Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0008320 |
Description | quantification of the volume of white matter in the brain, usually through an MRI scan | Trait category |
Other 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) |
---|---|---|---|---|---|---|
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 |
PGS001640 (GBE_INI25008) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of white matter | neuroimaging measurement, white matter volume measurement |
1,328 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001640/ScoringFiles/PGS001640.txt.gz |
PGS001641 (GBE_INI25007) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Volume of white matter (normalised for head size) | neuroimaging measurement, white matter volume measurement |
1,005 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001641/ScoringFiles/PGS001641.txt.gz |
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 |
---|---|---|---|---|---|---|---|---|---|
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 | — |
PPM005385 | PGS001640 (GBE_INI25008) |
PSS005221| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.43318 [0.41504, 0.45131] Incremental R2 (full-covars): -0.011 PGS R2 (no covariates): 0.00301 [0.00035, 0.00566] |
age, sex, UKB array type, Genotype PCs | — |
PPM005386 | PGS001640 (GBE_INI25008) |
PSS005222| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.34622 [0.30976, 0.38267] Incremental R2 (full-covars): -0.00469 PGS R2 (no covariates): 0.0184 [0.00578, 0.03102] |
age, sex, UKB array type, Genotype PCs | — |
PPM005387 | PGS001640 (GBE_INI25008) |
PSS005223| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.42054 [0.4112, 0.42987] Incremental R2 (full-covars): 0.02476 PGS R2 (no covariates): 0.03298 [0.02862, 0.03734] |
age, sex, UKB array type, Genotype PCs | — |
PPM005388 | PGS001640 (GBE_INI25008) |
PSS005224| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.40545 [0.38868, 0.42221] Incremental R2 (full-covars): 0.02195 PGS R2 (no covariates): 0.02301 [0.01645, 0.02957] |
age, sex, UKB array type, Genotype PCs | — |
PPM005389 | PGS001640 (GBE_INI25008) |
PSS005225| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter | — | — | R²: 0.3624 [0.35661, 0.36819] Incremental R2 (full-covars): 0.02639 PGS R2 (no covariates): 0.03437 [0.03167, 0.03707] |
age, sex, UKB array type, Genotype PCs | — |
PPM005380 | PGS001641 (GBE_INI25007) |
PSS005216| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.21512 [0.19743, 0.23282] Incremental R2 (full-covars): -0.0154 PGS R2 (no covariates): 0.0028 [0.00023, 0.00536] |
age, sex, UKB array type, Genotype PCs | — |
PPM005381 | PGS001641 (GBE_INI25007) |
PSS005217| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.22502 [0.19018, 0.25986] Incremental R2 (full-covars): 0.01122 PGS R2 (no covariates): 0.01815 [0.00562, 0.03069] |
age, sex, UKB array type, Genotype PCs | — |
PPM005382 | PGS001641 (GBE_INI25007) |
PSS005218| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.16789 [0.15943, 0.17636] Incremental R2 (full-covars): 0.02175 PGS R2 (no covariates): 0.02403 [0.02027, 0.02779] |
age, sex, UKB array type, Genotype PCs | — |
PPM005383 | PGS001641 (GBE_INI25007) |
PSS005219| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.16364 [0.14866, 0.17861] Incremental R2 (full-covars): 0.00858 PGS R2 (no covariates): 0.02028 [0.0141, 0.02646] |
age, sex, UKB array type, Genotype PCs | — |
PPM005384 | PGS001641 (GBE_INI25007) |
PSS005220| European Ancestry| 5,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of white matter (normalised for head size) | — | — | R²: 0.12086 [0.11624, 0.12547] Incremental R2 (full-covars): 0.02406 PGS R2 (no covariates): 0.02556 [0.02321, 0.02791] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS005216 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005217 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005218 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005219 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005220 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS005221 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005222 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005223 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005224 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005225 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS005226 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005227 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005228 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005229 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005230 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS005231 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005232 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005233 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005234 | — | — | 329 individuals | — | South Asian | — | UKB | — |
PSS005235 | — | — | 5,445 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |