| Predicted Trait | |
| Reported Trait | Family history of high blood pressure | 
| Mapped Trait(s) | family history (EFO_0000493) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/FH1065 | 
| Score Construction | |
| PGS Name | GBE_FH1065 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 13,862 | 
| 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: 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 | 
|---|---|---|---|---|---|---|---|---|
| — | [ 
  | 
                        
                            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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM009112 | PSS004044| African Ancestry| 6,497 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: High BP (FH) | — | AUROC: 0.59339 [0.57784, 0.60894] | R²: 0.03128 Incremental AUROC (full-covars): -0.00542 PGS R2 (no covariates): 0.00353 PGS AUROC (no covariates): 0.53126 [0.51539, 0.54713]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009113 | PSS004045| East Asian Ancestry| 1,704 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: High BP (FH) | — | AUROC: 0.58604 [0.55827, 0.61382] | R²: 0.03732 Incremental AUROC (full-covars): 0.02078 PGS R2 (no covariates): 0.01267 PGS AUROC (no covariates): 0.55693 [0.52875, 0.58511]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009114 | PSS004046| European Ancestry| 24,905 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: High BP (FH) | — | AUROC: 0.58225 [0.5751, 0.5894] | R²: 0.0275 Incremental AUROC (full-covars): 0.04455 PGS R2 (no covariates): 0.02262 PGS AUROC (no covariates): 0.5748 [0.56762, 0.58198]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009115 | PSS004047| South Asian Ancestry| 7,831 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: High BP (FH) | — | AUROC: 0.59484 [0.58159, 0.6081] | R²: 0.0361 Incremental AUROC (full-covars): 0.0245 PGS R2 (no covariates): 0.01922 PGS AUROC (no covariates): 0.57095 [0.55751, 0.58438]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009116 | PSS004048| European Ancestry| 67,425 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: High BP (FH) | — | AUROC: 0.5865 [0.58217, 0.59084] | R²: 0.03045 Incremental AUROC (full-covars): 0.06315 PGS R2 (no covariates): 0.0284 PGS AUROC (no covariates): 0.58323 [0.57889, 0.58758]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS004044 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS004045 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS004046 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS004047 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — | 
| PSS004048 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) |