Predicted Trait | |
Reported Trait | Dried fruit intake |
Mapped Trait(s) | diet measurement (EFO_0008111) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1319 |
Score Construction | |
PGS Name | GBE_INI1319 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 989 |
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% 248,701 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 |
---|---|---|---|---|---|---|---|---|
— | 248,701 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 |
---|---|---|---|---|---|---|---|---|
PPM005240 | PSS004821| African Ancestry| 5,684 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dried fruit intake | — | — | R²: 0.00681 [0.00283, 0.0108] Incremental R2 (full-covars): -0.00044 PGS R2 (no covariates): 1e-05 [-0.00017, 0.0002] |
age, sex, UKB array type, Genotype PCs | — |
PPM005241 | PSS004822| East Asian Ancestry| 1,402 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dried fruit intake | — | — | R²: 0.02296 [0.00893, 0.03699] Incremental R2 (full-covars): 0.00042 PGS R2 (no covariates): 0.00045 [-0.00156, 0.00245] |
age, sex, UKB array type, Genotype PCs | — |
PPM005242 | PSS004823| European Ancestry| 22,608 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dried fruit intake | — | — | R²: 0.0347 [0.03024, 0.03917] Incremental R2 (full-covars): 0.00018 PGS R2 (no covariates): 0.00038 [-0.00011, 0.00086] |
age, sex, UKB array type, Genotype PCs | — |
PPM005243 | PSS004824| South Asian Ancestry| 6,844 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dried fruit intake | — | — | R²: 0.01593 [0.01043, 0.02143] Incremental R2 (full-covars): -1e-05 PGS R2 (no covariates): 4e-05 [-0.00024, 0.00032] |
age, sex, UKB array type, Genotype PCs | — |
PPM005244 | PSS004825| European Ancestry| 62,203 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Dried fruit intake | — | — | R²: 0.0166 [0.01469, 0.01852] Incremental R2 (full-covars): 0.00087 PGS R2 (no covariates): 0.00107 [0.00058, 0.00157] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004821 | — | — | 5,684 individuals | — | African unspecified | — | UKB | — |
PSS004822 | — | — | 1,402 individuals | — | East Asian | — | UKB | — |
PSS004823 | — | — | 22,608 individuals | — | European | non-white British ancestry | UKB | — |
PSS004824 | — | — | 6,844 individuals | — | South Asian | — | UKB | — |
PSS004825 | — | — | 62,203 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |