Predicted Trait | |
Reported Trait | Volume of grey matter in Putamen (R) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25883 |
Score Construction | |
PGS Name | GBE_INI25883 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 562 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 22,320 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | 22,320 individuals | European | UKB | — | — | — | white British ancestry | Training + validation cohort (train_val) |
PGS Performance Metric ID (PPM) |
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 |
---|---|---|---|---|---|---|---|---|
PPM006865 | 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 | 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 | 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 | 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 | 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 | — |
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 |
---|---|---|---|---|---|---|---|---|
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) |