| Predicted Trait | |
| Reported Trait | Neutrophil count |
| Mapped Trait(s) | neutrophil count (EFO_0004833) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30140 |
| Score Construction | |
| PGS Name | GBE_INI30140 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 15,578 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM008575 | PSS006976| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.06347 [0.052, 0.07494] Incremental R2 (full-covars): 0.00644 PGS R2 (no covariates): 0.01221 [0.00691, 0.01752] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008576 | PSS006977| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.05754 [0.03611, 0.07896] Incremental R2 (full-covars): 0.037 PGS R2 (no covariates): 0.0354 [0.0182, 0.0526] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008577 | PSS006978| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.08794 [0.08123, 0.09466] Incremental R2 (full-covars): 0.07899 PGS R2 (no covariates): 0.08282 [0.07627, 0.08938] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008578 | PSS006979| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.07553 [0.06428, 0.08677] Incremental R2 (full-covars): 0.0671 PGS R2 (no covariates): 0.06762 [0.05688, 0.07835] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008579 | PSS006980| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.09385 [0.08966, 0.09804] Incremental R2 (full-covars): 0.08871 PGS R2 (no covariates): 0.08935 [0.08524, 0.09346] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006976 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006977 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006978 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006979 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006980 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |