| Predicted Trait | |
| Reported Trait | Mean corpuscular volume | 
| Mapped Trait(s) | erythrocyte volume (OBA_0003460) | 
| 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) |