Predicted Trait | |
Reported Trait | Eosinophil count |
Mapped Trait(s) | eosinophil count (EFO_0004842) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30150 |
Score Construction | |
PGS Name | GBE_INI30150 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 12,579 |
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% 261,890 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 |
---|---|---|---|---|---|---|---|---|
— | 261,890 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 |
---|---|---|---|---|---|---|---|---|
PPM008570 | PSS006981| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.02165 [0.01465, 0.02865] Incremental R2 (full-covars): 0.01273 PGS R2 (no covariates): 0.01483 [0.009, 0.02067] |
age, sex, UKB array type, Genotype PCs | — |
PPM008571 | PSS006982| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.07017 [0.04683, 0.09352] Incremental R2 (full-covars): 0.02406 PGS R2 (no covariates): 0.02686 [0.01175, 0.04197] |
age, sex, UKB array type, Genotype PCs | — |
PPM008572 | PSS006983| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.10592 [0.09869, 0.11315] Incremental R2 (full-covars): 0.08944 PGS R2 (no covariates): 0.0939 [0.08701, 0.1008] |
age, sex, UKB array type, Genotype PCs | — |
PPM008573 | PSS006984| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.06486 [0.05432, 0.07541] Incremental R2 (full-covars): 0.05229 PGS R2 (no covariates): 0.05348 [0.04379, 0.06318] |
age, sex, UKB array type, Genotype PCs | — |
PPM008574 | PSS006985| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.10264 [0.0983, 0.10698] Incremental R2 (full-covars): 0.09343 PGS R2 (no covariates): 0.09398 [0.08978, 0.09817] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006981 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
PSS006982 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
PSS006983 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
PSS006984 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
PSS006985 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |