Predicted Trait | |
Reported Trait | Percentage of hematocrit |
Mapped Trait(s) | hematocrit (EFO_0004348) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30030 |
Score Construction | |
PGS Name | GBE_INI30030 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 15,721 |
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% 262,325 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 |
---|---|---|---|---|---|---|---|---|
— | 262,325 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 |
---|---|---|---|---|---|---|---|---|
PPM008639 | PSS006921| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haematocrit % | — | — | Incremental R2 (full-covars): 0.01035 R²: 0.39181 [0.37331, 0.41032] PGS R2 (no covariates): 0.01326 [0.00774, 0.01879] |
age, sex, UKB array type, Genotype PCs | — |
PPM008640 | PSS006922| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haematocrit % | — | — | R²: 0.4128 [0.37705, 0.44856] Incremental R2 (full-covars): 0.02196 PGS R2 (no covariates): 0.02063 [0.0073, 0.03396] |
age, sex, UKB array type, Genotype PCs | — |
PPM008641 | PSS006923| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haematocrit % | — | — | R²: 0.396 [0.38656, 0.40544] Incremental R2 (full-covars): 0.05878 PGS R2 (no covariates): 0.06263 [0.0568, 0.06846] |
age, sex, UKB array type, Genotype PCs | — |
PPM008642 | PSS006924| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haematocrit % | — | — | R²: 0.4249 [0.4083, 0.4415] Incremental R2 (full-covars): 0.02482 PGS R2 (no covariates): 0.0222 [0.01575, 0.02865] |
age, sex, UKB array type, Genotype PCs | — |
PPM008643 | PSS006925| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haematocrit % | — | — | R²: 0.39123 [0.38548, 0.39698] Incremental R2 (full-covars): 0.06504 PGS R2 (no covariates): 0.06544 [0.06183, 0.06904] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006921 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
PSS006922 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
PSS006923 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
PSS006924 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
PSS006925 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |