| Predicted Trait | |
| Reported Trait | Gallstones | 
| Mapped Trait(s) | gallstones (EFO_0004210) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC188 | 
| Score Construction | |
| PGS Name | GBE_HC188 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 876 | 
| 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM008785 | PSS004334| African Ancestry| 6,497 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Gallstones | — | AUROC: 0.68692 [0.64329, 0.73056] | R²: 0.04974 Incremental AUROC (full-covars): 0.02029 PGS R2 (no covariates): 0.00785 PGS AUROC (no covariates): 0.56814 [0.51821, 0.61807]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008786 | PSS004335| East Asian Ancestry| 1,704 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Gallstones | — | AUROC: 0.67793 [0.60585, 0.75001] | R²: 0.06195 Incremental AUROC (full-covars): 0.00834 PGS R2 (no covariates): 0.00064 PGS AUROC (no covariates): 0.52583 [0.44852, 0.60314]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008787 | PSS004336| European Ancestry| 24,905 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Gallstones | — | AUROC: 0.66809 [0.65163, 0.68454] | R²: 0.05165 Incremental AUROC (full-covars): 0.04397 PGS R2 (no covariates): 0.0275 PGS AUROC (no covariates): 0.62496 [0.60759, 0.64234]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008788 | PSS004337| South Asian Ancestry| 7,831 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Gallstones | — | AUROC: 0.68743 [0.65645, 0.71841] | R²: 0.0581 Incremental AUROC (full-covars): 0.01295 PGS R2 (no covariates): 0.00775 PGS AUROC (no covariates): 0.56733 [0.53369, 0.60096]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008789 | PSS004338| European Ancestry| 67,425 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Gallstones | — | AUROC: 0.67227 [0.66315, 0.68138] | R²: 0.05484 Incremental AUROC (full-covars): 0.04156 PGS R2 (no covariates): 0.02494 PGS AUROC (no covariates): 0.6171 [0.6073, 0.6269]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS004334 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS004335 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS004336 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS004337 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — | 
| PSS004338 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) |