| Predicted Trait | |
| Reported Trait | Melanoma (malignant) | 
| Mapped Trait(s) | melanoma (EFO_0000756) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/cancer1059 | 
| Score Construction | |
| PGS Name | GBE_cancer1059 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 116 | 
| 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM009015 | PSS007646| African Ancestry| 6,497 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Malignant melanoma | — | AUROC: 0.87614 [0.73822, 1.0] | R²: 0.05368 Incremental AUROC (full-covars): -0.02217 PGS R2 (no covariates): 0.03909 PGS AUROC (no covariates): 0.20593 [0.13426, 0.2776]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009016 | PSS007647| East Asian Ancestry| 1,704 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Malignant melanoma | — | AUROC: 0.93529 [0.8865, 0.98409] | R²: 0.24041 Incremental AUROC (full-covars): 0.005 PGS R2 (no covariates): 0.06103 PGS AUROC (no covariates): 0.75412 [0.53449, 0.97374]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009017 | PSS007648| European Ancestry| 24,905 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Malignant melanoma | — | AUROC: 0.63893 [0.6107, 0.66716] | R²: 0.02462 Incremental AUROC (full-covars): 0.02384 PGS R2 (no covariates): 0.01149 PGS AUROC (no covariates): 0.5909 [0.56008, 0.62173]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009018 | PSS007649| South Asian Ancestry| 7,831 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Malignant melanoma | — | AUROC: 0.81762 [0.60963, 1.0] | R²: 0.07256 Incremental AUROC (full-covars): 0.03083 PGS R2 (no covariates): 0.04901 PGS AUROC (no covariates): 0.74493 [0.36901, 1.0]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009019 | PSS007650| European Ancestry| 67,425 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Malignant melanoma | — | AUROC: 0.60362 [0.58554, 0.6217] | R²: 0.01348 Incremental AUROC (full-covars): 0.0279 PGS R2 (no covariates): 0.00707 PGS AUROC (no covariates): 0.57206 [0.55302, 0.5911]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS007646 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS007647 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS007648 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS007649 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — | 
| PSS007650 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) |