Predicted Trait | |
Reported Trait | Lymphocyte count |
Mapped Trait(s) | lymphocyte count (EFO_0004587) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30120 |
Score Construction | |
PGS Name | GBE_INI30120 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 4,212 |
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 |
---|---|---|---|---|---|---|---|---|
PPM008616 | PSS006968| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.04047 [0.03568, 0.04526] Incremental R2 (full-covars): 0.03437 PGS R2 (no covariates): 0.03502 [0.03053, 0.0395] |
age, sex, UKB array type, Genotype PCs | — |
PPM008614 | PSS006966| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.01509 [0.00921, 0.02097] Incremental R2 (full-covars): 0.0048 PGS R2 (no covariates): 0.00655 [0.00264, 0.01046] |
age, sex, UKB array type, Genotype PCs | — |
PPM008615 | PSS006967| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.07751 [0.05317, 0.10185] Incremental R2 (full-covars): 0.02783 PGS R2 (no covariates): 0.0308 [0.01468, 0.04692] |
age, sex, UKB array type, Genotype PCs | — |
PPM008617 | PSS006969| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.04041 [0.03187, 0.04896] Incremental R2 (full-covars): 0.02891 PGS R2 (no covariates): 0.02928 [0.02192, 0.03663] |
age, sex, UKB array type, Genotype PCs | — |
PPM008618 | PSS006970| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.02566 [0.0233, 0.02801] Incremental R2 (full-covars): 0.02051 PGS R2 (no covariates): 0.02072 [0.01859, 0.02285] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006966 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
PSS006967 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
PSS006968 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
PSS006969 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
PSS006970 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |