| Predicted Trait | |
| Reported Trait | Polycythemia vera | 
| Mapped Trait(s) | polycythemia vera (EFO_0002429) | 
| Additional Trait Information | neoplasms | 
| Score Construction | |
| PGS Name | portability-PLR_200.1 | 
| Development Method | |
| Name | Penalized regression (bigstatsr) | 
| Parameters | HapMap3 variants | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 67 | 
| Effect Weight Type | beta | 
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000263 | 
| Citation (link to publication) | Privé F et al. Am J Hum Genet (2022) | 
| Ancestry Distribution | |
| Score Development/Training | European: 100% 391,124 individuals (100%)  | 
| PGS Evaluation | European: 50% East Asian: 16.7% Greater Middle Eastern: 16.7% South Asian: 16.7% 6 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 | 
|---|---|---|---|---|---|---|---|---|
| — | 391,124 individuals | European | UKB | — | — | — | UK (+ Ireland) | — | 
| 
                          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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM009382 | PSS009280| European Ancestry| 19,539 individuals  | 
                        
                            PGP000263 | Privé F et al. Am J Hum Genet (2022)  | 
                        
                            Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.017 [0.003, 0.031] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM009383 | PSS009054| European Ancestry| 4,052 individuals  | 
                        
                            PGP000263 | Privé F et al. Am J Hum Genet (2022)  | 
                        
                            Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.0195 [-0.0114, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM009384 | PSS008608| European Ancestry| 6,489 individuals  | 
                        
                            PGP000263 | Privé F et al. Am J Hum Genet (2022)  | 
                        
                            Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): 0.026 [0.0016, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM009385 | PSS008384| Greater Middle Eastern Ancestry| 1,178 individuals  | 
                        
                            PGP000263 | Privé F et al. Am J Hum Genet (2022)  | 
                        
                            Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0173 [-0.0748, 0.0404] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM009386 | PSS008162| South Asian Ancestry| 6,171 individuals  | 
                        
                            PGP000263 | Privé F et al. Am J Hum Genet (2022)  | 
                        
                            Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0038 [-0.0288, 0.0212] | sex, age, birth date, deprivation index, 16 PCs | — | 
| PPM009387 | PSS007949| East Asian Ancestry| 1,787 individuals  | 
                        
                            PGP000263 | Privé F et al. Am J Hum Genet (2022)  | 
                        
                            Reported Trait: Polycythemia vera | — | — | Partial Correlation (partial-r): -0.0072 [-0.0538, 0.0395] | sex, age, birth date, deprivation index, 16 PCs | — | 
| 
                          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 | 
|---|---|---|---|---|---|---|---|---|
| PSS007949 | — | — | 1,787 individuals | — | East Asian | China (East Asia) | UKB | — | 
| PSS009280 | — | — | 19,539 individuals | — | European | UK (+ Ireland) | UKB | — | 
| PSS009054 | — | — | 4,052 individuals | — | European | Poland (NE Europe) | UKB | — | 
| PSS008608 | — | — | 6,489 individuals | — | European | Italy (South Europe) | UKB | — | 
| PSS008384 | — | — | 1,178 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — | 
| PSS008162 | — | — | 6,171 individuals | — | South Asian | India (South Asia) | UKB | — |