Predicted Trait | |
Reported Trait | Mean corpuscular volume |
Mapped Trait(s) | mean corpuscular volume (EFO_0004526) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30040 |
Score Construction | |
PGS Name | GBE_INI30040 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 17,311 |
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% 262,324 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 |
---|---|---|---|---|---|---|---|---|
— | 262,324 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 |
---|---|---|---|---|---|---|---|---|
PPM008634 | PSS006926| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.03909 [0.02986, 0.04833] Incremental R2 (full-covars): 0.01317 PGS R2 (no covariates): 0.01523 [0.00932, 0.02114] |
age, sex, UKB array type, Genotype PCs | — |
PPM008635 | PSS006927| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.09134 [0.06532, 0.11737] Incremental R2 (full-covars): 0.03736 PGS R2 (no covariates): 0.05987 [0.03807, 0.08167] |
age, sex, UKB array type, Genotype PCs | — |
PPM008636 | PSS006928| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.20688 [0.19792, 0.21584] Incremental R2 (full-covars): 0.15861 PGS R2 (no covariates): 0.17414 [0.16558, 0.1827] |
age, sex, UKB array type, Genotype PCs | — |
PPM008637 | PSS006929| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.12834 [0.11451, 0.14216] Incremental R2 (full-covars): 0.07837 PGS R2 (no covariates): 0.08395 [0.0722, 0.0957] |
age, sex, UKB array type, Genotype PCs | — |
PPM008638 | PSS006930| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.21614 [0.21064, 0.22164] Incremental R2 (full-covars): 0.19948 PGS R2 (no covariates): 0.20189 [0.19648, 0.2073] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006926 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
PSS006927 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
PSS006928 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
PSS006929 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
PSS006930 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |