 0.00001] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006541 | PGS001692 (GBE_INI25709) |
PSS006377| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.10247 [0.07525, 0.1297] Incremental R2 (full-covars): 0.01283 PGS R2 (no covariates): 0.03503 [0.01792, 0.05215] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006542 | PGS001692 (GBE_INI25709) |
PSS006378| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.01421 [0.01129, 0.01713] Incremental R2 (full-covars): 0.00518 PGS R2 (no covariates): 0.0053 [0.0035, 0.0071] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006543 | PGS001692 (GBE_INI25709) |
PSS006379| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.0646 [0.05408, 0.07513] Incremental R2 (full-covars): 0.00835 PGS R2 (no covariates): 0.01704 [0.01136, 0.02273] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006544 | PGS001692 (GBE_INI25709) |
PSS006380| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.00969 [0.00822, 0.01116] Incremental R2 (full-covars): 0.0057 PGS R2 (no covariates): 0.00608 [0.00491, 0.00725] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006545 | PGS001693 (GBE_INI25716) |
PSS006381| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.15063 [0.13461, 0.16666] Incremental R2 (full-covars): 0.02497 PGS R2 (no covariates): 0.02695 [0.01918, 0.03471] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006546 | PGS001693 (GBE_INI25716) |
PSS006382| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.22219 [0.18745, 0.25694] Incremental R2 (full-covars): 0.01669 PGS R2 (no covariates): 0.01941 [0.00647, 0.03236] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006547 | PGS001693 (GBE_INI25716) |
PSS006383| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.06477 [0.05886, 0.07068] Incremental R2 (full-covars): 0.01624 PGS R2 (no covariates): 0.0157 [0.01263, 0.01876] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006548 | PGS001693 (GBE_INI25716) |
PSS006384| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.07541 [0.06417, 0.08665] Incremental R2 (full-covars): 0.01019 PGS R2 (no covariates): 0.01337 [0.00832, 0.01842] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006549 | PGS001693 (GBE_INI25716) |
PSS006385| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.0711 [0.06736, 0.07484] Incremental R2 (full-covars): 0.02128 PGS R2 (no covariates): 0.02216 [0.01997, 0.02436] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006550 | PGS001694 (GBE_INI25717) |
PSS006386| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.18941 [0.17227, 0.20656] Incremental R2 (full-covars): 0.03946 PGS R2 (no covariates): 0.06545 [0.05383, 0.07707] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006551 | PGS001694 (GBE_INI25717) |
PSS006387| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.16059 [0.12871, 0.19247] Incremental R2 (full-covars): -0.00467 PGS R2 (no covariates): 0.00048 [-0.00159, 0.00255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006552 | PGS001694 (GBE_INI25717) |
PSS006388| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.06651 [0.06053, 0.07249] Incremental R2 (full-covars): 0.02117 PGS R2 (no covariates): 0.02231 [0.01868, 0.02594] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006553 | PGS001694 (GBE_INI25717) |
PSS006389| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.10433 [0.09153, 0.11714] Incremental R2 (full-covars): 0.02501 PGS R2 (no covariates): 0.03195 [0.02429, 0.03962] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006554 | PGS001694 (GBE_INI25717) |
PSS006390| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.07299 [0.06921, 0.07678] Incremental R2 (full-covars): 0.01508 PGS R2 (no covariates): 0.01662 [0.01471, 0.01853] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006555 | PGS001695 (GBE_INI25718) |
PSS006391| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.19586 [0.17857, 0.21316] Incremental R2 (full-covars): 0.04377 PGS R2 (no covariates): 0.07442 [0.06214, 0.08669] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006556 | PGS001695 (GBE_INI25718) |
PSS006392| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.21943 [0.18478, 0.25408] Incremental R2 (full-covars): -0.00233 PGS R2 (no covariates): 0.00423 [-0.00191, 0.01037] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006557 | PGS001695 (GBE_INI25718) |
PSS006393| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.09501 [0.08808, 0.10193] Incremental R2 (full-covars): 0.02192 PGS R2 (no covariates): 0.01908 [0.01571, 0.02244] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006558 | PGS001695 (GBE_INI25718) |
PSS006394| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.08106 [0.06948, 0.09265] Incremental R2 (full-covars): 0.02381 PGS R2 (no covariates): 0.02883 [0.02152, 0.03613] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006559 | PGS001695 (GBE_INI25718) |
PSS006395| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.09229 [0.08813, 0.09646] Incremental R2 (full-covars): 0.02758 PGS R2 (no covariates): 0.0307 [0.02814, 0.03327] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006560 | PGS001696 (GBE_INI25719) |
PSS006396| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.19222 [0.175, 0.20943] Incremental R2 (full-covars): 0.03904 PGS R2 (no covariates): 0.06212 [0.05076, 0.07348] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006561 | PGS001696 (GBE_INI25719) |
PSS006397| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.2376 [0.20238, 0.27282] Incremental R2 (full-covars): 0.00817 PGS R2 (no covariates): 0.00637 [-0.00114, 0.01389] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006562 | PGS001696 (GBE_INI25719) |
PSS006398| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.08837 [0.08164, 0.0951] Incremental R2 (full-covars): 0.01813 PGS R2 (no covariates): 0.01972 [0.0163, 0.02313] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006563 | PGS001696 (GBE_INI25719) |
PSS006399| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.10621 [0.09331, 0.1191] Incremental R2 (full-covars): 0.01645 PGS R2 (no covariates): 0.02301 [0.01645, 0.02957] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006564 | PGS001696 (GBE_INI25719) |
PSS006400| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.1052 [0.10082, 0.10958] Incremental R2 (full-covars): 0.02294 PGS R2 (no covariates): 0.02639 [0.024, 0.02877] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006565 | PGS001697 (GBE_INI25724) |
PSS006401| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract posterior thalamic radiation (R) | — | — | R²: 0.18084 [0.16391, 0.19777] Incremental R2 (full-covars): 0.00362 PGS R2 (no covariates): 0.0035 [0.00063, 0.00636] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006566 | PGS001697 (GBE_INI25724) |
PSS006402| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract posterior thalamic radiation (R) | — | — | R²: 0.16431 [0.13221, 0.19642] Incremental R2 (full-covars): 0.00734 PGS R2 (no covariates): 0.02538 [0.01066, 0.04009] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006567 | PGS001697 (GBE_INI25724) |
PSS006403| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract posterior thalamic radiation (R) | — | — | R²: 0.11673 [0.10923, 0.12422] Incremental R2 (full-covars): 0.00392 PGS R2 (no covariates): 0.00502 [0.00327, 0.00677] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006568 | PGS001697 (GBE_INI25724) |
PSS006404| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract posterior thalamic radiation (R) | — | — | R²: 0.08255 [0.07088, 0.09422] Incremental R2 (full-covars): -0.00669 PGS R2 (no covariates): 0.00338 [0.00081, 0.00594] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006569 | PGS001697 (GBE_INI25724) |
PSS006405| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract posterior thalamic radiation (R) | — | — | R²: 0.11749 [0.11292, 0.12206] Incremental R2 (full-covars): 0.00306 PGS R2 (no covariates): 0.0035 [0.00261, 0.00439] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006570 | PGS001698 (GBE_INI25725) |
PSS006406| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.18297 [0.16598, 0.19995] Incremental R2 (full-covars): 0.02091 PGS R2 (no covariates): 0.03667 [0.02771, 0.04564] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006571 | PGS001698 (GBE_INI25725) |
PSS006407| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.13299 [0.10303, 0.16296] Incremental R2 (full-covars): -0.0167 PGS R2 (no covariates): 0.00049 [-0.00161, 0.0026] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006572 | PGS001698 (GBE_INI25725) |
PSS006408| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.09084 [0.08403, 0.09765] Incremental R2 (full-covars): 0.01724 PGS R2 (no covariates): 0.01772 [0.01447, 0.02097] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006573 | PGS001698 (GBE_INI25725) |
PSS006409| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.09345 [0.08118, 0.10572] Incremental R2 (full-covars): 0.02027 PGS R2 (no covariates): 0.01985 [0.01374, 0.02596] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006574 | PGS001698 (GBE_INI25725) |
PSS006410| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (L) | — | — | R²: 0.09753 [0.09328, 0.10179] Incremental R2 (full-covars): 0.02905 PGS R2 (no covariates): 0.03155 [0.02895, 0.03415] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006575 | PGS001699 (GBE_INI25726) |
PSS006411| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.17485 [0.15808, 0.19162] Incremental R2 (full-covars): 0.00463 PGS R2 (no covariates): 0.00881 [0.00429, 0.01333] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006576 | PGS001699 (GBE_INI25726) |
PSS006412| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.18495 [0.15174, 0.21817] Incremental R2 (full-covars): -0.00972 PGS R2 (no covariates): 0.00025 [-0.00125, 0.00176] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006577 | PGS001699 (GBE_INI25726) |
PSS006413| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.09222 [0.08538, 0.09907] Incremental R2 (full-covars): 0.01296 PGS R2 (no covariates): 0.01365 [0.01079, 0.01652] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006578 | PGS001699 (GBE_INI25726) |
PSS006414| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.09301 [0.08076, 0.10525] Incremental R2 (full-covars): 0.00712 PGS R2 (no covariates): 0.00451 [0.00155, 0.00747] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006579 | PGS001699 (GBE_INI25726) |
PSS006415| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior longitudinal fasciculus (R) | — | — | R²: 0.118 [0.11343, 0.12258] Incremental R2 (full-covars): 0.02091 PGS R2 (no covariates): 0.02729 [0.02486, 0.02971] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006580 | PGS001700 (GBE_INI25727) |
PSS006416| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (L) | — | — | R²: 0.18861 [0.17148, 0.20574] Incremental R2 (full-covars): 0.00979 PGS R2 (no covariates): 0.01638 [0.01026, 0.0225] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006581 | PGS001700 (GBE_INI25727) |
PSS006417| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (L) | — | — | R²: 0.12554 [0.09618, 0.1549] Incremental R2 (full-covars): 0.00581 PGS R2 (no covariates): 0.00596 [-0.00131, 0.01323] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006582 | PGS001700 (GBE_INI25727) |
PSS006418| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (L) | — | — | R²: 0.10024 [0.09316, 0.10731] Incremental R2 (full-covars): 0.0037 PGS R2 (no covariates): 0.00699 [0.00493, 0.00905] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006583 | PGS001700 (GBE_INI25727) |
PSS006419| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (L) | — | — | R²: 0.08535 [0.07352, 0.09718] Incremental R2 (full-covars): 0.00944 PGS R2 (no covariates): 0.00661 [0.00304, 0.01019] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006584 | PGS001700 (GBE_INI25727) |
PSS006420| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (L) | — | — | R²: 0.09353 [0.08935, 0.09772] Incremental R2 (full-covars): 0.004 PGS R2 (no covariates): 0.00477 [0.00373, 0.0058] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006585 | PGS001701 (GBE_INI25728) |
PSS006421| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (R) | — | — | R²: 0.20936 [0.19177, 0.22694] Incremental R2 (full-covars): 0.00169 PGS R2 (no covariates): 0.001 [-0.00054, 0.00253] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006586 | PGS001701 (GBE_INI25728) |
PSS006422| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (R) | — | — | R²: 0.13329 [0.1033, 0.16327] Incremental R2 (full-covars): 0.0072 PGS R2 (no covariates): 0.01458 [0.0033, 0.02585] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006587 | PGS001701 (GBE_INI25728) |
PSS006423| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (R) | — | — | R²: 0.09555 [0.08861, 0.10249] Incremental R2 (full-covars): 0.00468 PGS R2 (no covariates): 0.00552 [0.00368, 0.00735] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006588 | PGS001701 (GBE_INI25728) |
PSS006424| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (R) | — | — | R²: 0.09773 [0.08524, 0.11022] Incremental R2 (full-covars): 0.00249 PGS R2 (no covariates): 0.001 [-0.0004, 0.0024] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006589 | PGS001701 (GBE_INI25728) |
PSS006425| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract superior thalamic radiation (R) | — | — | R²: 0.09541 [0.09119, 0.09963] Incremental R2 (full-covars): 0.00435 PGS R2 (no covariates): 0.00566 [0.00453, 0.00679] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006590 | PGS001702 (GBE_INI25729) |
PSS006426| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (L) | — | — | R²: 0.09962 [0.08581, 0.11343] Incremental R2 (full-covars): -0.00655 PGS R2 (no covariates): 0.00165 [-0.00032, 0.00362] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006591 | PGS001702 (GBE_INI25729) |
PSS006427| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (L) | — | — | R²: 0.22063 [0.18594, 0.25533] Incremental R2 (full-covars): -0.01343 PGS R2 (no covariates): 0.01473 [0.0034, 0.02606] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006592 | PGS001702 (GBE_INI25729) |
PSS006428| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (L) | — | — | R²: 0.07051 [0.06438, 0.07664] Incremental R2 (full-covars): 0.00505 PGS R2 (no covariates): 0.0057 [0.00384, 0.00757] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006593 | PGS001702 (GBE_INI25729) |
PSS006429| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (L) | — | — | R²: 0.0876 [0.07564, 0.09956] Incremental R2 (full-covars): -0.0032 PGS R2 (no covariates): 1e-05 [-0.0001, 0.00011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006594 | PGS001702 (GBE_INI25729) |
PSS006430| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (L) | — | — | R²: 0.05449 [0.05115, 0.05782] Incremental R2 (full-covars): 0.0096 PGS R2 (no covariates): 0.01087 [0.00931, 0.01243] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006595 | PGS001703 (GBE_INI25730) |
PSS006431| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (R) | — | — | R²: 0.09587 [0.08226, 0.10947] Incremental R2 (full-covars): 0.00247 PGS R2 (no covariates): 0.00424 [0.00109, 0.0074] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006596 | PGS001703 (GBE_INI25730) |
PSS006432| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (R) | — | — | R²: 0.20947 [0.17518, 0.24376] Incremental R2 (full-covars): -0.00171 PGS R2 (no covariates): 0.00945 [0.00033, 0.01858] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006597 | PGS001703 (GBE_INI25730) |
PSS006433| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (R) | — | — | R²: 0.05633 [0.05077, 0.06189] Incremental R2 (full-covars): 0.00315 PGS R2 (no covariates): 0.00377 [0.00225, 0.00529] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006598 | PGS001703 (GBE_INI25730) |
PSS006434| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (R) | — | — | R²: 0.16764 [0.15255, 0.18273] Incremental R2 (full-covars): 0.00011 PGS R2 (no covariates): 0.00223 [0.00014, 0.00432] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006599 | PGS001703 (GBE_INI25730) |
PSS006435| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA ISOVF in tract uncinate fasciculus (R) | — | — | R²: 0.05731 [0.05391, 0.06072] Incremental R2 (full-covars): 0.00889 PGS R2 (no covariates): 0.01225 [0.0106, 0.0139] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006155 | PGS001704 (GBE_INI25580) |
PSS005991| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract forceps minor | — | — | R²: 0.09444 [0.08091, 0.10797] Incremental R2 (full-covars): 0.0323 PGS R2 (no covariates): 0.04672 [0.0367, 0.05673] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006156 | PGS001704 (GBE_INI25580) |
PSS005992| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract forceps minor | — | — | R²: 0.2065 [0.17233, 0.24068] Incremental R2 (full-covars): 0.00822 PGS R2 (no covariates): 0.01144 [0.00142, 0.02147] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006157 | PGS001704 (GBE_INI25580) |
PSS005993| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract forceps minor | — | — | R²: 0.09119 [0.08438, 0.09801] Incremental R2 (full-covars): 0.01253 PGS R2 (no covariates): 0.01012 [0.00765, 0.01259] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006158 | PGS001704 (GBE_INI25580) |
PSS005994| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract forceps minor | — | — | R²: 0.01775 [0.01196, 0.02355] Incremental R2 (full-covars): -0.00493 PGS R2 (no covariates): 0.00138 [-0.00026, 0.00302] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006159 | PGS001704 (GBE_INI25580) |
PSS005995| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract forceps minor | — | — | R²: 0.07647 [0.07261, 0.08032] Incremental R2 (full-covars): 0.01287 PGS R2 (no covariates): 0.01226 [0.0106, 0.01391] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006160 | PGS001705 (GBE_INI25581) |
PSS005996| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.14714 [0.13124, 0.16304] Incremental R2 (full-covars): 0.02101 PGS R2 (no covariates): 0.04322 [0.03356, 0.05289] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006161 | PGS001705 (GBE_INI25581) |
PSS005997| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.16717 [0.1349, 0.19944] Incremental R2 (full-covars): 0.04017 PGS R2 (no covariates): 0.03601 [0.01867, 0.05335] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006162 | PGS001705 (GBE_INI25581) |
PSS005998| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.10384 [0.09667, 0.11101] Incremental R2 (full-covars): 0.00584 PGS R2 (no covariates): 0.00534 [0.00354, 0.00715] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006163 | PGS001705 (GBE_INI25581) |
PSS005999| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.02237 [0.01589, 0.02884] Incremental R2 (full-covars): -0.00099 PGS R2 (no covariates): 9e-05 [-0.00033, 0.00052] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006164 | PGS001705 (GBE_INI25581) |
PSS006000| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.08335 [0.07936, 0.08735] Incremental R2 (full-covars): 0.00476 PGS R2 (no covariates): 0.00564 [0.00451, 0.00677] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006165 | PGS001706 (GBE_INI25582) |
PSS006001| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.15521 [0.13904, 0.17139] Incremental R2 (full-covars): 0.00582 PGS R2 (no covariates): 0.00819 [0.00383, 0.01256] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006166 | PGS001706 (GBE_INI25582) |
PSS006002| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.27054 [0.23459, 0.3065] Incremental R2 (full-covars): 0.03513 PGS R2 (no covariates): 0.04797 [0.02821, 0.06773] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006167 | PGS001706 (GBE_INI25582) |
PSS006003| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.11607 [0.1086, 0.12355] Incremental R2 (full-covars): 0.01031 PGS R2 (no covariates): 0.00989 [0.00745, 0.01234] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006168 | PGS001706 (GBE_INI25582) |
PSS006004| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.02769 [0.02052, 0.03485] Incremental R2 (full-covars): -0.00115 PGS R2 (no covariates): 0.00037 [-0.00048, 0.00121] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006169 | PGS001706 (GBE_INI25582) |
PSS006005| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.11029 [0.10583, 0.11475] Incremental R2 (full-covars): 0.00726 PGS R2 (no covariates): 0.00787 [0.00654, 0.00919] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006170 | PGS001707 (GBE_INI25583) |
PSS006006| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.14137 [0.12568, 0.15706] Incremental R2 (full-covars): 0.01001 PGS R2 (no covariates): 0.01462 [0.00883, 0.02041] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006171 | PGS001707 (GBE_INI25583) |
PSS006007| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.21344 [0.179, 0.24788] Incremental R2 (full-covars): 0.02446 PGS R2 (no covariates): 0.03461 [0.01759, 0.05163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006172 | PGS001707 (GBE_INI25583) |
PSS006008| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.08209 [0.07556, 0.08862] Incremental R2 (full-covars): 0.01083 PGS R2 (no covariates): 0.00982 [0.00738, 0.01226] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006173 | PGS001707 (GBE_INI25583) |
PSS006009| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.02513 [0.01829, 0.03198] Incremental R2 (full-covars): 0.00112 PGS R2 (no covariates): 0.00175 [-0.0001, 0.00361] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006174 | PGS001707 (GBE_INI25583) |
PSS006010| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.0718 [0.06804, 0.07555] Incremental R2 (full-covars): 0.00411 PGS R2 (no covariates): 0.00433 [0.00334, 0.00532] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006175 | PGS001708 (GBE_INI25584) |
PSS006011| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.19016 [0.173, 0.20733] Incremental R2 (full-covars): 0.0024 PGS R2 (no covariates): 0.00744 [0.00328, 0.0116] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006176 | PGS001708 (GBE_INI25584) |
PSS006012| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.32074 [0.28429, 0.3572] Incremental R2 (full-covars): 0.02727 PGS R2 (no covariates): 0.0371 [0.01953, 0.05468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006177 | PGS001708 (GBE_INI25584) |
PSS006013| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.09672 [0.08974, 0.1037] Incremental R2 (full-covars): 0.01041 PGS R2 (no covariates): 0.01045 [0.00794, 0.01296] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006178 | PGS001708 (GBE_INI25584) |
PSS006014| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.10482 [0.09199, 0.11766] Incremental R2 (full-covars): -0.00062 PGS R2 (no covariates): 0.00297 [0.00056, 0.00538] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006179 | PGS001708 (GBE_INI25584) |
PSS006015| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.09052 [0.08639, 0.09465] Incremental R2 (full-covars): 0.0051 PGS R2 (no covariates): 0.00403 [0.00307, 0.00498] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006180 | PGS001709 (GBE_INI25590) |
PSS006016| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.13522 [0.11976, 0.15068] Incremental R2 (full-covars): -0.006 PGS R2 (no covariates): 0.00232 [-0.00001, 0.00466] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006181 | PGS001709 (GBE_INI25590) |
PSS006017| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.16914 [0.13676, 0.20153] Incremental R2 (full-covars): 0.04582 PGS R2 (no covariates): 0.04554 [0.02623, 0.06484] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006182 | PGS001709 (GBE_INI25590) |
PSS006018| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.13703 [0.1291, 0.14497] Incremental R2 (full-covars): 0.00575 PGS R2 (no covariates): 0.00892 [0.00659, 0.01124] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006183 | PGS001709 (GBE_INI25590) |
PSS006019| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.0251 [0.01827, 0.03194] Incremental R2 (full-covars): 0.00102 PGS R2 (no covariates): 0.00225 [0.00016, 0.00435] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006184 | PGS001709 (GBE_INI25590) |
PSS006020| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.12633 [0.12165, 0.13102] Incremental R2 (full-covars): 0.0137 PGS R2 (no covariates): 0.01471 [0.0129, 0.01651] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006185 | PGS001710 (GBE_INI25591) |
PSS006021| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (R) | — | — | R²: 0.20896 [0.19138, 0.22653] Incremental R2 (full-covars): -0.00676 PGS R2 (no covariates): 0.00138 [-0.00042, 0.00318] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006186 | PGS001710 (GBE_INI25591) |
PSS006022| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (R) | — | — | R²: 0.20047 [0.16655, 0.2344] Incremental R2 (full-covars): 0.02663 PGS R2 (no covariates): 0.04801 [0.02824, 0.06778] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006187 | PGS001710 (GBE_INI25591) |
PSS006023| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (R) | — | — | R²: 0.14449 [0.13641, 0.15257] Incremental R2 (full-covars): 0.0088 PGS R2 (no covariates): 0.00726 [0.00516, 0.00936] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006188 | PGS001710 (GBE_INI25591) |
PSS006024| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (R) | — | — | R²: 0.1321 [0.11813, 0.14607] Incremental R2 (full-covars): 0.01479 PGS R2 (no covariates): 0.01282 [0.00787, 0.01777] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006189 | PGS001710 (GBE_INI25591) |
PSS006025| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior longitudinal fasciculus (R) | — | — | R²: 0.12948 [0.12475, 0.1342] Incremental R2 (full-covars): 0.00946 PGS R2 (no covariates): 0.01002 [0.00853, 0.01152] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006190 | PGS001711 (GBE_INI25592) |
PSS006026| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (L) | — | — | R²: 0.23362 [0.21561, 0.25162] Incremental R2 (full-covars): -0.00553 PGS R2 (no covariates): 0.00093 [-0.00055, 0.00241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006191 | PGS001711 (GBE_INI25592) |
PSS006027| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (L) | — | — | R²: 0.14832 [0.11723, 0.1794] Incremental R2 (full-covars): 0.02412 PGS R2 (no covariates): 0.0461 [0.02669, 0.06551] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006192 | PGS001711 (GBE_INI25592) |
PSS006028| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (L) | — | — | R²: 0.21414 [0.20511, 0.22317] Incremental R2 (full-covars): 0.0034 PGS R2 (no covariates): 0.00254 [0.00129, 0.00378] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006193 | PGS001711 (GBE_INI25592) |
PSS006029| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (L) | — | — | R²: 0.05613 [0.04623, 0.06603] Incremental R2 (full-covars): -0.00835 PGS R2 (no covariates): 0.01143 [0.00675, 0.01611] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006194 | PGS001711 (GBE_INI25592) |
PSS006030| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (L) | — | — | R²: 0.20391 [0.19848, 0.20933] Incremental R2 (full-covars): 0.00812 PGS R2 (no covariates): 0.00783 [0.00651, 0.00916] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006195 | PGS001712 (GBE_INI25593) |
PSS006031| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (R) | — | — | R²: 0.29492 [0.27631, 0.31353] Incremental R2 (full-covars): -0.00354 PGS R2 (no covariates): 0.00465 [0.00135, 0.00795] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006196 | PGS001712 (GBE_INI25593) |
PSS006032| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (R) | — | — | R²: 0.19311 [0.15951, 0.22671] Incremental R2 (full-covars): 0.0254 PGS R2 (no covariates): 0.06278 [0.04053, 0.08503] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006197 | PGS001712 (GBE_INI25593) |
PSS006033| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (R) | — | — | R²: 0.22869 [0.21953, 0.23785] Incremental R2 (full-covars): 0.00119 PGS R2 (no covariates): 0.00186 [0.00079, 0.00293] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006198 | PGS001712 (GBE_INI25593) |
PSS006034| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (R) | — | — | R²: 0.04753 [0.03833, 0.05672] Incremental R2 (full-covars): -0.00751 PGS R2 (no covariates): 0.00721 [0.00348, 0.01094] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006199 | PGS001712 (GBE_INI25593) |
PSS006035| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract superior thalamic radiation (R) | — | — | R²: 0.20238 [0.19696, 0.20779] Incremental R2 (full-covars): 0.00443 PGS R2 (no covariates): 0.00614 [0.00497, 0.00732] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006200 | PGS001713 (GBE_INI25594) |
PSS006036| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract uncinate fasciculus (L) | — | — | R²: 0.10999 [0.09564, 0.12433] Incremental R2 (full-covars): 0.00364 PGS R2 (no covariates): 0.00208 [-0.00013, 0.00429] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006201 | PGS001713 (GBE_INI25594) |
PSS006037| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract uncinate fasciculus (L) | — | — | R²: 0.1772 [0.14437, 0.21002] Incremental R2 (full-covars): 0.0013 PGS R2 (no covariates): 0.00042 [-0.00152, 0.00237] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006202 | PGS001713 (GBE_INI25594) |
PSS006038| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract uncinate fasciculus (L) | — | — | R²: 0.12781 [0.12007, 0.13556] Incremental R2 (full-covars): 0.00468 PGS R2 (no covariates): 0.00292 [0.00158, 0.00426] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006203 | PGS001713 (GBE_INI25594) |
PSS006039| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract uncinate fasciculus (L) | — | — | R²: 0.16441 [0.14941, 0.17941] Incremental R2 (full-covars): 0.00538 PGS R2 (no covariates): 0.01217 [0.00734, 0.01699] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006204 | PGS001713 (GBE_INI25594) |
PSS006040| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L1 in tract uncinate fasciculus (L) | — | — | R²: 0.08773 [0.08365, 0.09181] Incremental R2 (full-covars): 0.00616 PGS R2 (no covariates): 0.00682 [0.00558, 0.00805] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006205 | PGS001714 (GBE_INI25597) |
PSS006041| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract acoustic radiation (R) | — | — | R²: 0.05756 [0.04657, 0.06855] Incremental R2 (full-covars): -0.01728 PGS R2 (no covariates): 0.00292 [0.0003, 0.00554] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006206 | PGS001714 (GBE_INI25597) |
PSS006042| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract acoustic radiation (R) | — | — | R²: 0.07354 [0.04973, 0.09735] Incremental R2 (full-covars): 0.01667 PGS R2 (no covariates): 0.01811 [0.00559, 0.03064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006207 | PGS001714 (GBE_INI25597) |
PSS006043| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract acoustic radiation (R) | — | — | R²: 0.03833 [0.03365, 0.04301] Incremental R2 (full-covars): -0.0056 PGS R2 (no covariates): 0.00138 [0.00046, 0.0023] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006208 | PGS001714 (GBE_INI25597) |
PSS006044| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract acoustic radiation (R) | — | — | R²: 0.0311 [0.02354, 0.03867] Incremental R2 (full-covars): -0.00023 PGS R2 (no covariates): 0.00161 [-0.00017, 0.00338] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006209 | PGS001714 (GBE_INI25597) |
PSS006045| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract acoustic radiation (R) | — | — | R²: 0.03405 [0.03136, 0.03674] Incremental R2 (full-covars): 0.00148 PGS R2 (no covariates): 0.00452 [0.00351, 0.00553] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006210 | PGS001715 (GBE_INI25598) |
PSS006046| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (L) | — | — | R²: 0.20199 [0.18455, 0.21942] Incremental R2 (full-covars): 0.00283 PGS R2 (no covariates): 0.00454 [0.00128, 0.0078] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006211 | PGS001715 (GBE_INI25598) |
PSS006047| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (L) | — | — | R²: 0.23223 [0.19717, 0.26729] Incremental R2 (full-covars): 0.0091 PGS R2 (no covariates): 0.01234 [0.00194, 0.02273] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006212 | PGS001715 (GBE_INI25598) |
PSS006048| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (L) | — | — | R²: 0.2385 [0.22927, 0.24774] Incremental R2 (full-covars): 0.00484 PGS R2 (no covariates): 0.00607 [0.00415, 0.00799] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006213 | PGS001715 (GBE_INI25598) |
PSS006049| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (L) | — | — | R²: 0.09505 [0.0827, 0.1074] Incremental R2 (full-covars): 0.00035 PGS R2 (no covariates): 0.00054 [-0.00049, 0.00157] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006214 | PGS001715 (GBE_INI25598) |
PSS006050| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (L) | — | — | R²: 0.17978 [0.17453, 0.18503] Incremental R2 (full-covars): 0.00382 PGS R2 (no covariates): 0.00347 [0.00258, 0.00436] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006215 | PGS001716 (GBE_INI25599) |
PSS006051| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (R) | — | — | R²: 0.21025 [0.19265, 0.22786] Incremental R2 (full-covars): 0.0086 PGS R2 (no covariates): 0.00266 [0.00016, 0.00516] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006216 | PGS001716 (GBE_INI25599) |
PSS006052| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (R) | — | — | R²: 0.22117 [0.18646, 0.25588] Incremental R2 (full-covars): 0.00874 PGS R2 (no covariates): 0.01248 [0.00202, 0.02293] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006217 | PGS001716 (GBE_INI25599) |
PSS006053| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (R) | — | — | R²: 0.24099 [0.23173, 0.25024] Incremental R2 (full-covars): 0.00232 PGS R2 (no covariates): 0.00367 [0.00217, 0.00517] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006218 | PGS001716 (GBE_INI25599) |
PSS006054| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (R) | — | — | R²: 0.08554 [0.07369, 0.09738] Incremental R2 (full-covars): 0.00209 PGS R2 (no covariates): 0.00538 [0.00215, 0.00861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006219 | PGS001716 (GBE_INI25599) |
PSS006055| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract anterior thalamic radiation (R) | — | — | R²: 0.18699 [0.18169, 0.1923] Incremental R2 (full-covars): 0.00492 PGS R2 (no covariates): 0.00469 [0.00366, 0.00572] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006220 | PGS001717 (GBE_INI25600) |
PSS006056| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.11425 [0.0997, 0.1288] Incremental R2 (full-covars): 0.00154 PGS R2 (no covariates): 0.00055 [-0.00059, 0.00169] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006221 | PGS001717 (GBE_INI25600) |
PSS006057| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.12969 [0.09999, 0.15939] Incremental R2 (full-covars): 0.02073 PGS R2 (no covariates): 0.10175 [0.0746, 0.1289] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006222 | PGS001717 (GBE_INI25600) |
PSS006058| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.11898 [0.11144, 0.12653] Incremental R2 (full-covars): 0.00373 PGS R2 (no covariates): 0.00363 [0.00214, 0.00512] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006223 | PGS001717 (GBE_INI25600) |
PSS006059| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.07356 [0.06243, 0.08468] Incremental R2 (full-covars): 0.00043 PGS R2 (no covariates): 0.00351 [0.0009, 0.00613] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006224 | PGS001717 (GBE_INI25600) |
PSS006060| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.09554 [0.09132, 0.09976] Incremental R2 (full-covars): 0.00594 PGS R2 (no covariates): 0.00719 [0.00592, 0.00846] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006225 | PGS001718 (GBE_INI25601) |
PSS006061| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.09316 [0.0797, 0.10661] Incremental R2 (full-covars): -0.00407 PGS R2 (no covariates): 0.00131 [-0.00045, 0.00307] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006226 | PGS001718 (GBE_INI25601) |
PSS006062| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.20268 [0.16867, 0.2367] Incremental R2 (full-covars): 0.02034 PGS R2 (no covariates): 0.04312 [0.02429, 0.06195] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006227 | PGS001718 (GBE_INI25601) |
PSS006063| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.09432 [0.08741, 0.10123] Incremental R2 (full-covars): 0.00705 PGS R2 (no covariates): 0.00886 [0.00654, 0.01117] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006228 | PGS001718 (GBE_INI25601) |
PSS006064| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.05054 [0.04109, 0.05999] Incremental R2 (full-covars): 0.00156 PGS R2 (no covariates): 0.00701 [0.00333, 0.01069] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006229 | PGS001718 (GBE_INI25601) |
PSS006065| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.08373 [0.07972, 0.08773] Incremental R2 (full-covars): 0.00885 PGS R2 (no covariates): 0.00882 [0.00741, 0.01022] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006230 | PGS001719 (GBE_INI25606) |
PSS006066| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps major | — | — | R²: 0.05007 [0.03974, 0.0604] Incremental R2 (full-covars): -0.01346 PGS R2 (no covariates): 0.00019 [-0.00048, 0.00086] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006231 | PGS001719 (GBE_INI25606) |
PSS006067| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps major | — | — | R²: 0.14096 [0.11039, 0.17152] Incremental R2 (full-covars): 0.02113 PGS R2 (no covariates): 0.023 [0.00896, 0.03704] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006232 | PGS001719 (GBE_INI25606) |
PSS006068| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps major | — | — | R²: 0.02182 [0.01823, 0.02541] Incremental R2 (full-covars): 0.01368 PGS R2 (no covariates): 0.01249 [0.00975, 0.01523] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006233 | PGS001719 (GBE_INI25606) |
PSS006069| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps major | — | — | R²: 0.05136 [0.04184, 0.06088] Incremental R2 (full-covars): 0.00212 PGS R2 (no covariates): 0.00362 [0.00096, 0.00627] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006234 | PGS001719 (GBE_INI25606) |
PSS006070| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps major | — | — | R²: 0.01397 [0.01221, 0.01573] Incremental R2 (full-covars): 0.00881 PGS R2 (no covariates): 0.00839 [0.00702, 0.00976] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006236 | PGS001720 (GBE_INI25607) |
PSS006072| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps minor | — | — | R²: 0.20638 [0.17221, 0.24055] Incremental R2 (full-covars): 0.05312 PGS R2 (no covariates): 0.08505 [0.05977, 0.11034] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006237 | PGS001720 (GBE_INI25607) |
PSS006073| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps minor | — | — | R²: 0.15333 [0.1451, 0.16156] Incremental R2 (full-covars): 0.02498 PGS R2 (no covariates): 0.02881 [0.02472, 0.03291] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006238 | PGS001720 (GBE_INI25607) |
PSS006074| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps minor | — | — | R²: 0.05908 [0.04896, 0.06921] Incremental R2 (full-covars): 0.00262 PGS R2 (no covariates): 0.0042 [0.00134, 0.00705] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006235 | PGS001720 (GBE_INI25607) |
PSS006071| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps minor | — | — | R²: 0.09019 [0.07691, 0.10347] Incremental R2 (full-covars): 0.00716 PGS R2 (no covariates): 0.00802 [0.0037, 0.01234] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006239 | PGS001720 (GBE_INI25607) |
PSS006075| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract forceps minor | — | — | R²: 0.11584 [0.11129, 0.12038] Incremental R2 (full-covars): 0.03045 PGS R2 (no covariates): 0.02954 [0.02702, 0.03206] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006240 | PGS001721 (GBE_INI25608) |
PSS006076| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.13752 [0.12197, 0.15307] Incremental R2 (full-covars): -0.01648 PGS R2 (no covariates): 0.00537 [0.00183, 0.00891] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006241 | PGS001721 (GBE_INI25608) |
PSS006077| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.14406 [0.11327, 0.17484] Incremental R2 (full-covars): 0.03258 PGS R2 (no covariates): 0.04485 [0.02568, 0.06402] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006242 | PGS001721 (GBE_INI25608) |
PSS006078| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.1731 [0.16455, 0.18164] Incremental R2 (full-covars): 0.02063 PGS R2 (no covariates): 0.01829 [0.015, 0.02159] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006243 | PGS001721 (GBE_INI25608) |
PSS006079| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.07285 [0.06177, 0.08393] Incremental R2 (full-covars): 0.00209 PGS R2 (no covariates): 0.00557 [0.00229, 0.00886] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006244 | PGS001721 (GBE_INI25608) |
PSS006080| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.14262 [0.13773, 0.1475] Incremental R2 (full-covars): 0.01425 PGS R2 (no covariates): 0.01424 [0.01247, 0.01602] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006245 | PGS001722 (GBE_INI25609) |
PSS006081| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.18558 [0.16853, 0.20263] Incremental R2 (full-covars): -0.00308 PGS R2 (no covariates): 0.00031 [-0.00055, 0.00118] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006246 | PGS001722 (GBE_INI25609) |
PSS006082| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.21181 [0.17744, 0.24619] Incremental R2 (full-covars): 0.04535 PGS R2 (no covariates): 0.06612 [0.04336, 0.08888] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006247 | PGS001722 (GBE_INI25609) |
PSS006083| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.16477 [0.15635, 0.17319] Incremental R2 (full-covars): 0.01354 PGS R2 (no covariates): 0.01365 [0.01079, 0.01651] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006248 | PGS001722 (GBE_INI25609) |
PSS006084| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.04448 [0.03556, 0.0534] Incremental R2 (full-covars): -0.00739 PGS R2 (no covariates): 0.00018 [-0.00041, 0.00077] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006249 | PGS001722 (GBE_INI25609) |
PSS006085| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.13977 [0.13491, 0.14462] Incremental R2 (full-covars): 0.01696 PGS R2 (no covariates): 0.01561 [0.01375, 0.01746] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006250 | PGS001723 (GBE_INI25610) |
PSS006086| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.152 [0.13593, 0.16807] Incremental R2 (full-covars): -0.00729 PGS R2 (no covariates): 0.0001 [-0.00039, 0.00058] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006251 | PGS001723 (GBE_INI25610) |
PSS006087| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.14462 [0.11379, 0.17545] Incremental R2 (full-covars): 0.0334 PGS R2 (no covariates): 0.0464 [0.02693, 0.06586] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006252 | PGS001723 (GBE_INI25610) |
PSS006088| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.17083 [0.16232, 0.17934] Incremental R2 (full-covars): 0.01907 PGS R2 (no covariates): 0.01465 [0.01169, 0.01762] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006253 | PGS001723 (GBE_INI25610) |
PSS006089| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.05382 [0.0441, 0.06354] Incremental R2 (full-covars): -0.00773 PGS R2 (no covariates): 2e-05 [-0.00016, 0.0002] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006254 | PGS001723 (GBE_INI25610) |
PSS006090| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.13067 [0.12593, 0.13542] Incremental R2 (full-covars): 0.01865 PGS R2 (no covariates): 0.01892 [0.01688, 0.02096] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006255 | PGS001724 (GBE_INI25611) |
PSS006091| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.17275 [0.15604, 0.18946] Incremental R2 (full-covars): -0.00177 PGS R2 (no covariates): 0.0004 [-0.00057, 0.00138] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006256 | PGS001724 (GBE_INI25611) |
PSS006092| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.15975 [0.12793, 0.19158] Incremental R2 (full-covars): 0.00262 PGS R2 (no covariates): 0.00966 [0.00044, 0.01889] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006257 | PGS001724 (GBE_INI25611) |
PSS006093| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.16317 [0.15478, 0.17157] Incremental R2 (full-covars): 0.01676 PGS R2 (no covariates): 0.01464 [0.01168, 0.01761] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006258 | PGS001724 (GBE_INI25611) |
PSS006094| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.12212 [0.10854, 0.13571] Incremental R2 (full-covars): 0.00278 PGS R2 (no covariates): 0.01057 [0.00607, 0.01508] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006259 | PGS001724 (GBE_INI25611) |
PSS006095| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.12615 [0.12147, 0.13084] Incremental R2 (full-covars): 0.01606 PGS R2 (no covariates): 0.0147 [0.0129, 0.0165] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006260 | PGS001725 (GBE_INI25617) |
PSS006096| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.05761 [0.04661, 0.0686] Incremental R2 (full-covars): -0.06215 PGS R2 (no covariates): 0.00225 [-0.00005, 0.00456] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006261 | PGS001725 (GBE_INI25617) |
PSS006097| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.16186 [0.1299, 0.19381] Incremental R2 (full-covars): 0.04676 PGS R2 (no covariates): 0.0323 [0.01582, 0.04878] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006262 | PGS001725 (GBE_INI25617) |
PSS006098| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.15143 [0.14323, 0.15963] Incremental R2 (full-covars): 0.01912 PGS R2 (no covariates): 0.01323 [0.01041, 0.01604] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006263 | PGS001725 (GBE_INI25617) |
PSS006099| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.02654 [0.01952, 0.03357] Incremental R2 (full-covars): -0.0111 PGS R2 (no covariates): 0.01057 [0.00607, 0.01508] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006264 | PGS001725 (GBE_INI25617) |
PSS006100| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.12398 [0.11932, 0.12864] Incremental R2 (full-covars): 0.02127 PGS R2 (no covariates): 0.02747 [0.02504, 0.02991] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006265 | PGS001726 (GBE_INI25619) |
PSS006101| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior thalamic radiation (L) | — | — | R²: 0.15511 [0.13894, 0.17129] Incremental R2 (full-covars): -0.00494 PGS R2 (no covariates): 0.00381 [0.00082, 0.0068] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006266 | PGS001726 (GBE_INI25619) |
PSS006102| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior thalamic radiation (L) | — | — | R²: 0.17023 [0.13778, 0.20267] Incremental R2 (full-covars): 0.02145 PGS R2 (no covariates): 0.02898 [0.01332, 0.04465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006267 | PGS001726 (GBE_INI25619) |
PSS006103| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior thalamic radiation (L) | — | — | R²: 0.12309 [0.11545, 0.13073] Incremental R2 (full-covars): 0.00709 PGS R2 (no covariates): 0.00981 [0.00737, 0.01225] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006268 | PGS001726 (GBE_INI25619) |
PSS006104| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior thalamic radiation (L) | — | — | R²: 0.0348 [0.02683, 0.04277] Incremental R2 (full-covars): 0.00381 PGS R2 (no covariates): 0.00323 [0.00072, 0.00573] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006269 | PGS001726 (GBE_INI25619) |
PSS006105| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract superior thalamic radiation (L) | — | — | R²: 0.10496 [0.10058, 0.10934] Incremental R2 (full-covars): 0.01321 PGS R2 (no covariates): 0.0149 [0.01308, 0.01671] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006270 | PGS001727 (GBE_INI25621) |
PSS006106| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (L) | — | — | R²: 0.0711 [0.05906, 0.08314] Incremental R2 (full-covars): -0.00886 PGS R2 (no covariates): 0.00053 [-0.00059, 0.00165] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006271 | PGS001727 (GBE_INI25621) |
PSS006107| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (L) | — | — | R²: 0.21405 [0.17959, 0.24851] Incremental R2 (full-covars): 0.00481 PGS R2 (no covariates): 0.00267 [-0.00221, 0.00756] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006272 | PGS001727 (GBE_INI25621) |
PSS006108| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (L) | — | — | R²: 0.15403 [0.14579, 0.16228] Incremental R2 (full-covars): 0.01462 PGS R2 (no covariates): 0.01221 [0.0095, 0.01492] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006273 | PGS001727 (GBE_INI25621) |
PSS006109| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (L) | — | — | R²: 0.12212 [0.10853, 0.1357] Incremental R2 (full-covars): -0.00633 PGS R2 (no covariates): 0.00103 [-0.00039, 0.00245] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006274 | PGS001727 (GBE_INI25621) |
PSS006110| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (L) | — | — | R²: 0.1036 [0.09924, 0.10795] Incremental R2 (full-covars): 0.00664 PGS R2 (no covariates): 0.00697 [0.00572, 0.00822] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006275 | PGS001728 (GBE_INI25622) |
PSS006111| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (R) | — | — | R²: 0.12775 [0.1126, 0.1429] Incremental R2 (full-covars): -0.00199 PGS R2 (no covariates): 0.0 [-0.00004, 0.00004] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006276 | PGS001728 (GBE_INI25622) |
PSS006112| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (R) | — | — | R²: 0.25816 [0.22244, 0.29388] Incremental R2 (full-covars): 0.00864 PGS R2 (no covariates): 0.00387 [-0.002, 0.00975] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006277 | PGS001728 (GBE_INI25622) |
PSS006113| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (R) | — | — | R²: 0.15542 [0.14715, 0.16368] Incremental R2 (full-covars): 0.01562 PGS R2 (no covariates): 0.01627 [0.01315, 0.01938] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006278 | PGS001728 (GBE_INI25622) |
PSS006114| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (R) | — | — | R²: 0.21464 [0.19853, 0.23075] Incremental R2 (full-covars): -0.00516 PGS R2 (no covariates): 0.00263 [0.00037, 0.0049] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006279 | PGS001728 (GBE_INI25622) |
PSS006115| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L2 in tract uncinate fasciculus (R) | — | — | R²: 0.12037 [0.11576, 0.12497] Incremental R2 (full-covars): 0.01279 PGS R2 (no covariates): 0.01222 [0.01057, 0.01387] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006280 | PGS001729 (GBE_INI25624) |
PSS006116| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract acoustic radiation (R) | — | — | R²: 0.08493 [0.07197, 0.0979] Incremental R2 (full-covars): -0.00119 PGS R2 (no covariates): 0.00129 [-0.00045, 0.00303] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006281 | PGS001729 (GBE_INI25624) |
PSS006117| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract acoustic radiation (R) | — | — | R²: 0.05678 [0.03548, 0.07808] Incremental R2 (full-covars): 0.01 PGS R2 (no covariates): 0.01699 [0.00485, 0.02914] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006282 | PGS001729 (GBE_INI25624) |
PSS006118| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract acoustic radiation (R) | — | — | R²: 0.05405 [0.04859, 0.05951] Incremental R2 (full-covars): 0.00134 PGS R2 (no covariates): 0.00418 [0.00258, 0.00578] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006283 | PGS001729 (GBE_INI25624) |
PSS006119| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract acoustic radiation (R) | — | — | R²: 0.02359 [0.01695, 0.03023] Incremental R2 (full-covars): -0.00353 PGS R2 (no covariates): 0.00012 [-0.00036, 0.0006] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006284 | PGS001729 (GBE_INI25624) |
PSS006120| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract acoustic radiation (R) | — | — | R²: 0.04358 [0.04057, 0.0466] Incremental R2 (full-covars): 0.00294 PGS R2 (no covariates): 0.00483 [0.00378, 0.00587] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006285 | PGS001730 (GBE_INI25625) |
PSS006121| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (L) | — | — | R²: 0.2431 [0.22496, 0.26124] Incremental R2 (full-covars): 0.00365 PGS R2 (no covariates): 0.00462 [0.00133, 0.00791] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006286 | PGS001730 (GBE_INI25625) |
PSS006122| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (L) | — | — | R²: 0.27842 [0.24234, 0.3145] Incremental R2 (full-covars): 0.01005 PGS R2 (no covariates): 0.01671 [0.00466, 0.02875] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006287 | PGS001730 (GBE_INI25625) |
PSS006123| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (L) | — | — | R²: 0.2488 [0.23949, 0.25811] Incremental R2 (full-covars): 0.00462 PGS R2 (no covariates): 0.00577 [0.0039, 0.00765] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006288 | PGS001730 (GBE_INI25625) |
PSS006124| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (L) | — | — | R²: 0.13516 [0.12108, 0.14924] Incremental R2 (full-covars): -0.00016 PGS R2 (no covariates): 0.00053 [-0.00049, 0.00154] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006289 | PGS001730 (GBE_INI25625) |
PSS006125| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (L) | — | — | R²: 0.2017 [0.19629, 0.20712] Incremental R2 (full-covars): 0.00642 PGS R2 (no covariates): 0.006 [0.00484, 0.00716] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006290 | PGS001731 (GBE_INI25626) |
PSS006126| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (R) | — | — | R²: 0.21633 [0.19862, 0.23405] Incremental R2 (full-covars): 0.0042 PGS R2 (no covariates): 0.00127 [-0.00046, 0.00301] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006291 | PGS001731 (GBE_INI25626) |
PSS006127| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (R) | — | — | R²: 0.2539 [0.21827, 0.28953] Incremental R2 (full-covars): 0.01125 PGS R2 (no covariates): 0.0262 [0.01126, 0.04114] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006292 | PGS001731 (GBE_INI25626) |
PSS006128| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (R) | — | — | R²: 0.24834 [0.23903, 0.25764] Incremental R2 (full-covars): 0.00576 PGS R2 (no covariates): 0.00733 [0.00522, 0.00944] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006293 | PGS001731 (GBE_INI25626) |
PSS006129| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (R) | — | — | R²: 0.10992 [0.09685, 0.12298] Incremental R2 (full-covars): 0.00484 PGS R2 (no covariates): 0.00716 [0.00344, 0.01087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006294 | PGS001731 (GBE_INI25626) |
PSS006130| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract anterior thalamic radiation (R) | — | — | R²: 0.20333 [0.1979, 0.20875] Incremental R2 (full-covars): 0.00925 PGS R2 (no covariates): 0.0089 [0.00749, 0.01031] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006295 | PGS001732 (GBE_INI25627) |
PSS006131| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.10883 [0.09454, 0.12312] Incremental R2 (full-covars): 0.01695 PGS R2 (no covariates): 0.00922 [0.0046, 0.01385] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006296 | PGS001732 (GBE_INI25627) |
PSS006132| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.13629 [0.10607, 0.16651] Incremental R2 (full-covars): 0.05116 PGS R2 (no covariates): 0.07212 [0.04851, 0.09573] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006297 | PGS001732 (GBE_INI25627) |
PSS006133| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.06811 [0.06207, 0.07415] Incremental R2 (full-covars): 0.00847 PGS R2 (no covariates): 0.01024 [0.00776, 0.01273] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006298 | PGS001732 (GBE_INI25627) |
PSS006134| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.0461 [0.03703, 0.05517] Incremental R2 (full-covars): -9e-05 PGS R2 (no covariates): 0.00669 [0.00309, 0.01028] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006299 | PGS001732 (GBE_INI25627) |
PSS006135| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.06095 [0.05745, 0.06445] Incremental R2 (full-covars): 0.00975 PGS R2 (no covariates): 0.01116 [0.00958, 0.01274] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006300 | PGS001733 (GBE_INI25628) |
PSS006136| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.11096 [0.09656, 0.12535] Incremental R2 (full-covars): 0.0114 PGS R2 (no covariates): 0.01821 [0.01177, 0.02465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006301 | PGS001733 (GBE_INI25628) |
PSS006137| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.14255 [0.11187, 0.17323] Incremental R2 (full-covars): 0.02092 PGS R2 (no covariates): 0.02707 [0.0119, 0.04224] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006302 | PGS001733 (GBE_INI25628) |
PSS006138| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.08213 [0.07559, 0.08866] Incremental R2 (full-covars): 0.02063 PGS R2 (no covariates): 0.02254 [0.0189, 0.02619] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006303 | PGS001733 (GBE_INI25628) |
PSS006139| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.02927 [0.02192, 0.03663] Incremental R2 (full-covars): -0.00203 PGS R2 (no covariates): 0.00226 [0.00016, 0.00436] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006304 | PGS001733 (GBE_INI25628) |
PSS006140| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.0617 [0.05819, 0.06522] Incremental R2 (full-covars): 0.01082 PGS R2 (no covariates): 0.01096 [0.0094, 0.01253] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006305 | PGS001734 (GBE_INI25634) |
PSS006141| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract forceps minor | — | — | R²: 0.1092 [0.09489, 0.1235] Incremental R2 (full-covars): 0.00352 PGS R2 (no covariates): 0.00543 [0.00187, 0.00899] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006306 | PGS001734 (GBE_INI25634) |
PSS006142| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract forceps minor | — | — | R²: 0.23666 [0.20146, 0.27185] Incremental R2 (full-covars): 0.05443 PGS R2 (no covariates): 0.08417 [0.05899, 0.10935] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006307 | PGS001734 (GBE_INI25634) |
PSS006143| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract forceps minor | — | — | R²: 0.15346 [0.14523, 0.1617] Incremental R2 (full-covars): 0.0301 PGS R2 (no covariates): 0.03072 [0.0265, 0.03494] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006308 | PGS001734 (GBE_INI25634) |
PSS006144| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract forceps minor | — | — | R²: 0.07353 [0.0624, 0.08465] Incremental R2 (full-covars): 0.00357 PGS R2 (no covariates): 0.00643 [0.00291, 0.00996] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006309 | PGS001734 (GBE_INI25634) |
PSS006145| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract forceps minor | — | — | R²: 0.12584 [0.12116, 0.13052] Incremental R2 (full-covars): 0.0352 PGS R2 (no covariates): 0.03426 [0.03156, 0.03696] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006310 | PGS001735 (GBE_INI25635) |
PSS006146| African Ancestry| 173 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.12443 [0.10914, 0.13973] Incremental R2 (full-covars): -0.00099 PGS R2 (no covariates): 0.00093 [-0.00058, 0.00243] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006311 | PGS001735 (GBE_INI25635) |
PSS006147| East Asian Ancestry| 101 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.15464 [0.12257, 0.18671] Incremental R2 (full-covars): 0.04017 PGS R2 (no covariates): 0.06434 [0.04144, 0.08723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006312 | PGS001735 (GBE_INI25635) |
PSS006148| European Ancestry| 1,581 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.17709 [0.16832, 0.18586] Incremental R2 (full-covars): 0.03151 PGS R2 (no covariates): 0.03062 [0.02632, 0.03491] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006313 | PGS001735 (GBE_INI25635) |
PSS006149| South Asian Ancestry| 287 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.093 [0.08052, 0.10547] Incremental R2 (full-covars): 0.00345 PGS R2 (no covariates): 0.0064 [0.00282, 0.00999] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006314 | PGS001735 (GBE_INI25635) |
PSS006150| European Ancestry| 4,918 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.14358 [0.13859, 0.14858] Incremental R2 (full-covars): 0.02168 PGS R2 (no covariates): 0.02105 [0.01886, 0.02323] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006315 | PGS001736 (GBE_INI25636) |
PSS006151| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.17444 [0.15768, 0.1912] Incremental R2 (full-covars): 0.00711 PGS R2 (no covariates): 0.00634 [0.00249, 0.01018] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006316 | PGS001736 (GBE_INI25636) |
PSS006152| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.16275 [0.13074, 0.19476] Incremental R2 (full-covars): 0.03043 PGS R2 (no covariates): 0.04486 [0.02569, 0.06403] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006317 | PGS001736 (GBE_INI25636) |
PSS006153| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.16688 [0.15842, 0.17533] Incremental R2 (full-covars): 0.01912 PGS R2 (no covariates): 0.01901 [0.01565, 0.02237] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006318 | PGS001736 (GBE_INI25636) |
PSS006154| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.06517 [0.0546, 0.07574] Incremental R2 (full-covars): -0.00138 PGS R2 (no covariates): 0.00374 [0.00104, 0.00644] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006319 | PGS001736 (GBE_INI25636) |
PSS006155| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.1517 [0.14671, 0.15669] Incremental R2 (full-covars): 0.0263 PGS R2 (no covariates): 0.0249 [0.02258, 0.02722] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006320 | PGS001737 (GBE_INI25637) |
PSS006156| African Ancestry| 166 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.16423 [0.14722, 0.18124] Incremental R2 (full-covars): 0.00926 PGS R2 (no covariates): 0.00642 [0.00242, 0.01042] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006321 | PGS001737 (GBE_INI25637) |
PSS006157| East Asian Ancestry| 98 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.15937 [0.12658, 0.19215] Incremental R2 (full-covars): 0.0253 PGS R2 (no covariates): 0.03762 [0.01938, 0.05585] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006322 | PGS001737 (GBE_INI25637) |
PSS006158| European Ancestry| 1,547 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.18611 [0.1771, 0.19512] Incremental R2 (full-covars): 0.0276 PGS R2 (no covariates): 0.02428 [0.02038, 0.02818] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006323 | PGS001737 (GBE_INI25637) |
PSS006159| South Asian Ancestry| 283 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.08628 [0.074, 0.09856] Incremental R2 (full-covars): -0.0015 PGS R2 (no covariates): 0.00458 [0.0015, 0.00766] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006324 | PGS001737 (GBE_INI25637) |
PSS006160| European Ancestry| 4,801 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.13759 [0.13261, 0.14258] Incremental R2 (full-covars): 0.023 PGS R2 (no covariates): 0.02254 [0.02025, 0.02482] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006325 | PGS001738 (GBE_INI25638) |
PSS006161| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.20832 [0.19075, 0.22588] Incremental R2 (full-covars): 0.00683 PGS R2 (no covariates): 0.0051 [0.00165, 0.00856] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006326 | PGS001738 (GBE_INI25638) |
PSS006162| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.18185 [0.14878, 0.21491] Incremental R2 (full-covars): 0.01543 PGS R2 (no covariates): 0.01939 [0.00645, 0.03233] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006327 | PGS001738 (GBE_INI25638) |
PSS006163| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.17264 [0.1641, 0.18117] Incremental R2 (full-covars): 0.01996 PGS R2 (no covariates): 0.01823 [0.01494, 0.02152] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006328 | PGS001738 (GBE_INI25638) |
PSS006164| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.1189 [0.10545, 0.13236] Incremental R2 (full-covars): -0.0003 PGS R2 (no covariates): 0.01079 [0.00624, 0.01534] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006329 | PGS001738 (GBE_INI25638) |
PSS006165| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.141 [0.13613, 0.14587] Incremental R2 (full-covars): 0.02091 PGS R2 (no covariates): 0.0191 [0.01705, 0.02115] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006330 | PGS001739 (GBE_INI25644) |
PSS006166| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.11581 [0.10119, 0.13044] Incremental R2 (full-covars): -0.02259 PGS R2 (no covariates): 0.00037 [-0.00056, 0.0013] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006331 | PGS001739 (GBE_INI25644) |
PSS006167| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.16154 [0.12961, 0.19348] Incremental R2 (full-covars): 0.06216 PGS R2 (no covariates): 0.0842 [0.05902, 0.10939] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006332 | PGS001739 (GBE_INI25644) |
PSS006168| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.15665 [0.14836, 0.16494] Incremental R2 (full-covars): 0.01947 PGS R2 (no covariates): 0.02112 [0.01759, 0.02465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006333 | PGS001739 (GBE_INI25644) |
PSS006169| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.08105 [0.06947, 0.09263] Incremental R2 (full-covars): 0.00087 PGS R2 (no covariates): 0.00797 [0.00405, 0.01189] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006334 | PGS001739 (GBE_INI25644) |
PSS006170| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior longitudinal fasciculus (L) | — | — | R²: 0.13242 [0.12766, 0.13719] Incremental R2 (full-covars): 0.02715 PGS R2 (no covariates): 0.02819 [0.02573, 0.03066] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006335 | PGS001740 (GBE_INI25646) |
PSS006171| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (L) | — | — | R²: 0.17589 [0.15909, 0.19269] Incremental R2 (full-covars): -0.01636 PGS R2 (no covariates): 0.001 [-0.00054, 0.00254] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006336 | PGS001740 (GBE_INI25646) |
PSS006172| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (L) | — | — | R²: 0.15935 [0.12754, 0.19115] Incremental R2 (full-covars): 0.01182 PGS R2 (no covariates): 0.02343 [0.00926, 0.03759] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006337 | PGS001740 (GBE_INI25646) |
PSS006173| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (L) | — | — | R²: 0.14901 [0.14086, 0.15717] Incremental R2 (full-covars): 0.00488 PGS R2 (no covariates): 0.00723 [0.00513, 0.00932] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006338 | PGS001740 (GBE_INI25646) |
PSS006174| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (L) | — | — | R²: 0.07527 [0.06403, 0.0865] Incremental R2 (full-covars): 0.01049 PGS R2 (no covariates): 0.01193 [0.00715, 0.0167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006339 | PGS001740 (GBE_INI25646) |
PSS006175| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (L) | — | — | R²: 0.12986 [0.12512, 0.13459] Incremental R2 (full-covars): 0.01453 PGS R2 (no covariates): 0.01538 [0.01354, 0.01722] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006340 | PGS001741 (GBE_INI25647) |
PSS006176| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (R) | — | — | R²: 0.18096 [0.16402, 0.19789] Incremental R2 (full-covars): -0.01727 PGS R2 (no covariates): 0.0 [-0.00007, 0.00008] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006341 | PGS001741 (GBE_INI25647) |
PSS006177| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (R) | — | — | R²: 0.21927 [0.18463, 0.25392] Incremental R2 (full-covars): 0.07383 PGS R2 (no covariates): 0.13849 [0.10811, 0.16887] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006342 | PGS001741 (GBE_INI25647) |
PSS006178| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (R) | — | — | R²: 0.1283 [0.12055, 0.13606] Incremental R2 (full-covars): -0.00737 PGS R2 (no covariates): 0.00127 [0.00039, 0.00215] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006343 | PGS001741 (GBE_INI25647) |
PSS006179| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (R) | — | — | R²: 0.0749 [0.06369, 0.08611] Incremental R2 (full-covars): 0.01126 PGS R2 (no covariates): 0.0142 [0.009, 0.0194] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006344 | PGS001741 (GBE_INI25647) |
PSS006180| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract superior thalamic radiation (R) | — | — | R²: 0.11363 [0.10912, 0.11814] Incremental R2 (full-covars): 0.00452 PGS R2 (no covariates): 0.00831 [0.00695, 0.00968] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006345 | PGS001742 (GBE_INI25648) |
PSS006181| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (L) | — | — | R²: 0.08943 [0.07619, 0.10266] Incremental R2 (full-covars): 0.00409 PGS R2 (no covariates): 0.00227 [-0.00004, 0.00457] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006346 | PGS001742 (GBE_INI25648) |
PSS006182| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (L) | — | — | R²: 0.21996 [0.18529, 0.25463] Incremental R2 (full-covars): 0.00434 PGS R2 (no covariates): 0.00558 [-0.00146, 0.01261] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006347 | PGS001742 (GBE_INI25648) |
PSS006183| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (L) | — | — | R²: 0.15512 [0.14685, 0.16338] Incremental R2 (full-covars): 0.01235 PGS R2 (no covariates): 0.00918 [0.00682, 0.01153] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006348 | PGS001742 (GBE_INI25648) |
PSS006184| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (L) | — | — | R²: 0.12339 [0.10976, 0.13703] Incremental R2 (full-covars): -0.00484 PGS R2 (no covariates): 0.00151 [-0.00021, 0.00323] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006349 | PGS001742 (GBE_INI25648) |
PSS006185| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (L) | — | — | R²: 0.10273 [0.09839, 0.10707] Incremental R2 (full-covars): 0.00904 PGS R2 (no covariates): 0.00937 [0.00792, 0.01082] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006350 | PGS001743 (GBE_INI25649) |
PSS006186| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (R) | — | — | R²: 0.15536 [0.13918, 0.17155] Incremental R2 (full-covars): -0.00011 PGS R2 (no covariates): 0.00208 [-0.00013, 0.00429] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006351 | PGS001743 (GBE_INI25649) |
PSS006187| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (R) | — | — | R²: 0.2428 [0.20744, 0.27816] Incremental R2 (full-covars): 0.02294 PGS R2 (no covariates): 0.01627 [0.00438, 0.02816] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006352 | PGS001743 (GBE_INI25649) |
PSS006188| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (R) | — | — | R²: 0.15556 [0.14729, 0.16383] Incremental R2 (full-covars): 0.01786 PGS R2 (no covariates): 0.01578 [0.01271, 0.01885] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006353 | PGS001743 (GBE_INI25649) |
PSS006189| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (R) | — | — | R²: 0.21763 [0.20147, 0.23379] Incremental R2 (full-covars): 0.02052 PGS R2 (no covariates): 0.02569 [0.01877, 0.0326] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006354 | PGS001743 (GBE_INI25649) |
PSS006190| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA L3 in tract uncinate fasciculus (R) | — | — | R²: 0.12 [0.1154, 0.1246] Incremental R2 (full-covars): 0.01871 PGS R2 (no covariates): 0.01812 [0.01613, 0.02012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006045 | PGS001744 (GBE_INI25516) |
PSS005881| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract acoustic radiation (R) | — | — | R²: 0.08759 [0.07447, 0.10072] Incremental R2 (full-covars): -0.00128 PGS R2 (no covariates): 1e-05 [-0.00014, 0.00016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006046 | PGS001744 (GBE_INI25516) |
PSS005882| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract acoustic radiation (R) | — | — | R²: 0.06134 [0.03931, 0.08337] Incremental R2 (full-covars): 0.00918 PGS R2 (no covariates): 0.00867 [-0.00008, 0.01741] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006047 | PGS001744 (GBE_INI25516) |
PSS005883| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract acoustic radiation (R) | — | — | R²: 0.04868 [0.04347, 0.0539] Incremental R2 (full-covars): 0.00541 PGS R2 (no covariates): 0.00658 [0.00458, 0.00858] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006048 | PGS001744 (GBE_INI25516) |
PSS005884| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract acoustic radiation (R) | — | — | R²: 0.02186 [0.01545, 0.02826] Incremental R2 (full-covars): 0.00319 PGS R2 (no covariates): 0.00297 [0.00056, 0.00537] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006049 | PGS001744 (GBE_INI25516) |
PSS005885| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract acoustic radiation (R) | — | — | R²: 0.03946 [0.03658, 0.04234] Incremental R2 (full-covars): 0.00371 PGS R2 (no covariates): 0.00418 [0.00321, 0.00515] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006050 | PGS001745 (GBE_INI25517) |
PSS005886| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract anterior thalamic radiation (L) | — | — | R²: 0.25618 [0.23788, 0.27447] Incremental R2 (full-covars): 0.00314 PGS R2 (no covariates): 0.00668 [0.00274, 0.01063] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006051 | PGS001745 (GBE_INI25517) |
PSS005887| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract anterior thalamic radiation (L) | — | — | R²: 0.27358 [0.23758, 0.30959] Incremental R2 (full-covars): 0.01285 PGS R2 (no covariates): 0.01687 [0.00477, 0.02897] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006052 | PGS001745 (GBE_INI25517) |
PSS005888| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract anterior thalamic radiation (L) | — | — | R²: 0.27554 [0.2661, 0.28499] Incremental R2 (full-covars): 0.0042 PGS R2 (no covariates): 0.00427 [0.00265, 0.00588] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006053 | PGS001745 (GBE_INI25517) |
PSS005889| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract anterior thalamic radiation (L) | — | — | R²: 0.10057 [0.08794, 0.1132] Incremental R2 (full-covars): -0.00048 PGS R2 (no covariates): 0.00024 [-0.00045, 0.00093] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006054 | PGS001745 (GBE_INI25517) |
PSS005890| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract anterior thalamic radiation (L) | — | — | R²: 0.20637 [0.20093, 0.21181] Incremental R2 (full-covars): 0.00461 PGS R2 (no covariates): 0.00423 [0.00325, 0.00521] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006055 | PGS001746 (GBE_INI25519) |
PSS005891| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.06292 [0.05149, 0.07434] Incremental R2 (full-covars): 0.00539 PGS R2 (no covariates): 0.00766 [0.00344, 0.01188] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006056 | PGS001746 (GBE_INI25519) |
PSS005892| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.10762 [0.07988, 0.13537] Incremental R2 (full-covars): 0.03175 PGS R2 (no covariates): 0.05229 [0.03175, 0.07282] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006057 | PGS001746 (GBE_INI25519) |
PSS005893| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.07917 [0.07274, 0.08561] Incremental R2 (full-covars): 0.02181 PGS R2 (no covariates): 0.02856 [0.02448, 0.03264] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006058 | PGS001746 (GBE_INI25519) |
PSS005894| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.02315 [0.01657, 0.02973] Incremental R2 (full-covars): 0.00046 PGS R2 (no covariates): 0.00289 [0.00052, 0.00527] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006059 | PGS001746 (GBE_INI25519) |
PSS005895| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (L) | — | — | R²: 0.04818 [0.04503, 0.05134] Incremental R2 (full-covars): 0.01088 PGS R2 (no covariates): 0.00963 [0.00816, 0.0111] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006060 | PGS001747 (GBE_INI25520) |
PSS005896| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.10047 [0.08661, 0.11433] Incremental R2 (full-covars): 0.01462 PGS R2 (no covariates): 0.02553 [0.01796, 0.0331] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006061 | PGS001747 (GBE_INI25520) |
PSS005897| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.10202 [0.07484, 0.1292] Incremental R2 (full-covars): 0.0141 PGS R2 (no covariates): 0.02126 [0.00774, 0.03478] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006062 | PGS001747 (GBE_INI25520) |
PSS005898| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.08019 [0.07372, 0.08665] Incremental R2 (full-covars): 0.01949 PGS R2 (no covariates): 0.01886 [0.01551, 0.0222] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006063 | PGS001747 (GBE_INI25520) |
PSS005899| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.017 [0.01132, 0.02267] Incremental R2 (full-covars): -0.00139 PGS R2 (no covariates): 0.00106 [-0.00038, 0.00249] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006064 | PGS001747 (GBE_INI25520) |
PSS005900| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract cingulate gyrus part of cingulum (R) | — | — | R²: 0.053 [0.04971, 0.05629] Incremental R2 (full-covars): 0.01144 PGS R2 (no covariates): 0.01114 [0.00956, 0.01271] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006065 | PGS001748 (GBE_INI25525) |
PSS005901| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps major | — | — | R²: 0.07095 [0.05892, 0.08298] Incremental R2 (full-covars): -0.00321 PGS R2 (no covariates): 0.00056 [-0.00059, 0.00172] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006066 | PGS001748 (GBE_INI25525) |
PSS005902| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps major | — | — | R²: 0.15858 [0.12683, 0.19033] Incremental R2 (full-covars): 0.00881 PGS R2 (no covariates): 0.01025 [0.00075, 0.01975] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006067 | PGS001748 (GBE_INI25525) |
PSS005903| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps major | — | — | R²: 0.01305 [0.01025, 0.01585] Incremental R2 (full-covars): 0.00611 PGS R2 (no covariates): 0.00605 [0.00413, 0.00797] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006068 | PGS001748 (GBE_INI25525) |
PSS005904| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps major | — | — | R²: 0.041 [0.0324, 0.04959] Incremental R2 (full-covars): -0.00047 PGS R2 (no covariates): 0.00031 [-0.00047, 0.00108] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006069 | PGS001748 (GBE_INI25525) |
PSS005905| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps major | — | — | R²: 0.01061 [0.00907, 0.01214] Incremental R2 (full-covars): 0.0041 PGS R2 (no covariates): 0.00374 [0.00282, 0.00466] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006070 | PGS001749 (GBE_INI25526) |
PSS005906| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps minor | — | — | R²: 0.09378 [0.08029, 0.10727] Incremental R2 (full-covars): 0.01273 PGS R2 (no covariates): 0.01186 [0.00663, 0.01709] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006071 | PGS001749 (GBE_INI25526) |
PSS005907| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps minor | — | — | R²: 0.2129 [0.17849, 0.24732] Incremental R2 (full-covars): 0.03776 PGS R2 (no covariates): 0.04484 [0.02567, 0.064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006072 | PGS001749 (GBE_INI25526) |
PSS005908| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps minor | — | — | R²: 0.1451 [0.13701, 0.15319] Incremental R2 (full-covars): 0.02604 PGS R2 (no covariates): 0.02557 [0.0217, 0.02944] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006073 | PGS001749 (GBE_INI25526) |
PSS005909| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps minor | — | — | R²: 0.03674 [0.02857, 0.04492] Incremental R2 (full-covars): -0.00094 PGS R2 (no covariates): 0.00183 [-0.00006, 0.00372] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006074 | PGS001749 (GBE_INI25526) |
PSS005910| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract forceps minor | — | — | R²: 0.11886 [0.11428, 0.12345] Incremental R2 (full-covars): 0.03139 PGS R2 (no covariates): 0.03034 [0.02779, 0.03289] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006075 | PGS001750 (GBE_INI25527) |
PSS005911| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.16584 [0.14933, 0.18235] Incremental R2 (full-covars): 0.01742 PGS R2 (no covariates): 0.0127 [0.00729, 0.01811] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006076 | PGS001750 (GBE_INI25527) |
PSS005912| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.17056 [0.1381, 0.20302] Incremental R2 (full-covars): 0.0523 PGS R2 (no covariates): 0.07544 [0.05137, 0.0995] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006077 | PGS001750 (GBE_INI25527) |
PSS005913| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.17797 [0.16936, 0.18658] Incremental R2 (full-covars): 0.02688 PGS R2 (no covariates): 0.0272 [0.02321, 0.03118] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006078 | PGS001750 (GBE_INI25527) |
PSS005914| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.05207 [0.04249, 0.06164] Incremental R2 (full-covars): 0.00397 PGS R2 (no covariates): 0.00588 [0.0025, 0.00926] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006079 | PGS001750 (GBE_INI25527) |
PSS005915| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (L) | — | — | R²: 0.14206 [0.13718, 0.14694] Incremental R2 (full-covars): 0.01729 PGS R2 (no covariates): 0.01673 [0.01481, 0.01865] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006080 | PGS001751 (GBE_INI25528) |
PSS005916| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.20755 [0.19001, 0.2251] Incremental R2 (full-covars): 0.02567 PGS R2 (no covariates): 0.02832 [0.02037, 0.03627] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006081 | PGS001751 (GBE_INI25528) |
PSS005917| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.24701 [0.21154, 0.28247] Incremental R2 (full-covars): 0.05122 PGS R2 (no covariates): 0.06775 [0.04476, 0.09075] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006082 | PGS001751 (GBE_INI25528) |
PSS005918| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.17033 [0.16183, 0.17883] Incremental R2 (full-covars): 0.01889 PGS R2 (no covariates): 0.01864 [0.01532, 0.02197] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006083 | PGS001751 (GBE_INI25528) |
PSS005919| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.03693 [0.02874, 0.04513] Incremental R2 (full-covars): -0.00473 PGS R2 (no covariates): 0.00075 [-0.00046, 0.00196] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006084 | PGS001751 (GBE_INI25528) |
PSS005920| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior fronto-occipital fasciculus (R) | — | — | R²: 0.15051 [0.14554, 0.15548] Incremental R2 (full-covars): 0.01863 PGS R2 (no covariates): 0.01754 [0.01558, 0.01951] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006085 | PGS001752 (GBE_INI25529) |
PSS005921| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.1644 [0.14793, 0.18086] Incremental R2 (full-covars): 0.00799 PGS R2 (no covariates): 0.00547 [0.0019, 0.00905] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006086 | PGS001752 (GBE_INI25529) |
PSS005922| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.1703 [0.13785, 0.20275] Incremental R2 (full-covars): 0.03319 PGS R2 (no covariates): 0.05173 [0.03129, 0.07217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006087 | PGS001752 (GBE_INI25529) |
PSS005923| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.15899 [0.15066, 0.16731] Incremental R2 (full-covars): 0.02241 PGS R2 (no covariates): 0.02076 [0.01726, 0.02427] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006088 | PGS001752 (GBE_INI25529) |
PSS005924| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.04724 [0.03807, 0.05641] Incremental R2 (full-covars): 0.00023 PGS R2 (no covariates): 0.00289 [0.00052, 0.00527] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006089 | PGS001752 (GBE_INI25529) |
PSS005925| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (L) | — | — | R²: 0.12335 [0.1187, 0.128] Incremental R2 (full-covars): 0.01599 PGS R2 (no covariates): 0.01581 [0.01394, 0.01767] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006090 | PGS001753 (GBE_INI25530) |
PSS005926| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.20355 [0.18608, 0.22101] Incremental R2 (full-covars): 0.00555 PGS R2 (no covariates): 0.0066 [0.00268, 0.01053] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006091 | PGS001753 (GBE_INI25530) |
PSS005927| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.25187 [0.21629, 0.28745] Incremental R2 (full-covars): 0.03824 PGS R2 (no covariates): 0.0477 [0.02799, 0.06741] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006092 | PGS001753 (GBE_INI25530) |
PSS005928| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.1607 [0.15234, 0.16906] Incremental R2 (full-covars): 0.02221 PGS R2 (no covariates): 0.02041 [0.01694, 0.02389] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006093 | PGS001753 (GBE_INI25530) |
PSS005929| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.11733 [0.10394, 0.13071] Incremental R2 (full-covars): -0.00519 PGS R2 (no covariates): 0.00696 [0.00329, 0.01062] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006094 | PGS001753 (GBE_INI25530) |
PSS005930| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.12915 [0.12442, 0.13387] Incremental R2 (full-covars): 0.01608 PGS R2 (no covariates): 0.01509 [0.01326, 0.01691] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006095 | PGS001754 (GBE_INI25536) |
PSS005931| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.14086 [0.12519, 0.15653] Incremental R2 (full-covars): -0.00676 PGS R2 (no covariates): 0.0027 [0.00018, 0.00522] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006096 | PGS001754 (GBE_INI25536) |
PSS005932| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.16534 [0.13317, 0.1975] Incremental R2 (full-covars): 0.05356 PGS R2 (no covariates): 0.07031 [0.04695, 0.09367] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006097 | PGS001754 (GBE_INI25536) |
PSS005933| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.16293 [0.15454, 0.17132] Incremental R2 (full-covars): 0.01483 PGS R2 (no covariates): 0.01627 [0.01315, 0.01938] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006098 | PGS001754 (GBE_INI25536) |
PSS005934| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.04791 [0.03868, 0.05714] Incremental R2 (full-covars): 0.00921 PGS R2 (no covariates): 0.01366 [0.00856, 0.01877] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006099 | PGS001754 (GBE_INI25536) |
PSS005935| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.14644 [0.1415, 0.15137] Incremental R2 (full-covars): 0.02687 PGS R2 (no covariates): 0.02729 [0.02487, 0.02972] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006100 | PGS001755 (GBE_INI25538) |
PSS005936| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (L) | — | — | R²: 0.21367 [0.19601, 0.23134] Incremental R2 (full-covars): -0.00488 PGS R2 (no covariates): 0.00142 [-0.00041, 0.00325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006101 | PGS001755 (GBE_INI25538) |
PSS005937| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (L) | — | — | R²: 0.18249 [0.14939, 0.21558] Incremental R2 (full-covars): 0.02542 PGS R2 (no covariates): 0.06342 [0.04107, 0.08577] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006102 | PGS001755 (GBE_INI25538) |
PSS005938| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (L) | — | — | R²: 0.19286 [0.18406, 0.20167] Incremental R2 (full-covars): 0.00374 PGS R2 (no covariates): 0.00593 [0.00403, 0.00783] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006103 | PGS001755 (GBE_INI25538) |
PSS005939| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (L) | — | — | R²: 0.05443 [0.04467, 0.0642] Incremental R2 (full-covars): 0.00323 PGS R2 (no covariates): 0.00087 [-0.00044, 0.00217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006104 | PGS001755 (GBE_INI25538) |
PSS005940| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (L) | — | — | R²: 0.16803 [0.16288, 0.17318] Incremental R2 (full-covars): 0.00978 PGS R2 (no covariates): 0.0098 [0.00832, 0.01128] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006105 | PGS001756 (GBE_INI25539) |
PSS005941| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (R) | — | — | R²: 0.24314 [0.225, 0.26128] Incremental R2 (full-covars): -0.00374 PGS R2 (no covariates): 0.00021 [-0.00049, 0.00091] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006106 | PGS001756 (GBE_INI25539) |
PSS005942| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (R) | — | — | R²: 0.17775 [0.1449, 0.2106] Incremental R2 (full-covars): 0.02889 PGS R2 (no covariates): 0.12628 [0.09685, 0.1557] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006107 | PGS001756 (GBE_INI25539) |
PSS005943| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (R) | — | — | R²: 0.19212 [0.18332, 0.20091] Incremental R2 (full-covars): 0.00251 PGS R2 (no covariates): 0.00304 [0.00167, 0.0044] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006108 | PGS001756 (GBE_INI25539) |
PSS005944| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (R) | — | — | R²: 0.04844 [0.03917, 0.05771] Incremental R2 (full-covars): 0.00196 PGS R2 (no covariates): 0.00322 [0.00072, 0.00573] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006109 | PGS001756 (GBE_INI25539) |
PSS005945| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract superior thalamic radiation (R) | — | — | R²: 0.15869 [0.15364, 0.16375] Incremental R2 (full-covars): 0.00446 PGS R2 (no covariates): 0.00537 [0.00427, 0.00647] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006110 | PGS001757 (GBE_INI25540) |
PSS005946| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (L) | — | — | R²: 0.09139 [0.07804, 0.10474] Incremental R2 (full-covars): -0.00262 PGS R2 (no covariates): 0.0011 [-0.00051, 0.00271] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006111 | PGS001757 (GBE_INI25540) |
PSS005947| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (L) | — | — | R²: 0.22525 [0.1904, 0.26009] Incremental R2 (full-covars): 0.01268 PGS R2 (no covariates): 0.00715 [-0.0008, 0.01511] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006112 | PGS001757 (GBE_INI25540) |
PSS005948| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (L) | — | — | R²: 0.16509 [0.15666, 0.17351] Incremental R2 (full-covars): 0.01281 PGS R2 (no covariates): 0.00995 [0.0075, 0.01241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006113 | PGS001757 (GBE_INI25540) |
PSS005949| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (L) | — | — | R²: 0.14942 [0.13486, 0.16398] Incremental R2 (full-covars): -0.0008 PGS R2 (no covariates): 0.00482 [0.00176, 0.00788] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006114 | PGS001757 (GBE_INI25540) |
PSS005950| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (L) | — | — | R²: 0.11107 [0.1066, 0.11554] Incremental R2 (full-covars): 0.01047 PGS R2 (no covariates): 0.01133 [0.00975, 0.01292] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006115 | PGS001758 (GBE_INI25541) |
PSS005951| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.12822 [0.11304, 0.14339] Incremental R2 (full-covars): -0.0021 PGS R2 (no covariates): 0.0005 [-0.00059, 0.0016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006116 | PGS001758 (GBE_INI25541) |
PSS005952| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.28653 [0.25034, 0.32272] Incremental R2 (full-covars): 0.03059 PGS R2 (no covariates): 0.02101 [0.00756, 0.03446] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006117 | PGS001758 (GBE_INI25541) |
PSS005953| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.17036 [0.16186, 0.17887] Incremental R2 (full-covars): 0.01904 PGS R2 (no covariates): 0.01833 [0.01503, 0.02163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006118 | PGS001758 (GBE_INI25541) |
PSS005954| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.23586 [0.21943, 0.25229] Incremental R2 (full-covars): 0.00087 PGS R2 (no covariates): 0.01178 [0.00703, 0.01653] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006119 | PGS001758 (GBE_INI25541) |
PSS005955| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.12749 [0.12279, 0.13219] Incremental R2 (full-covars): 0.01304 PGS R2 (no covariates): 0.01264 [0.01096, 0.01432] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006120 | PGS001759 (GBE_INI25553) |
PSS005956| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract forceps minor | — | — | R²: 0.10792 [0.09368, 0.12216] Incremental R2 (full-covars): 0.02931 PGS R2 (no covariates): 0.03954 [0.03026, 0.04882] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006121 | PGS001759 (GBE_INI25553) |
PSS005957| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract forceps minor | — | — | R²: 0.04378 [0.02482, 0.06275] Incremental R2 (full-covars): -0.05486 PGS R2 (no covariates): 0.02855 [0.01299, 0.0441] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006122 | PGS001759 (GBE_INI25553) |
PSS005958| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract forceps minor | — | — | R²: 0.06895 [0.06288, 0.07503] Incremental R2 (full-covars): 0.0123 PGS R2 (no covariates): 0.013 [0.0102, 0.01579] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006123 | PGS001759 (GBE_INI25553) |
PSS005959| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract forceps minor | — | — | R²: 0.06096 [0.05069, 0.07122] Incremental R2 (full-covars): -0.00041 PGS R2 (no covariates): 0.0038 [0.00108, 0.00652] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006124 | PGS001759 (GBE_INI25553) |
PSS005960| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract forceps minor | — | — | R²: 0.04176 [0.0388, 0.04471] Incremental R2 (full-covars): 0.01316 PGS R2 (no covariates): 0.01367 [0.01193, 0.01541] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006130 | PGS001760 (GBE_INI25560) |
PSS005966| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract medial lemniscus (R) | — | — | R²: 0.14902 [0.13305, 0.16499] Incremental R2 (full-covars): 0.00554 PGS R2 (no covariates): 0.00404 [0.00096, 0.00712] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006131 | PGS001760 (GBE_INI25560) |
PSS005967| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract medial lemniscus (R) | — | — | R²: 0.1167 [0.08811, 0.1453] Incremental R2 (full-covars): -0.01758 PGS R2 (no covariates): 0.03109 [0.0149, 0.04728] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006132 | PGS001760 (GBE_INI25560) |
PSS005968| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract medial lemniscus (R) | — | — | R²: 0.0238 [0.02006, 0.02754] Incremental R2 (full-covars): 0.00381 PGS R2 (no covariates): 0.00494 [0.0032, 0.00668] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006133 | PGS001760 (GBE_INI25560) |
PSS005969| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract medial lemniscus (R) | — | — | R²: 0.08227 [0.07062, 0.09393] Incremental R2 (full-covars): 0.00049 PGS R2 (no covariates): 0.0012 [-0.00033, 0.00274] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006134 | PGS001760 (GBE_INI25560) |
PSS005970| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract medial lemniscus (R) | — | — | R²: 0.02187 [0.01969, 0.02405] Incremental R2 (full-covars): 0.00403 PGS R2 (no covariates): 0.00456 [0.00354, 0.00557] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006125 | PGS001761 (GBE_INI25558) |
PSS005961| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract middle cerebellar peduncle | — | — | R²: 0.0857 [0.07269, 0.09871] Incremental R2 (full-covars): 0.00067 PGS R2 (no covariates): 0.00032 [-0.00055, 0.0012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006126 | PGS001761 (GBE_INI25558) |
PSS005962| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract middle cerebellar peduncle | — | — | R²: 0.21022 [0.1759, 0.24454] Incremental R2 (full-covars): -0.00139 PGS R2 (no covariates): 0.00453 [-0.00182, 0.01088] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006127 | PGS001761 (GBE_INI25558) |
PSS005963| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract middle cerebellar peduncle | — | — | R²: 0.02568 [0.0218, 0.02955] Incremental R2 (full-covars): 2e-05 PGS R2 (no covariates): 0.0001 [-0.00015, 0.00034] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006128 | PGS001761 (GBE_INI25558) |
PSS005964| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract middle cerebellar peduncle | — | — | R²: 0.09846 [0.08594, 0.11099] Incremental R2 (full-covars): 0.00036 PGS R2 (no covariates): 0.0 [0.0, 0.0] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006129 | PGS001761 (GBE_INI25558) |
PSS005965| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract middle cerebellar peduncle | — | — | R²: 0.03272 [0.03008, 0.03537] Incremental R2 (full-covars): 0.00316 PGS R2 (no covariates): 0.00427 [0.00328, 0.00525] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006135 | PGS001762 (GBE_INI25561) |
PSS005971| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (L) | — | — | R²: 0.09834 [0.08459, 0.11208] Incremental R2 (full-covars): -0.0114 PGS R2 (no covariates): 0.00197 [-0.00019, 0.00412] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006136 | PGS001762 (GBE_INI25561) |
PSS005972| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (L) | — | — | R²: 0.12531 [0.09597, 0.15466] Incremental R2 (full-covars): -0.00426 PGS R2 (no covariates): 0.00295 [-0.00218, 0.00807] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006137 | PGS001762 (GBE_INI25561) |
PSS005973| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (L) | — | — | R²: 0.06232 [0.0565, 0.06813] Incremental R2 (full-covars): 0.00497 PGS R2 (no covariates): 0.00524 [0.00345, 0.00703] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006138 | PGS001762 (GBE_INI25561) |
PSS005974| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (L) | — | — | R²: 0.12505 [0.11135, 0.13875] Incremental R2 (full-covars): 0.00157 PGS R2 (no covariates): 0.00101 [-0.0004, 0.00241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006139 | PGS001762 (GBE_INI25561) |
PSS005975| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (L) | — | — | R²: 0.04079 [0.03786, 0.04371] Incremental R2 (full-covars): 0.00443 PGS R2 (no covariates): 0.0048 [0.00376, 0.00584] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006140 | PGS001763 (GBE_INI25562) |
PSS005976| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (R) | — | — | R²: 0.11883 [0.10406, 0.13359] Incremental R2 (full-covars): -0.00306 PGS R2 (no covariates): 0.00138 [-0.00042, 0.00318] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006141 | PGS001763 (GBE_INI25562) |
PSS005977| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (R) | — | — | R²: 0.19302 [0.15942, 0.22662] Incremental R2 (full-covars): -0.00294 PGS R2 (no covariates): 0.00012 [-0.0009, 0.00113] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006142 | PGS001763 (GBE_INI25562) |
PSS005978| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (R) | — | — | R²: 0.04855 [0.04334, 0.05375] Incremental R2 (full-covars): 0.0026 PGS R2 (no covariates): 0.003 [0.00165, 0.00436] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006143 | PGS001763 (GBE_INI25562) |
PSS005979| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (R) | — | — | R²: 0.08318 [0.07148, 0.09489] Incremental R2 (full-covars): 0.00231 PGS R2 (no covariates): 0.00358 [0.00094, 0.00622] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006144 | PGS001763 (GBE_INI25562) |
PSS005980| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract posterior thalamic radiation (R) | — | — | R²: 0.04397 [0.04094, 0.04699] Incremental R2 (full-covars): 0.00701 PGS R2 (no covariates): 0.00699 [0.00574, 0.00824] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006145 | PGS001764 (GBE_INI25563) |
PSS005981| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior longitudinal fasciculus (L) | — | — | R²: 0.11138 [0.09696, 0.12579] Incremental R2 (full-covars): 0.00935 PGS R2 (no covariates): 0.01294 [0.00748, 0.0184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006146 | PGS001764 (GBE_INI25563) |
PSS005982| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior longitudinal fasciculus (L) | — | — | R²: 0.06915 [0.04595, 0.09234] Incremental R2 (full-covars): -0.03246 PGS R2 (no covariates): 0.01817 [0.00563, 0.03071] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006147 | PGS001764 (GBE_INI25563) |
PSS005983| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior longitudinal fasciculus (L) | — | — | R²: 0.05508 [0.04957, 0.06059] Incremental R2 (full-covars): 0.00728 PGS R2 (no covariates): 0.00806 [0.00585, 0.01028] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006148 | PGS001764 (GBE_INI25563) |
PSS005984| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior longitudinal fasciculus (L) | — | — | R²: 0.12207 [0.10849, 0.13565] Incremental R2 (full-covars): 0.00609 PGS R2 (no covariates): 0.00885 [0.00472, 0.01297] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006149 | PGS001764 (GBE_INI25563) |
PSS005985| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior longitudinal fasciculus (L) | — | — | R²: 0.04815 [0.045, 0.0513] Incremental R2 (full-covars): 0.01102 PGS R2 (no covariates): 0.01192 [0.01029, 0.01354] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006150 | PGS001765 (GBE_INI25566) |
PSS005986| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior thalamic radiation (R) | — | — | R²: 0.13365 [0.11826, 0.14905] Incremental R2 (full-covars): -0.02067 PGS R2 (no covariates): 0.00202 [-0.00016, 0.00421] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006151 | PGS001765 (GBE_INI25566) |
PSS005987| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior thalamic radiation (R) | — | — | R²: 0.20794 [0.17371, 0.24216] Incremental R2 (full-covars): 0.02292 PGS R2 (no covariates): 0.04166 [0.02313, 0.0602] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006152 | PGS001765 (GBE_INI25566) |
PSS005988| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior thalamic radiation (R) | — | — | R²: 0.14923 [0.14107, 0.15739] Incremental R2 (full-covars): 0.01479 PGS R2 (no covariates): 0.0165 [0.01336, 0.01964] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006153 | PGS001765 (GBE_INI25566) |
PSS005989| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior thalamic radiation (R) | — | — | R²: 0.13234 [0.11837, 0.14632] Incremental R2 (full-covars): -0.00568 PGS R2 (no covariates): 0.00404 [0.00123, 0.00684] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006154 | PGS001765 (GBE_INI25566) |
PSS005990| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MO in tract superior thalamic radiation (R) | — | — | R²: 0.14158 [0.1367, 0.14645] Incremental R2 (full-covars): 0.01568 PGS R2 (no covariates): 0.01617 [0.01429, 0.01806] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006490 | PGS001766 (GBE_INI25685) |
PSS006326| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract corticospinal tract (L) | — | — | R²: 0.06375 [0.05226, 0.07525] Incremental R2 (full-covars): -6e-05 PGS R2 (no covariates): 0.02326 [0.01602, 0.0305] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006491 | PGS001766 (GBE_INI25685) |
PSS006327| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract corticospinal tract (L) | — | — | R²: 0.07683 [0.05258, 0.10108] Incremental R2 (full-covars): -3e-05 PGS R2 (no covariates): 0.00316 [-0.00215, 0.00847] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006492 | PGS001766 (GBE_INI25685) |
PSS006328| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract corticospinal tract (L) | — | — | R²: 0.07347 [0.06723, 0.07971] Incremental R2 (full-covars): 3e-05 PGS R2 (no covariates): 0.00054 [-0.00003, 0.00112] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006493 | PGS001766 (GBE_INI25685) |
PSS006329| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract corticospinal tract (L) | — | — | R²: 0.07085 [0.0599, 0.0818] Incremental R2 (full-covars): 5e-05 PGS R2 (no covariates): 0.00478 [0.00173, 0.00782] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006494 | PGS001766 (GBE_INI25685) |
PSS006330| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract corticospinal tract (L) | — | — | R²: 0.06388 [0.0603, 0.06745] Incremental R2 (full-covars): 0.0001 PGS R2 (no covariates): 0.00523 [0.00414, 0.00632] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006495 | PGS001767 (GBE_INI25692) |
PSS006331| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.13241 [0.11706, 0.14775] Incremental R2 (full-covars): 0.00274 PGS R2 (no covariates): 0.00115 [-0.0005, 0.00279] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006496 | PGS001767 (GBE_INI25692) |
PSS006332| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.23492 [0.19978, 0.27006] Incremental R2 (full-covars): -9e-05 PGS R2 (no covariates): 0.01234 [0.00194, 0.02273] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006497 | PGS001767 (GBE_INI25692) |
PSS006333| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.03477 [0.0303, 0.03924] Incremental R2 (full-covars): 0.00487 PGS R2 (no covariates): 0.00657 [0.00457, 0.00857] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006498 | PGS001767 (GBE_INI25692) |
PSS006334| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.05183 [0.04228, 0.06139] Incremental R2 (full-covars): -0.0053 PGS R2 (no covariates): 9e-05 [-0.00032, 0.00049] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006499 | PGS001767 (GBE_INI25692) |
PSS006335| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract inferior longitudinal fasciculus (R) | — | — | R²: 0.02314 [0.0209, 0.02539] Incremental R2 (full-covars): 0.00415 PGS R2 (no covariates): 0.00401 [0.00306, 0.00496] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006500 | PGS001768 (GBE_INI25694) |
PSS006336| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract medial lemniscus (L) | — | — | R²: 0.10172 [0.0878, 0.11565] Incremental R2 (full-covars): -0.00461 PGS R2 (no covariates): 1e-05 [-0.00012, 0.00013] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006501 | PGS001768 (GBE_INI25694) |
PSS006337| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract medial lemniscus (L) | — | — | R²: 0.18369 [0.15053, 0.21684] Incremental R2 (full-covars): 0.01058 PGS R2 (no covariates): 0.01037 [0.00082, 0.01991] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006502 | PGS001768 (GBE_INI25694) |
PSS006338| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract medial lemniscus (L) | — | — | R²: 0.05288 [0.04747, 0.05829] Incremental R2 (full-covars): 0.00734 PGS R2 (no covariates): 0.00871 [0.00641, 0.011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006503 | PGS001768 (GBE_INI25694) |
PSS006339| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract medial lemniscus (L) | — | — | R²: 0.06779 [0.05705, 0.07854] Incremental R2 (full-covars): 0.0112 PGS R2 (no covariates): 0.00999 [0.00561, 0.01437] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006504 | PGS001768 (GBE_INI25694) |
PSS006340| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract medial lemniscus (L) | — | — | R²: 0.03749 [0.03468, 0.04031] Incremental R2 (full-covars): 0.00606 PGS R2 (no covariates): 0.00651 [0.0053, 0.00772] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006505 | PGS001769 (GBE_INI25698) |
PSS006341| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.03423 [0.02555, 0.04292] Incremental R2 (full-covars): -0.01756 PGS R2 (no covariates): 2e-05 [-0.00021, 0.00026] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006506 | PGS001769 (GBE_INI25698) |
PSS006342| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.09796 [0.07121, 0.12472] Incremental R2 (full-covars): -0.01703 PGS R2 (no covariates): 0.00031 [-0.00136, 0.00198] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006507 | PGS001769 (GBE_INI25698) |
PSS006343| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.05409 [0.04863, 0.05955] Incremental R2 (full-covars): 0.02406 PGS R2 (no covariates): 0.02261 [0.01896, 0.02626] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006508 | PGS001769 (GBE_INI25698) |
PSS006344| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.04226 [0.03354, 0.05098] Incremental R2 (full-covars): 0.01981 PGS R2 (no covariates): 0.02037 [0.01418, 0.02656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006509 | PGS001769 (GBE_INI25698) |
PSS006345| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (L) | — | — | R²: 0.03208 [0.02946, 0.0347] Incremental R2 (full-covars): 0.01009 PGS R2 (no covariates): 0.01098 [0.00942, 0.01255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006510 | PGS001770 (GBE_INI25699) |
PSS006346| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (R) | — | — | R²: 0.14988 [0.13388, 0.16588] Incremental R2 (full-covars): 0.01393 PGS R2 (no covariates): 0.02826 [0.02032, 0.0362] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006511 | PGS001770 (GBE_INI25699) |
PSS006347| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (R) | — | — | R²: 0.15373 [0.12228, 0.18517] Incremental R2 (full-covars): 0.0043 PGS R2 (no covariates): 0.01199 [0.00174, 0.02224] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006512 | PGS001770 (GBE_INI25699) |
PSS006348| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (R) | — | — | R²: 0.05638 [0.05081, 0.06194] Incremental R2 (full-covars): 0.01726 PGS R2 (no covariates): 0.0182 [0.01491, 0.02149] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006513 | PGS001770 (GBE_INI25699) |
PSS006349| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (R) | — | — | R²: 0.04433 [0.03542, 0.05324] Incremental R2 (full-covars): 0.00553 PGS R2 (no covariates): 0.0049 [0.00181, 0.00798] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006514 | PGS001770 (GBE_INI25699) |
PSS006350| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior longitudinal fasciculus (R) | — | — | R²: 0.04431 [0.04128, 0.04735] Incremental R2 (full-covars): 0.00918 PGS R2 (no covariates): 0.00897 [0.00755, 0.01038] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006515 | PGS001771 (GBE_INI25701) |
PSS006351| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior thalamic radiation (R) | — | — | R²: 0.21404 [0.19637, 0.23171] Incremental R2 (full-covars): -0.00391 PGS R2 (no covariates): 0.00119 [-0.00048, 0.00287] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006516 | PGS001771 (GBE_INI25701) |
PSS006352| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior thalamic radiation (R) | — | — | R²: 0.1263 [0.09687, 0.15572] Incremental R2 (full-covars): 0.00185 PGS R2 (no covariates): 0.01103 [0.00119, 0.02087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006517 | PGS001771 (GBE_INI25701) |
PSS006353| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior thalamic radiation (R) | — | — | R²: 0.19763 [0.18877, 0.20649] Incremental R2 (full-covars): 0.01666 PGS R2 (no covariates): 0.01764 [0.0144, 0.02088] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006518 | PGS001771 (GBE_INI25701) |
PSS006354| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior thalamic radiation (R) | — | — | R²: 0.11276 [0.09957, 0.12595] Incremental R2 (full-covars): 0.01995 PGS R2 (no covariates): 0.01883 [0.01286, 0.02479] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006519 | PGS001771 (GBE_INI25701) |
PSS006355| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA OD in tract superior thalamic radiation (R) | — | — | R²: 0.17298 [0.16779, 0.17817] Incremental R2 (full-covars): 0.01579 PGS R2 (no covariates): 0.01459 [0.01279, 0.01639] |
age, sex, UKB array type, Genotype PCs | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS005181 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005182 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005183 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005184 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005185 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005186 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005187 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005188 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005189 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005190 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005191 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005192 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005193 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005194 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005195 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005201 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005202 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005203 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005204 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005205 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005206 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005207 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005208 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005209 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005210 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005211 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005212 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005213 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005214 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005215 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005216 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005217 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005218 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005219 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005220 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005221 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005222 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005223 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005224 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005225 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005226 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005227 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005228 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005229 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005230 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005231 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005232 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005233 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005234 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS005235 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005236 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005237 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005238 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005239 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005240 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005241 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005242 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005243 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005244 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005245 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005246 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005247 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005248 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005249 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005250 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005251 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005252 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005253 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005254 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005255 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005256 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005257 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005258 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005259 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005260 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005261 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005262 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005263 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005264 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005265 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005266 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005267 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005268 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005269 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005270 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005271 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005272 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005273 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005274 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005275 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005276 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005277 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005278 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005279 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005280 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005281 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005282 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005283 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005284 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005285 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005286 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005287 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005288 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005289 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005290 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005291 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005292 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005293 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005294 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005295 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005296 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005297 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005298 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005299 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005300 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005301 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005302 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005303 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005304 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005305 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005306 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005307 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005308 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005309 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005310 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005311 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005312 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005313 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005314 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005315 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005316 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005317 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005318 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005319 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005320 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005321 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005322 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005323 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005324 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005325 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005326 | — | — | 177 individuals | — | African unspecified | — | UKB | — |
| PSS005327 | — | — | 103 individuals | — | East Asian | — | UKB | — |
| PSS005328 | — | — | 1,543 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005329 | — | — | 293 individuals | — | South Asian | — | UKB | — |
| PSS005330 | — | — | 4,942 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005331 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005332 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005333 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005334 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005335 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005336 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005337 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005338 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005339 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005340 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005341 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005342 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005343 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005344 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005345 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005346 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005347 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005348 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005349 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005350 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005351 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005352 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005353 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005354 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005355 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005356 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005357 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005358 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005359 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005360 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005361 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005362 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005363 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005364 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005365 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005366 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005367 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005368 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005369 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005370 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005371 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005372 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005373 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005374 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005375 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005376 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005377 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005378 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005379 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005380 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005381 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005382 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005383 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005384 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005385 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005386 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005387 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005388 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005389 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005390 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005391 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005392 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005393 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005394 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005395 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005396 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005397 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005398 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005399 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005400 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005401 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005402 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005403 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005404 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005405 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005406 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005407 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005408 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005409 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005410 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005411 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005412 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005413 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005414 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005415 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005416 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005417 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005418 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005419 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005420 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005421 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005422 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005423 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005424 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005425 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005426 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005427 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005428 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005429 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005430 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005431 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005432 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005433 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005434 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005435 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005436 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005437 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005438 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005439 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005440 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005441 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005442 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005443 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005444 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005445 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005446 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005447 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005448 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005449 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005450 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005451 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005452 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005453 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005454 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005455 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005456 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005457 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005458 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005459 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005460 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005461 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005462 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005463 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005464 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005465 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005466 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005467 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005468 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005469 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005470 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005471 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005472 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005473 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005474 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005475 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005476 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005477 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005478 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005479 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005480 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005481 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005482 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005483 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005484 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005485 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005486 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005487 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005488 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005489 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005490 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005491 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005492 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005493 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005494 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005495 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005496 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005497 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005498 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005499 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005500 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005501 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005502 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005503 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005504 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005505 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005506 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005507 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005508 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005509 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005510 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005511 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005512 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005513 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005514 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005515 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005516 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005517 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005518 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005519 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005520 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005521 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005522 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005523 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005524 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005525 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005526 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005527 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005528 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005529 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005530 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005531 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005532 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005533 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005534 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005535 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005536 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005537 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005538 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005539 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005540 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005541 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005542 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005543 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005544 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005545 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005546 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005547 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005548 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005549 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005550 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005551 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005552 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005553 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005554 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005555 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005556 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005557 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005558 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005559 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005560 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005561 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005562 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005563 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005564 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005565 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005566 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005567 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005568 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005569 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005570 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005571 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005572 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005573 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005574 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005575 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005576 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005577 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005578 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005579 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005580 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005581 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005582 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005583 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005584 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005585 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005586 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005587 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005588 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005589 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005590 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005591 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005592 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005593 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005594 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005595 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005596 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005597 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005598 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005599 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005600 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005601 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005602 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005603 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005604 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005605 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005606 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005607 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005608 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005609 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005610 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005611 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005612 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005613 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005614 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005615 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005616 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005617 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005618 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005619 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005620 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005621 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005622 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005623 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005624 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005625 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005626 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005627 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005628 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005629 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005630 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005631 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005632 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005633 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005634 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005635 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005636 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005637 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005638 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005639 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005640 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005641 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005642 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005643 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005644 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005645 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005646 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005647 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005648 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005649 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005650 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005651 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005652 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005653 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005654 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005655 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005656 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005657 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005658 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005659 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005660 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005661 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005662 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005663 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005664 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005665 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005666 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005667 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005668 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005669 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005670 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005671 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005672 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005673 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005674 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005675 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005676 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005677 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005678 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005679 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005680 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005681 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005682 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005683 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005684 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005685 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005686 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005687 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005688 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005689 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005690 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005691 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005692 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005693 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005694 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005695 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005696 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005697 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005698 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005699 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005700 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005701 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005702 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005703 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005704 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005705 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005706 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005707 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005708 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005709 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005710 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005711 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005712 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005713 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005714 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005715 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005716 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005717 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005718 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005719 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005720 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005721 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005722 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005723 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005724 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005725 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005726 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005727 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005728 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005729 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005730 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005731 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005732 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005733 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005734 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005735 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005736 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005737 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005738 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005739 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005740 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005741 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005742 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005743 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005744 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005745 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005746 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005747 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005748 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005749 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005750 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005751 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005752 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005753 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005754 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005755 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005756 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005757 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005758 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005759 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005760 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005761 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005762 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005763 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005764 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005765 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005766 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005767 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005768 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005769 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005770 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005771 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005772 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005773 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005774 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005775 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005776 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005777 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005778 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005779 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005780 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005781 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005782 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005783 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005784 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005785 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005786 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005787 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005788 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005789 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005790 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005791 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005792 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005793 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005794 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005795 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005796 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005797 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005798 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005799 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005800 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005801 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005802 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005803 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005804 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005805 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005806 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005807 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005808 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005809 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005810 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005811 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005812 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005813 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005814 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005815 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005816 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005817 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005818 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005819 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005820 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005821 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005822 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005823 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005824 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005825 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005826 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005827 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005828 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005829 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005830 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005831 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005832 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005833 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005834 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005835 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005836 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005837 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005838 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005839 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005840 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005841 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005842 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005843 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005844 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005845 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005846 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005847 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005848 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005849 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005850 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005851 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005852 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005853 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005854 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005855 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005856 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005857 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005858 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005859 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005860 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005861 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005862 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005863 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005864 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005865 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005866 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005867 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005868 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005869 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005870 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005871 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005872 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005873 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005874 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005875 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005876 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005877 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005878 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005879 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005880 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005881 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005882 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005883 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005884 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005885 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005886 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005887 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005888 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005889 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005890 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005891 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005892 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005893 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005894 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005895 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005896 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005897 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005898 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005899 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005900 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005901 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005902 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005903 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005904 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005905 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005906 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005907 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005908 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005909 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005910 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005911 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005912 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005913 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005914 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005915 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005916 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005917 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005918 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005919 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005920 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005921 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005922 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005923 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005924 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005925 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005926 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005927 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005928 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005929 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005930 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005931 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005932 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005933 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005934 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005935 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005936 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005937 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005938 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005939 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005940 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005941 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005942 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005943 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005944 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005945 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005946 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005947 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005948 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005949 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005950 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005951 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005952 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005953 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005954 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005955 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005956 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005957 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005958 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005959 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005960 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005961 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005962 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005963 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005964 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005965 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005966 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005967 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005968 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005969 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005970 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005971 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005972 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005973 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005974 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005975 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005976 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005977 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005978 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005979 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005980 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005981 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005982 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005983 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005984 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005985 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005986 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005987 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005988 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005989 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005990 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005991 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005992 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005993 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005994 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005995 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005996 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005997 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005998 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005999 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006000 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006001 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006002 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006003 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006004 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006005 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006006 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006007 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006008 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006009 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006010 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006011 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006012 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006013 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006014 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006015 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006016 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006017 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006018 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006019 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006020 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006021 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006022 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006023 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006024 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006025 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006026 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006027 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006028 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006029 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006030 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006031 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006032 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006033 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006034 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006035 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006036 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006037 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006038 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006039 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006040 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006041 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006042 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006043 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006044 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006045 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006046 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006047 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006048 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006049 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006050 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006051 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006052 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006053 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006054 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006055 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006056 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006057 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006058 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006059 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006060 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006061 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006062 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006063 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006064 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006065 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006066 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006067 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006068 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006069 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006070 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006071 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006072 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006073 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006074 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006075 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006076 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006077 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006078 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006079 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006080 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006081 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006082 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006083 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006084 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006085 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006086 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006087 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006088 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006089 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006090 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006091 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006092 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006093 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006094 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006095 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006096 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006097 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006098 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006099 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006100 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006101 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006102 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006103 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006104 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006105 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006106 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006107 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006108 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006109 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006110 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006111 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006112 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006113 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006114 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006115 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006116 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006117 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006118 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006119 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006120 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006121 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006122 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006123 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006124 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006125 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006126 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006127 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006128 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006129 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006130 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006131 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006132 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006133 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006134 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006135 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006136 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006137 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006138 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006139 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006140 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006141 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006142 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006143 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006144 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006145 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006146 | — | — | 173 individuals | — | African unspecified | — | UKB | — |
| PSS006147 | — | — | 101 individuals | — | East Asian | — | UKB | — |
| PSS006148 | — | — | 1,581 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006149 | — | — | 287 individuals | — | South Asian | — | UKB | — |
| PSS006150 | — | — | 4,918 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006151 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006152 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006153 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006154 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006155 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006156 | — | — | 166 individuals | — | African unspecified | — | UKB | — |
| PSS006157 | — | — | 98 individuals | — | East Asian | — | UKB | — |
| PSS006158 | — | — | 1,547 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006159 | — | — | 283 individuals | — | South Asian | — | UKB | — |
| PSS006160 | — | — | 4,801 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006161 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006162 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006163 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006164 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006165 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006166 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006167 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006168 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006169 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006170 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006171 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006172 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006173 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006174 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006175 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006176 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006177 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006178 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006179 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006180 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006181 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006182 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006183 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006184 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006185 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006186 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006187 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006188 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006189 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006190 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006191 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006192 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006193 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006194 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006195 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006196 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006197 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006198 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006199 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006200 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006201 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006202 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006203 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006204 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006205 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006206 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006207 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006208 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006209 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006210 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006211 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006212 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006213 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006214 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006215 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006216 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006217 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006218 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006219 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006220 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006221 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006222 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006223 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006224 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006225 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006226 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006227 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006228 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006229 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006230 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006231 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006232 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006233 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006234 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006235 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006236 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006237 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006238 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006239 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006240 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006241 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006242 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006243 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006244 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006245 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006246 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006247 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006248 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006249 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006250 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006251 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006252 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006253 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006254 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006255 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006256 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006257 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006258 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006259 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006260 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006261 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006262 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006263 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006264 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006265 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006266 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006267 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006268 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006269 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006270 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006271 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006272 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006273 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006274 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006275 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006276 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006277 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006278 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006279 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006280 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006281 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006282 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006283 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006284 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006285 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006286 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006287 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006288 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006289 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006290 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006291 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006292 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006293 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006294 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006295 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006296 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006297 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006298 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006299 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006300 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006301 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006302 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006303 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006304 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006305 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006306 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006307 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006308 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006309 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006310 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006311 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006312 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006313 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006314 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006315 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006316 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006317 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006318 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006319 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006320 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006321 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006322 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006323 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006324 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006325 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006326 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006327 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006328 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006329 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006330 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006331 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006332 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006333 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006334 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006335 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006336 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006337 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006338 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006339 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006340 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006341 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006342 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006343 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006344 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006345 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006346 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006347 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006348 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006349 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006350 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006351 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006352 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006353 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006354 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006355 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006356 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006357 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006358 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006359 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006360 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006361 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006362 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006363 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006364 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006365 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006366 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006367 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006368 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006369 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006370 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006371 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006372 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006373 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006374 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006375 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006376 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006377 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006378 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006379 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006380 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006381 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006382 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006383 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006384 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006385 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006386 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006387 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006388 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006389 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006390 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006391 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006392 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006393 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006394 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006395 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006396 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006397 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006398 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006399 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006400 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006401 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006402 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006403 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006404 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006405 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006406 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006407 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006408 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006409 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006410 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006411 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006412 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006413 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006414 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006415 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006416 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006417 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006418 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006419 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006420 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006421 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006422 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006423 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006424 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006425 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006426 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006427 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006428 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006429 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006430 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006431 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS006432 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS006433 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006434 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS006435 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006436 | — | — | 189 individuals | — | African unspecified | — | UKB | — |
| PSS006437 | — | — | 109 individuals | — | East Asian | — | UKB | — |
| PSS006438 | — | — | 1,682 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006439 | — | — | 306 individuals | — | South Asian | — | UKB | — |
| PSS006440 | — | — | 5,254 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006441 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006442 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006443 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006444 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006445 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006446 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006447 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006448 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006449 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006450 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006451 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006452 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006453 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006454 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006455 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006456 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006457 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006458 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006459 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006460 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006461 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006462 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006463 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006464 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006465 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006466 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006467 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006468 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006469 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006470 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006471 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006472 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006473 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006474 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006475 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006476 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006477 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006478 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006479 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006480 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006481 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006482 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006483 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006484 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006485 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006486 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006487 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006488 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006489 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006490 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006491 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006492 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006493 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006494 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006495 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006496 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006497 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006498 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006499 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006500 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006501 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006502 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006503 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006504 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006505 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006506 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006507 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006508 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006509 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006510 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006511 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006512 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006513 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006514 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006515 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006516 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006517 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006518 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006519 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006520 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006521 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006522 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006523 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006524 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006525 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006526 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006527 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006528 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006529 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006530 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006531 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006532 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006533 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006534 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006535 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006541 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006542 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006543 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006544 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006545 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006546 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006547 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006548 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006549 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006550 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006551 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006552 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006553 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006554 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006555 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006556 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006557 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006558 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006559 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006560 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006561 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006562 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006563 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006564 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006565 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006566 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006567 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006568 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006569 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006570 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006571 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006572 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006573 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006574 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006575 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006576 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006577 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006578 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006579 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006580 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006581 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006582 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006583 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006584 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006585 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006586 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006587 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006588 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006589 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006590 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006591 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006592 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006593 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006594 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006595 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006596 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006597 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006598 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006599 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006600 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006601 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006602 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006603 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006604 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006605 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006606 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006607 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006608 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006609 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006610 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006611 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006612 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006613 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006614 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006615 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006616 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006617 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006618 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006619 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006620 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006621 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006622 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006623 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006624 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006625 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006626 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006627 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006628 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006629 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006630 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006631 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006632 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006633 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006634 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006635 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006636 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006637 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006638 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006639 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006640 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006641 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006642 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006643 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006644 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006645 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006646 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006647 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006648 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006649 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006650 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006656 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006657 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006658 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006659 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006660 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006661 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006662 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006663 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006664 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006665 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006666 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006667 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006668 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006669 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006670 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006671 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006672 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006673 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006674 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006675 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006676 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006677 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006678 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006679 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006680 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006681 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006682 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006683 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006684 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006685 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006686 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006687 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006688 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006689 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006690 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006691 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006692 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006693 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006694 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006695 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006696 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006697 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006698 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006699 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006700 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006701 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006702 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006703 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006704 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006705 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006706 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006707 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006708 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006709 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006710 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006711 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006712 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006713 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006714 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006715 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006716 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006717 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006718 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006719 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006720 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006721 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006722 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006723 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006724 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006725 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006726 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006727 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006728 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006729 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006730 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006731 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006732 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006733 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006734 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006735 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006736 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006737 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006738 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006739 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006740 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006741 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006742 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006743 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006744 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006745 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006746 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006747 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006748 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006749 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006750 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006751 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006752 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006753 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006754 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006755 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006756 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006757 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006758 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006759 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006760 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006761 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006762 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006763 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006764 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006765 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006766 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006767 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006768 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006769 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006770 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006771 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006772 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006773 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006774 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006775 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006776 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006777 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006778 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006779 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006780 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006781 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006782 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006783 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006784 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006785 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006786 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006787 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006788 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006789 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006790 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006791 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006792 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006793 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006794 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006795 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006796 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006797 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006798 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006799 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006800 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006801 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006802 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006803 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006804 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006805 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006806 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006807 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006808 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006809 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006810 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006811 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006812 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006813 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006814 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006815 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006816 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006817 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006818 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006819 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006820 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006821 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006822 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006823 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006824 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006825 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006826 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006827 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006828 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006829 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006830 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006831 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006832 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006833 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006834 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006835 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006836 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006837 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006838 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006839 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006840 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006841 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006842 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006843 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006844 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006845 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006846 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006847 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006848 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006849 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006850 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006851 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006852 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006853 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006854 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006855 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006856 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006857 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006858 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006859 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006860 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006861 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006862 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006863 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006864 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006865 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006866 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006867 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006868 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006869 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006870 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |