| Predicted Trait | |
| Reported Trait | Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (R) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25871 |
| Score Construction | |
| PGS Name | GBE_INI25871 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,524 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM006825 | PSS006671| 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) (R) | — | — | R²: 0.19269 [0.17546, 0.20991] Incremental R2 (full-covars): 0.00266 PGS R2 (no covariates): 0.01315 [0.00765, 0.01865] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006826 | PSS006672| 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) (R) | — | — | R²: 0.21725 [0.18268, 0.25183] Incremental R2 (full-covars): -0.01478 PGS R2 (no covariates): 0.00072 [-0.00182, 0.00326] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006827 | PSS006673| 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) (R) | — | — | R²: 0.23012 [0.22094, 0.23929] Incremental R2 (full-covars): 0.00552 PGS R2 (no covariates): 0.00646 [0.00447, 0.00844] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006828 | PSS006674| 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) (R) | — | — | R²: 0.24992 [0.23332, 0.26653] Incremental R2 (full-covars): -0.00671 PGS R2 (no covariates): 0.00084 [-0.00044, 0.00212] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006829 | PSS006675| 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) (R) | — | — | R²: 0.18597 [0.18067, 0.19127] Incremental R2 (full-covars): 0.00727 PGS R2 (no covariates): 0.01001 [0.00852, 0.01151] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006671 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006672 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006673 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006674 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006675 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |