Predicted Trait | |
Reported Trait | Mean corpuscular hemoglobin |
Mapped Trait(s) | mean corpuscular hemoglobin (EFO_0004527) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30050 |
Score Construction | |
PGS Name | GBE_INI30050 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 13,003 |
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% 262,321 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 |
---|---|---|---|---|---|---|---|---|
— | 262,321 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 |
---|---|---|---|---|---|---|---|---|
PPM008629 | PSS006931| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin | — | — | R²: 0.03354 [0.02494, 0.04215] Incremental R2 (full-covars): 0.00833 PGS R2 (no covariates): 0.01254 [0.00717, 0.01792] |
age, sex, UKB array type, Genotype PCs | — |
PPM008630 | PSS006932| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin | — | — | R²: 0.0892 [0.06342, 0.11498] Incremental R2 (full-covars): 0.03143 PGS R2 (no covariates): 0.0524 [0.03184, 0.07296] |
age, sex, UKB array type, Genotype PCs | — |
PPM008631 | PSS006933| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin | — | — | R²: 0.16096 [0.1526, 0.16932] Incremental R2 (full-covars): 0.12049 PGS R2 (no covariates): 0.13012 [0.12233, 0.13791] |
age, sex, UKB array type, Genotype PCs | — |
PPM008632 | PSS006934| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin | — | — | R²: 0.11958 [0.1061, 0.13306] Incremental R2 (full-covars): 0.06684 PGS R2 (no covariates): 0.07101 [0.06005, 0.08197] |
age, sex, UKB array type, Genotype PCs | — |
PPM008633 | PSS006935| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin | — | — | R²: 0.18797 [0.18266, 0.19328] Incremental R2 (full-covars): 0.1678 PGS R2 (no covariates): 0.1703 [0.16513, 0.17547] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006931 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
PSS006932 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
PSS006933 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
PSS006934 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
PSS006935 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |