| Predicted Trait | |
| Reported Trait | Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (L) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25870 |
| Score Construction | |
| PGS Name | GBE_INI25870 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,604 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM006820 | PSS006666| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.17873 [0.16186, 0.19561] Incremental R2 (full-covars): -0.03706 PGS R2 (no covariates): 0.00747 [0.0033, 0.01165] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006821 | PSS006667| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.25132 [0.21575, 0.28689] Incremental R2 (full-covars): 0.01467 PGS R2 (no covariates): 0.00666 [-0.00102, 0.01434] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006822 | PSS006668| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.21558 [0.20654, 0.22463] Incremental R2 (full-covars): 0.00414 PGS R2 (no covariates): 0.00729 [0.00519, 0.0094] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006823 | PSS006669| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.23724 [0.2208, 0.25369] Incremental R2 (full-covars): 0.02533 PGS R2 (no covariates): 0.01841 [0.01251, 0.02431] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006824 | PSS006670| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Heschl's Gyrus (includes H1 and H2) (L) | — | — | R²: 0.18505 [0.17976, 0.19034] Incremental R2 (full-covars): 0.00874 PGS R2 (no covariates): 0.0109 [0.00934, 0.01246] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006666 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006667 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006668 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006669 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006670 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |