| Predicted Trait | |
| Reported Trait | Paracetamol use self-reported | 
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN_FC9006154 | 
| Score Construction | |
| PGS Name | GBE_BIN_FC9006154 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 4,673 | 
| 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% 209,995 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM008313 | PSS004024| African Ancestry| 5,085 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Paracetamol use self-reported | — | AUROC: 0.61918 [0.60368, 0.63468] | R²: 0.05618 Incremental AUROC (full-covars): -0.00248 PGS R2 (no covariates): 0.00088 PGS AUROC (no covariates): 0.514 [0.49793, 0.53008]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008314 | PSS004025| East Asian Ancestry| 1,387 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Paracetamol use self-reported | — | AUROC: 0.66023 [0.62475, 0.6957] | R²: 0.10401 Incremental AUROC (full-covars): 0.00543 PGS R2 (no covariates): 0.00338 PGS AUROC (no covariates): 0.53113 [0.49267, 0.56958]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008315 | PSS004026| European Ancestry| 19,451 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Paracetamol use self-reported | — | AUROC: 0.58754 [0.57874, 0.59635] | R²: 0.02785 Incremental AUROC (full-covars): 0.01048 PGS R2 (no covariates): 0.0066 PGS AUROC (no covariates): 0.54192 [0.53304, 0.5508]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008316 | PSS004027| South Asian Ancestry| 5,818 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Paracetamol use self-reported | — | AUROC: 0.62877 [0.61375, 0.6438] | R²: 0.06084 Incremental AUROC (full-covars): 0.00451 PGS R2 (no covariates): 0.0045 PGS AUROC (no covariates): 0.53799 [0.52235, 0.55363]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008317 | PSS004028| European Ancestry| 52,582 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Paracetamol use self-reported | — | AUROC: 0.60087 [0.59559, 0.60615] | R²: 0.03601 Incremental AUROC (full-covars): 0.01595 PGS R2 (no covariates): 0.01072 PGS AUROC (no covariates): 0.55514 [0.54977, 0.56051]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS004028 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) | 
| PSS004024 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS004025 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS004026 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS004027 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — |