| Predicted Trait | |
| Reported Trait | Vitamin B12 deficiency induced anemia (time-to-event) | 
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC608 | 
| Score Construction | |
| PGS Name | GBE_HC608 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 121 | 
| 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% 269,704 individuals (100%)  | 
| PGS Evaluation | European: 50% African: 25% South Asian: 25% 4 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 | 
|---|---|---|---|---|---|---|---|---|
| — | [ 
  | 
                        
                            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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM009020 | PSS004536| African Ancestry| 6,497 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.66063 [0.54547, 0.77579] | R²: 0.02699 Incremental AUROC (full-covars): 0.01762 PGS R2 (no covariates): 0.00536 PGS AUROC (no covariates): 0.5839 [0.43974, 0.72805]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009021 | PSS004538| European Ancestry| 24,905 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.65118 [0.60827, 0.69409] | R²: 0.02729 Incremental AUROC (full-covars): 0.02555 PGS R2 (no covariates): 0.00865 PGS AUROC (no covariates): 0.59612 [0.5552, 0.63704]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009022 | PSS004539| South Asian Ancestry| 7,831 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.72387 [0.6834, 0.76434] | R²: 0.06747 Incremental AUROC (full-covars): 0.01252 PGS R2 (no covariates): 0.00966 PGS AUROC (no covariates): 0.57469 [0.52685, 0.62252]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009023 | PSS004540| European Ancestry| 67,425 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.64482 [0.61972, 0.66993] | R²: 0.02374 Incremental AUROC (full-covars): 0.02212 PGS R2 (no covariates): 0.0068 PGS AUROC (no covariates): 0.57972 [0.55331, 0.60612]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| 
                          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 | 
|---|---|---|---|---|---|---|---|---|
| PSS004540 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) | 
| PSS004536 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS004538 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS004539 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — |