Predicted Trait | |
Reported Trait | Freq. of drinking alcohol |
Mapped Trait(s) | alcohol consumption measurement (EFO_0007878) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI20414 |
Score Construction | |
PGS Name | GBE_INI20414 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 860 |
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% 88,182 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 |
---|---|---|---|---|---|---|---|---|
— | 88,182 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 |
---|---|---|---|---|---|---|---|---|
PPM005250 | PSS004901| African Ancestry| 916 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of drinking alcohol | — | — | R²: 0.06812 [0.0563, 0.07994] Incremental R2 (full-covars): -0.00597 PGS R2 (no covariates): 0.00346 [0.00061, 0.0063] |
age, sex, UKB array type, Genotype PCs | — |
PPM005251 | PSS004902| East Asian Ancestry| 362 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of drinking alcohol | — | — | R²: 0.0612 [0.03919, 0.08321] Incremental R2 (full-covars): 0.00664 PGS R2 (no covariates): 0.00812 [-0.00035, 0.01659] |
age, sex, UKB array type, Genotype PCs | — |
PPM005252 | PSS004903| European Ancestry| 8,143 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of drinking alcohol | — | — | R²: 0.03774 [0.03309, 0.04238] Incremental R2 (full-covars): 0.00221 PGS R2 (no covariates): 0.00497 [0.00323, 0.00671] |
age, sex, UKB array type, Genotype PCs | — |
PPM005253 | PSS004904| South Asian Ancestry| 1,046 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of drinking alcohol | — | — | R²: 0.08608 [0.0742, 0.09795] Incremental R2 (full-covars): 0.00166 PGS R2 (no covariates): 0.00099 [-0.0004, 0.00239] |
age, sex, UKB array type, Genotype PCs | — |
PPM005254 | PSS004905| European Ancestry| 22,013 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Freq. of drinking alcohol | — | — | R²: 0.03531 [0.03257, 0.03804] Incremental R2 (full-covars): 0.00358 PGS R2 (no covariates): 0.00342 [0.00254, 0.0043] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004901 | — | — | 916 individuals | — | African unspecified | — | UKB | — |
PSS004902 | — | — | 362 individuals | — | East Asian | — | UKB | — |
PSS004903 | — | — | 8,143 individuals | — | European | non-white British ancestry | UKB | — |
PSS004904 | — | — | 1,046 individuals | — | South Asian | — | UKB | — |
PSS004905 | — | — | 22,013 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |