| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0005420 |
| Description | quantification of the volume of grey matter in the brain, usuallly through an MRI scan. Grey matter volume is associated with schizophrenia. | Trait category |
Other measurement
|
| Child trait(s) | superior frontal gyrus grey matter volume measurement |
| 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) |
|---|---|---|---|---|---|---|
| PGS001142 (GBE_INI25829) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Intracalcarine Cortex (R) | grey matter volume measurement | 2,215 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001142/ScoringFiles/PGS001142.txt.gz |
| PGS001143 (GBE_INI25867) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of grey matter in Parietal Operculum Cortex (R) | grey matter volume measurement | 699 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001143/ScoringFiles/PGS001143.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 |
| 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 |
| 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 |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM008437 | PGS001142 (GBE_INI25829) |
PSS006536| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (R) | — | — | R²: 0.07449 [0.06221, 0.08677] Incremental R2 (full-covars): -0.02759 PGS R2 (no covariates): 3e-05 [-0.00025, 0.00032] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008438 | PGS001142 (GBE_INI25829) |
PSS006537| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (R) | — | — | R²: 0.26785 [0.23195, 0.30376] Incremental R2 (full-covars): 0.01816 PGS R2 (no covariates): 0.01143 [0.00142, 0.02145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008439 | PGS001142 (GBE_INI25829) |
PSS006538| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (R) | — | — | R²: 0.1698 [0.1613, 0.17829] Incremental R2 (full-covars): 0.04347 PGS R2 (no covariates): 0.04048 [0.03569, 0.04528] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008440 | PGS001142 (GBE_INI25829) |
PSS006539| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (R) | — | — | R²: 0.13771 [0.12354, 0.15187] Incremental R2 (full-covars): 0.01521 PGS R2 (no covariates): 0.01545 [0.01003, 0.02087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008441 | PGS001142 (GBE_INI25829) |
PSS006540| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Intracalcarine Cortex (R) | — | — | R²: 0.12734 [0.12264, 0.13205] Incremental R2 (full-covars): 0.04583 PGS R2 (no covariates): 0.04724 [0.04412, 0.05037] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008442 | PGS001143 (GBE_INI25867) |
PSS006651| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.16219 [0.14579, 0.17859] Incremental R2 (full-covars): 0.00336 PGS R2 (no covariates): 0.00042 [-0.00058, 0.00142] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008443 | PGS001143 (GBE_INI25867) |
PSS006652| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.22649 [0.1916, 0.26137] Incremental R2 (full-covars): 0.00699 PGS R2 (no covariates): 0.00387 [-0.002, 0.00975] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008444 | PGS001143 (GBE_INI25867) |
PSS006653| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.21266 [0.20364, 0.22168] Incremental R2 (full-covars): 0.00324 PGS R2 (no covariates): 0.00394 [0.00238, 0.00549] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008445 | PGS001143 (GBE_INI25867) |
PSS006654| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.18614 [0.1706, 0.20169] Incremental R2 (full-covars): 0.00981 PGS R2 (no covariates): 0.00576 [0.00242, 0.0091] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008446 | PGS001143 (GBE_INI25867) |
PSS006655| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Parietal Operculum Cortex (R) | — | — | R²: 0.15331 [0.1483, 0.15831] Incremental R2 (full-covars): 0.00692 PGS R2 (no covariates): 0.00739 [0.0061, 0.00868] |
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 | — |
| 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 | — |
| 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 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| 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) |
| 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) |
| 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) |
| 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) |
| PSS006536 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006537 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006538 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006539 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006540 | — | — | 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) |
| PSS006651 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006652 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006653 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006654 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006655 | — | — | 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) |