| Predicted Trait | |
| Reported Trait | Portion size |
| Mapped Trait(s) | diet measurement (EFO_0008111) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI100010 |
| Score Construction | |
| PGS Name | GBE_INI100010 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 591 |
| 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% 116,930 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 |
|---|---|---|---|---|---|---|---|---|
| — | 116,930 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 |
|---|---|---|---|---|---|---|---|---|
| PPM005225 | PSS004766| African Ancestry| 2,091 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Portion size | — | — | R²: 0.02984 [0.02169, 0.03798] Incremental R2 (full-covars): 0.00275 PGS R2 (no covariates): 0.00229 [-0.00003, 0.00461] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005226 | PSS004767| East Asian Ancestry| 613 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Portion size | — | — | R²: 0.08303 [0.05799, 0.10806] Incremental R2 (full-covars): 0.00287 PGS R2 (no covariates): 0.00511 [-0.00163, 0.01184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005227 | PSS004768| European Ancestry| 11,475 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Portion size | — | — | R²: 0.05028 [0.04499, 0.05557] Incremental R2 (full-covars): 0.00227 PGS R2 (no covariates): 0.00184 [0.00078, 0.0029] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005228 | PSS004769| South Asian Ancestry| 2,331 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Portion size | — | — | R²: 0.02167 [0.01529, 0.02805] Incremental R2 (full-covars): -0.00034 PGS R2 (no covariates): 0.00013 [-0.00038, 0.00064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005229 | PSS004770| European Ancestry| 29,044 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Portion size | — | — | R²: 0.05298 [0.04969, 0.05627] Incremental R2 (full-covars): 0.00155 PGS R2 (no covariates): 0.00164 [0.00103, 0.00226] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS004766 | — | — | 2,091 individuals | — | African unspecified | — | UKB | — |
| PSS004767 | — | — | 613 individuals | — | East Asian | — | UKB | — |
| PSS004768 | — | — | 11,475 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004769 | — | — | 2,331 individuals | — | South Asian | — | UKB | — |
| PSS004770 | — | — | 29,044 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |