| Predicted Trait | |
| Reported Trait | Volume of grey matter in Middle Temporal Gyrus, posterior division (R) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25805 |
| Score Construction | |
| PGS Name | GBE_INI25805 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,076 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM006675 | PSS006511| African Ancestry| 200 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.17986 [0.16295, 0.19676] Incremental R2 (full-covars): 0.0186 PGS R2 (no covariates): 0.01721 [0.01094, 0.02348] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006676 | PSS006512| East Asian Ancestry| 113 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.25607 [0.22039, 0.29174] Incremental R2 (full-covars): 0.0084 PGS R2 (no covariates): 0.01333 [0.00253, 0.02412] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006677 | PSS006513| European Ancestry| 1,739 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.15437 [0.14612, 0.16263] Incremental R2 (full-covars): 0.00255 PGS R2 (no covariates): 0.00308 [0.0017, 0.00445] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006678 | PSS006514| South Asian Ancestry| 329 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.21472 [0.19861, 0.23083] Incremental R2 (full-covars): 0.00514 PGS R2 (no covariates): 0.0065 [0.00296, 0.01005] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006679 | PSS006515| European Ancestry| 5,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Vol. of grey matter in Middle Temporal Gyrus, posterior division (R) | — | — | R²: 0.10368 [0.09932, 0.10803] Incremental R2 (full-covars): 0.00457 PGS R2 (no covariates): 0.00634 [0.00514, 0.00753] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006511 | — | — | 200 individuals | — | African unspecified | — | UKB | — |
| PSS006512 | — | — | 113 individuals | — | East Asian | — | UKB | — |
| PSS006513 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006514 | — | — | 329 individuals | — | South Asian | — | UKB | — |
| PSS006515 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |