| Predicted Trait | |
| Reported Trait | Bread intake |
| Mapped Trait(s) | carbohydrate intake measurement (EFO_0010811) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1438 |
| Score Construction | |
| PGS Name | GBE_INI1438 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 3,483 |
| 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% 264,528 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 |
|---|---|---|---|---|---|---|---|---|
| — | 264,528 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 |
|---|---|---|---|---|---|---|---|---|
| PPM007683 | PSS004841| African Ancestry| 5,979 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Bread intake | — | — | R²: 0.08606 [0.07303, 0.09909] Incremental R2 (full-covars): -0.00106 PGS R2 (no covariates): 0.00083 [-0.00057, 0.00223] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007684 | PSS004842| East Asian Ancestry| 1,557 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Bread intake | — | — | R²: 0.04803 [0.02826, 0.0678] Incremental R2 (full-covars): -0.00683 PGS R2 (no covariates): 1e-05 [-0.00021, 0.00022] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007685 | PSS004843| European Ancestry| 24,277 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Bread intake | — | — | R²: 0.09076 [0.08395, 0.09756] Incremental R2 (full-covars): 0.00266 PGS R2 (no covariates): 0.0026 [0.00134, 0.00386] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007686 | PSS004844| South Asian Ancestry| 7,412 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Bread intake | — | — | R²: 0.05893 [0.04882, 0.06905] Incremental R2 (full-covars): -0.00378 PGS R2 (no covariates): 0.00041 [-0.00049, 0.0013] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007687 | PSS004845| European Ancestry| 66,112 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Bread intake | — | — | R²: 0.09655 [0.09231, 0.10079] Incremental R2 (full-covars): 0.00312 PGS R2 (no covariates): 0.0033 [0.00243, 0.00416] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS004841 | — | — | 5,979 individuals | — | African unspecified | — | UKB | — |
| PSS004842 | — | — | 1,557 individuals | — | East Asian | — | UKB | — |
| PSS004843 | — | — | 24,277 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004844 | — | — | 7,412 individuals | — | South Asian | — | UKB | — |
| PSS004845 | — | — | 66,112 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |