| Predicted Trait | |
| Reported Trait | Haemoglobin concentration |
| Mapped Trait(s) | hemoglobin measurement (EFO_0004509) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30020 |
| Score Construction | |
| PGS Name | GBE_INI30020 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 15,602 |
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|
| PPM007035 | PSS006901| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.38602 [0.36748, 0.40456] Incremental R2 (full-covars): 0.00491 PGS R2 (no covariates): 0.01221 [0.00691, 0.01752] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007036 | PSS006902| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.40783 [0.37199, 0.44367] Incremental R2 (full-covars): 0.02084 PGS R2 (no covariates): 0.01558 [0.00394, 0.02723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007037 | PSS006903| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.43532 [0.42607, 0.44457] Incremental R2 (full-covars): 0.06361 PGS R2 (no covariates): 0.06382 [0.05795, 0.06969] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007038 | PSS006904| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.4337 [0.41719, 0.45022] Incremental R2 (full-covars): 0.02482 PGS R2 (no covariates): 0.01823 [0.01236, 0.0241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007039 | PSS006905| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.42918 [0.42353, 0.43482] Incremental R2 (full-covars): 0.06776 PGS R2 (no covariates): 0.06681 [0.06316, 0.07045] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006901 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006902 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006903 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006904 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006905 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |