Predicted Trait | |
Reported Trait | Age hayfever or allergic rhinitis diagnosed by doctor |
Mapped Trait(s) | allergic disease (MONDO_0005271) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI22146 |
Score Construction | |
PGS Name | GBE_INI22146 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 255 |
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% 15,686 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 |
---|---|---|---|---|---|---|---|---|
— | 15,686 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 |
---|---|---|---|---|---|---|---|---|
PPM005290 | PSS004956| African Ancestry| 170 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.13957 [0.12394, 0.15519] Incremental R2 (full-covars): -0.01335 PGS R2 (no covariates): 0.00276 [0.00021, 0.00531] |
age, sex, UKB array type, Genotype PCs | — |
PPM005291 | PSS004957| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.0439 [0.02492, 0.06289] Incremental R2 (full-covars): -0.00185 PGS R2 (no covariates): 0.00016 [-0.00104, 0.00135] |
age, sex, UKB array type, Genotype PCs | — |
PPM005292 | PSS004958| European Ancestry| 1,421 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.098 [0.09099, 0.10502] Incremental R2 (full-covars): 0.00684 PGS R2 (no covariates): 0.00657 [0.00457, 0.00857] |
age, sex, UKB array type, Genotype PCs | — |
PPM005293 | PSS004959| South Asian Ancestry| 187 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.20226 [0.18637, 0.21814] Incremental R2 (full-covars): 0.01767 PGS R2 (no covariates): 0.01185 [0.00708, 0.01661] |
age, sex, UKB array type, Genotype PCs | — |
PPM005294 | PSS004960| European Ancestry| 3,857 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age hayfever or allergic rhinitis diagnosed by doctor | — | — | R²: 0.08334 [0.07935, 0.08734] Incremental R2 (full-covars): 0.00599 PGS R2 (no covariates): 0.00511 [0.00404, 0.00619] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004956 | — | — | 170 individuals | — | African unspecified | — | UKB | — |
PSS004957 | — | — | 106 individuals | — | East Asian | — | UKB | — |
PSS004958 | — | — | 1,421 individuals | — | European | non-white British ancestry | UKB | — |
PSS004959 | — | — | 187 individuals | — | South Asian | — | UKB | — |
PSS004960 | — | — | 3,857 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |