| Predicted Trait | |
| Reported Trait | Volume of accumbens (L) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25023 |
| Score Construction | |
| PGS Name | GBE_INI25023 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 647 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM005445 | PSS005281| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.22724 [0.20933, 0.24514] Incremental R2 (full-covars): 0.00582 PGS R2 (no covariates): 0.0189 [0.01234, 0.02546] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005446 | PSS005282| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.1475 [0.11648, 0.17853] Incremental R2 (full-covars): -0.00779 PGS R2 (no covariates): 0.00255 [-0.00222, 0.00733] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005447 | PSS005283| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.2189 [0.20982, 0.22797] Incremental R2 (full-covars): 0.00532 PGS R2 (no covariates): 0.00656 [0.00456, 0.00856] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005448 | PSS005284| South Asian Ancestry| 328 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.26307 [0.24633, 0.2798] Incremental R2 (full-covars): -0.00549 PGS R2 (no covariates): 0.0 [-0.00008, 0.00008] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005449 | PSS005285| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of accumbens (L) | — | — | R²: 0.15316 [0.14816, 0.15817] Incremental R2 (full-covars): 0.00598 PGS R2 (no covariates): 0.00546 [0.00435, 0.00657] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS005281 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS005282 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS005283 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005284 | — | — | 328 individuals | — | South Asian | — | UKB | — |
| PSS005285 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |