Predicted Trait | |
Reported Trait | Reticulocyte count |
Mapped Trait(s) | reticulocyte count (EFO_0007986) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30250 |
Score Construction | |
PGS Name | GBE_INI30250 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 6,262 |
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 | Training + validation cohort (train_val) |
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 |
---|---|---|---|---|---|---|---|---|
PPM007061 | PSS007022| East Asian Ancestry| 1,623 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Reticulocyte count | — | — | R²: 0.07592 [0.05179, 0.10005] Incremental R2 (full-covars): 0.04581 PGS R2 (no covariates): 0.04535 [0.02608, 0.06461] |
age, sex, UKB array type, Genotype PCs | — |
PPM007062 | PSS007023| European Ancestry| 23,688 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Reticulocyte count | — | — | R²: 0.04398 [0.039, 0.04896] Incremental R2 (full-covars): 0.0298 PGS R2 (no covariates): 0.03007 [0.02589, 0.03425] |
age, sex, UKB array type, Genotype PCs | — |
PPM007063 | PSS007024| South Asian Ancestry| 7,323 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Reticulocyte count | — | — | R²: 0.05148 [0.04195, 0.06101] Incremental R2 (full-covars): 0.03077 PGS R2 (no covariates): 0.03212 [0.02444, 0.0398] |
age, sex, UKB array type, Genotype PCs | — |
PPM007060 | PSS007021| African Ancestry| 5,974 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Reticulocyte count | — | — | R²: 0.03089 [0.02261, 0.03917] Incremental R2 (full-covars): 0.01205 PGS R2 (no covariates): 0.01388 [0.00823, 0.01953] |
age, sex, UKB array type, Genotype PCs | — |
PPM007064 | PSS007025| European Ancestry| 64,570 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Reticulocyte count | — | — | R²: 0.0518 [0.04854, 0.05506] Incremental R2 (full-covars): 0.03968 PGS R2 (no covariates): 0.03966 [0.03677, 0.04254] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007021 | — | — | 5,974 individuals | — | African unspecified | — | UKB | — |
PSS007022 | — | — | 1,623 individuals | — | East Asian | — | UKB | — |
PSS007023 | — | — | 23,688 individuals | — | European | non-white British ancestry | UKB | — |
PSS007024 | — | — | 7,323 individuals | — | South Asian | — | UKB | — |
PSS007025 | — | — | 64,570 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |