| Predicted Trait | |
| Reported Trait | Fresh fruit intake |
| Mapped Trait(s) | diet measurement (EFO_0008111) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1309 |
| Score Construction | |
| PGS Name | GBE_INI1309 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 4,257 |
| 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% 261,191 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 |
|---|---|---|---|---|---|---|---|---|
| — | 261,191 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 |
|---|---|---|---|---|---|---|---|---|
| PPM008068 | PSS004816| African Ancestry| 6,032 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fresh fruit intake | — | — | R²: 0.02533 [0.01779, 0.03287] Incremental R2 (full-covars): 0.00021 PGS R2 (no covariates): 0.00107 [-0.00052, 0.00265] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008069 | PSS004817| East Asian Ancestry| 1,592 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fresh fruit intake | — | — | R²: 0.01082 [0.00107, 0.02056] Incremental R2 (full-covars): -0.00286 PGS R2 (no covariates): 4e-05 [-0.00054, 0.00062] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008070 | PSS004818| European Ancestry| 24,138 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fresh fruit intake | — | — | R²: 0.03809 [0.03342, 0.04275] Incremental R2 (full-covars): 0.00379 PGS R2 (no covariates): 0.00464 [0.00295, 0.00632] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008071 | PSS004819| South Asian Ancestry| 7,340 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fresh fruit intake | — | — | R²: 0.01209 [0.00728, 0.0169] Incremental R2 (full-covars): 0.00017 PGS R2 (no covariates): 0.00092 [-0.00042, 0.00226] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008072 | PSS004820| European Ancestry| 65,281 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Fresh fruit intake | — | — | R²: 0.02519 [0.02286, 0.02753] Incremental R2 (full-covars): 0.00617 PGS R2 (no covariates): 0.00619 [0.00501, 0.00737] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS004816 | — | — | 6,032 individuals | — | African unspecified | — | UKB | — |
| PSS004817 | — | — | 1,592 individuals | — | East Asian | — | UKB | — |
| PSS004818 | — | — | 24,138 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004819 | — | — | 7,340 individuals | — | South Asian | — | UKB | — |
| PSS004820 | — | — | 65,281 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |