| Predicted Trait | |
| Reported Trait | Volume of grey matter in Brain-Stem | 
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25892 | 
| Score Construction | |
| PGS Name | GBE_INI25892 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 632 | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PPM006895 | PSS006741| African Ancestry| 200 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.24269 [0.22456, 0.26083] Incremental R2 (full-covars): 0.00405 PGS R2 (no covariates): 0.00811 [0.00377, 0.01245] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006896 | PSS006742| East Asian Ancestry| 113 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.1967 [0.16294, 0.23046] Incremental R2 (full-covars): 0.00075 PGS R2 (no covariates): 0.0027 [-0.00221, 0.00761] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006897 | PSS006743| European Ancestry| 1,739 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.21887 [0.2098, 0.22795] Incremental R2 (full-covars): 0.01099 PGS R2 (no covariates): 0.01607 [0.01297, 0.01917] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006898 | PSS006744| South Asian Ancestry| 329 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.24109 [0.22459, 0.25759] Incremental R2 (full-covars): 0.01533 PGS R2 (no covariates): 0.01921 [0.01319, 0.02522] | age, sex, UKB array type, Genotype PCs | — | 
| PPM006899 | PSS006745| European Ancestry| 5,443 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Vol. of grey matter in Brain-Stem | — | — | R²: 0.13674 [0.13192, 0.14156] Incremental R2 (full-covars): 0.00927 PGS R2 (no covariates): 0.01067 [0.00913, 0.01221] | 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS006741 | — | — | 200 individuals | — | African unspecified | — | UKB | — | 
| PSS006742 | — | — | 113 individuals | — | East Asian | — | UKB | — | 
| PSS006743 | — | — | 1,739 individuals | — | European | non-white British ancestry | UKB | — | 
| PSS006744 | — | — | 329 individuals | — | South Asian | — | UKB | — | 
| PSS006745 | — | — | 5,443 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |