| Predicted Trait | |
| Reported Trait | Coffee intake |
| Mapped Trait(s) | coffee consumption measurement (EFO_0006781) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1498 |
| Score Construction | |
| PGS Name | GBE_INI1498 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 3,154 |
| 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% 252,192 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 |
|---|---|---|---|---|---|---|---|---|
| — | 252,192 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 |
|---|---|---|---|---|---|---|---|---|
| PPM008358 | PSS004856| African Ancestry| 5,753 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Coffee intake | — | — | R²: 0.02026 [0.01348, 0.02704] Incremental R2 (full-covars): -0.00015 PGS R2 (no covariates): 0.00245 [0.00005, 0.00484] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008359 | PSS004857| East Asian Ancestry| 1,455 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Coffee intake | — | — | R²: 0.05298 [0.03232, 0.07363] Incremental R2 (full-covars): 0.00443 PGS R2 (no covariates): 0.00591 [-0.00133, 0.01315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008360 | PSS004858| European Ancestry| 23,191 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Coffee intake | — | — | R²: 0.02284 [0.01917, 0.02651] Incremental R2 (full-covars): 0.00663 PGS R2 (no covariates): 0.00615 [0.00421, 0.00809] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008361 | PSS004859| South Asian Ancestry| 6,844 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Coffee intake | — | — | R²: 0.02847 [0.02121, 0.03573] Incremental R2 (full-covars): -0.00336 PGS R2 (no covariates): 0.00187 [-0.00004, 0.00379] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008362 | PSS004860| European Ancestry| 62,965 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Coffee intake | — | — | R²: 0.01573 [0.01387, 0.01759] Incremental R2 (full-covars): 0.00848 PGS R2 (no covariates): 0.00833 [0.00697, 0.0097] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS004860 | — | — | 62,965 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004856 | — | — | 5,753 individuals | — | African unspecified | — | UKB | — |
| PSS004857 | — | — | 1,455 individuals | — | East Asian | — | UKB | — |
| PSS004858 | — | — | 23,191 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004859 | — | — | 6,844 individuals | — | South Asian | — | UKB | — |