| Predicted Trait | |
| Reported Trait | Volume of grey matter in Superior Temporal Gyrus, posterior division (L) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25800 |
| Score Construction | |
| PGS Name | GBE_INI25800 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 530 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM006670 | PSS006506| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.18098 [0.16404, 0.19791] Incremental R2 (full-covars): 0.00203 PGS R2 (no covariates): 0.00625 [0.00243, 0.01006] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006671 | PSS006507| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.05855 [0.03696, 0.08014] Incremental R2 (full-covars): -0.00351 PGS R2 (no covariates): 0.00182 [-0.00222, 0.00585] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006672 | PSS006508| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.15753 [0.14923, 0.16584] Incremental R2 (full-covars): 0.00476 PGS R2 (no covariates): 0.00736 [0.00525, 0.00948] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006673 | PSS006509| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.1574 [0.1426, 0.1722] Incremental R2 (full-covars): 0.01453 PGS R2 (no covariates): 0.01828 [0.01241, 0.02416] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006674 | PSS006510| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Superior Temporal Gyrus, posterior division (L) | — | — | R²: 0.11512 [0.11059, 0.11966] Incremental R2 (full-covars): 0.00623 PGS R2 (no covariates): 0.0077 [0.00638, 0.00901] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006506 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006507 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006508 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006509 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006510 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |