Predicted Trait | |
Reported Trait | Volume of accumbens (R) |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25024 |
Score Construction | |
PGS Name | GBE_INI25024 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 643 |
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% 22,312 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 |
---|---|---|---|---|---|---|---|---|
— | 22,312 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 |
---|---|---|---|---|---|---|---|---|
PPM005450 | PSS005286| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.29382 [0.27521, 0.31242] Incremental R2 (full-covars): -0.00191 PGS R2 (no covariates): 0.00137 [-0.00043, 0.00316] |
age, sex, UKB array type, Genotype PCs | — |
PPM005451 | PSS005287| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.18368 [0.15052, 0.21683] Incremental R2 (full-covars): 0.008 PGS R2 (no covariates): 0.00588 [-0.00134, 0.0131] |
age, sex, UKB array type, Genotype PCs | — |
PPM005452 | PSS005288| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.19982 [0.19094, 0.2087] Incremental R2 (full-covars): 0.0024 PGS R2 (no covariates): 0.00717 [0.00508, 0.00926] |
age, sex, UKB array type, Genotype PCs | — |
PPM005453 | PSS005289| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.30769 [0.29069, 0.3247] Incremental R2 (full-covars): 0.00789 PGS R2 (no covariates): 0.00434 [0.00143, 0.00724] |
age, sex, UKB array type, Genotype PCs | — |
PPM005454 | PSS005290| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (R) | — | — | R²: 0.17591 [0.17069, 0.18113] Incremental R2 (full-covars): 0.0067 PGS R2 (no covariates): 0.0065 [0.00529, 0.0077] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS005286 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
PSS005287 | — | — | 113 individuals | — | East Asian | — | UKB | — |
PSS005288 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
PSS005289 | — | — | 328 individuals | — | South Asian | — | UKB | — |
PSS005290 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |