Predicted Trait | |
Reported Trait | Alcohol intake frequency |
Mapped Trait(s) | alcohol consumption measurement (EFO_0007878) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/QT_FC1001558 |
Score Construction | |
PGS Name | GBE_QT_FC1001558 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 8,353 |
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% 269,521 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 |
---|---|---|---|---|---|---|---|---|
— | 269,521 individuals | European | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM008184 | PSS007567| East Asian Ancestry| 1,666 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Alcohol intake frequency. | — | — | R²: 0.06423 [0.04175, 0.0867] Incremental R2 (full-covars): 0.00344 PGS R2 (no covariates): 0.00917 [0.00018, 0.01817] |
age, sex, UKB array type, Genotype PCs | — |
PPM008183 | PSS007566| African Ancestry| 6,405 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Alcohol intake frequency. | — | — | R²: 0.08212 [0.06934, 0.09491] Incremental R2 (full-covars): -0.00402 PGS R2 (no covariates): 0.00011 [-0.0004, 0.00062] |
age, sex, UKB array type, Genotype PCs | — |
PPM008185 | PSS007568| European Ancestry| 24,881 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Alcohol intake frequency. | — | — | R²: 0.05667 [0.05109, 0.06224] Incremental R2 (full-covars): 0.01563 PGS R2 (no covariates): 0.01863 [0.0153, 0.02196] |
age, sex, UKB array type, Genotype PCs | — |
PPM008186 | PSS007569| South Asian Ancestry| 7,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Alcohol intake frequency. | — | — | R²: 0.12724 [0.11346, 0.14103] Incremental R2 (full-covars): 0.00158 PGS R2 (no covariates): 0.00484 [0.00177, 0.0079] |
age, sex, UKB array type, Genotype PCs | — |
PPM008187 | PSS007570| European Ancestry| 67,383 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Alcohol intake frequency. | — | — | R²: 0.05002 [0.04681, 0.05323] Incremental R2 (full-covars): 0.01708 PGS R2 (no covariates): 0.01731 [0.01536, 0.01926] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007566 | — | — | 6,405 individuals | — | African unspecified | — | UKB | — |
PSS007567 | — | — | 1,666 individuals | — | East Asian | — | UKB | — |
PSS007568 | — | — | 24,881 individuals | — | European | non-white British ancestry | UKB | — |
PSS007569 | — | — | 7,655 individuals | — | South Asian | — | UKB | — |
PSS007570 | — | — | 67,383 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |