| Predicted Trait | |
| Reported Trait | Family history of breast cancer | 
| Mapped Trait(s) | family history of breast cancer (EFO_0005606) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/FH1002 | 
| Score Construction | |
| PGS Name | GBE_FH1002 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 195 | 
| 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM009171 | PSS004034| African Ancestry| 6,497 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Breast cancer (FH) | — | AUROC: 0.57882 [0.5595, 0.59814] | R²: 0.01774 Incremental AUROC (full-covars): 0.00262 PGS R2 (no covariates): 0.00016 PGS AUROC (no covariates): 0.50866 [0.48823, 0.52909]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009172 | PSS004035| East Asian Ancestry| 1,704 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Breast cancer (FH) | — | AUROC: 0.60865 [0.56929, 0.64801] | R²: 0.03344 Incremental AUROC (full-covars): 0.01456 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.56734 [0.52563, 0.60905]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009173 | PSS004036| European Ancestry| 24,905 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Breast cancer (FH) | — | AUROC: 0.57917 [0.56994, 0.5884] | R²: 0.01887 Incremental AUROC (full-covars): 0.00313 PGS R2 (no covariates): 0.002 PGS AUROC (no covariates): 0.52353 [0.51419, 0.53286]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009174 | PSS004037| South Asian Ancestry| 7,831 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Breast cancer (FH) | — | AUROC: 0.60464 [0.58531, 0.62397] | R²: 0.02766 Incremental AUROC (full-covars): 0.00261 PGS R2 (no covariates): 0.00157 PGS AUROC (no covariates): 0.52221 [0.5025, 0.54191]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009175 | PSS004038| European Ancestry| 67,425 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Breast cancer (FH) | — | AUROC: 0.57389 [0.56837, 0.57941] | R²: 0.01618 Incremental AUROC (full-covars): 0.00514 PGS R2 (no covariates): 0.0022 PGS AUROC (no covariates): 0.527 [0.52143, 0.53258]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS004034 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS004035 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS004036 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS004037 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — | 
| PSS004038 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) |