Predicted Trait | |
Reported Trait | Volume of grey matter in Putamen (L) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25882 |
Score Construction | |
PGS Name | GBE_INI25882 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 274 |
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 |
---|---|---|---|---|---|---|---|---|
PPM006860 | 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 | 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 | 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 | 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 | 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 | — |
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 |
---|---|---|---|---|---|---|---|---|
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) |