| Predicted Trait | |
| Reported Trait | Volume of grey matter in Amygdala (L) | 
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25888 | 
| Score Construction | |
| PGS Name | GBE_INI25888 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 115 | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PPM006880 | PSS006726| African Ancestry| 200 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.23372 [0.21572, 0.25173] Incremental R2 (full-covars): -0.00429 PGS R2 (no covariates): 0.00136 [-0.00043, 0.00315] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006881 | PSS006727| East Asian Ancestry| 113 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.23906 [0.2038, 0.27431] Incremental R2 (full-covars): -0.0066 PGS R2 (no covariates): 0.00025 [-0.00124, 0.00174] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006882 | PSS006728| European Ancestry| 1,739 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.26999 [0.26057, 0.27941] Incremental R2 (full-covars): 0.00564 PGS R2 (no covariates): 0.00876 [0.00645, 0.01106] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006883 | PSS006729| South Asian Ancestry| 329 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.32251 [0.30548, 0.33955] Incremental R2 (full-covars): 0.00363 PGS R2 (no covariates): 0.00861 [0.00453, 0.01268] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006884 | PSS006730| European Ancestry| 5,443 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Amygdala (L) | — | — | R²: 0.21374 [0.20825, 0.21922] Incremental R2 (full-covars): 0.00458 PGS R2 (no covariates): 0.00876 [0.00736, 0.01016] | 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS006726 | — | — | 200 individuals | — | African unspecified | — | UKB | — | 
| PSS006727 | — | — | 113 individuals | — | East Asian | — | UKB | — | 
| PSS006728 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — | 
| PSS006729 | — | — | 329 individuals | — | South Asian | — | UKB | — | 
| PSS006730 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |