| Predicted Trait | |
| Reported Trait | Mean reticulocyte volume |
| Mapped Trait(s) | mean reticulocyte volume (EFO_0010701) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30260 |
| Score Construction | |
| PGS Name | GBE_INI30260 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 13,277 |
| 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% 258,297 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 |
|---|---|---|---|---|---|---|---|---|
| — | 258,297 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 |
|---|---|---|---|---|---|---|---|---|
| PPM007703 | PSS007026| African Ancestry| 5,973 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean reticulocyte volume | — | — | R²: 0.03718 [0.02815, 0.0462] Incremental R2 (full-covars): 0.02777 PGS R2 (no covariates): 0.02867 [0.02068, 0.03667] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007704 | PSS007027| East Asian Ancestry| 1,623 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean reticulocyte volume | — | — | R²: 0.08812 [0.06247, 0.11377] Incremental R2 (full-covars): 0.07173 PGS R2 (no covariates): 0.07447 [0.05053, 0.0984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007705 | PSS007028| European Ancestry| 23,687 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean reticulocyte volume | — | — | R²: 0.1616 [0.15323, 0.16997] Incremental R2 (full-covars): 0.14435 PGS R2 (no covariates): 0.1455 [0.1374, 0.15359] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007706 | PSS007029| South Asian Ancestry| 7,323 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean reticulocyte volume | — | — | R²: 0.13294 [0.11894, 0.14694] Incremental R2 (full-covars): 0.09343 PGS R2 (no covariates): 0.09786 [0.08537, 0.11036] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007707 | PSS007030| European Ancestry| 64,570 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean reticulocyte volume | — | — | R²: 0.15675 [0.15171, 0.16179] Incremental R2 (full-covars): 0.14554 PGS R2 (no covariates): 0.14631 [0.14138, 0.15124] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS007026 | — | — | 5,973 individuals | — | African unspecified | — | UKB | — |
| PSS007027 | — | — | 1,623 individuals | — | East Asian | — | UKB | — |
| PSS007028 | — | — | 23,687 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007029 | — | — | 7,323 individuals | — | South Asian | — | UKB | — |
| PSS007030 | — | — | 64,570 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |