| Predicted Trait | |
| Reported Trait | Allergic disease (hay fever, rhinitis or eczema) | 
| Mapped Trait(s) | allergic disease (MONDO_0005271) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI3761 | 
| Score Construction | |
| PGS Name | GBE_INI3761 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 993 | 
| 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% 55,834 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 | 
|---|---|---|---|---|---|---|---|---|
| — | 55,834 individuals | 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM008917 | PSS007255| European Ancestry| 13,999 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.11512 [0.11059, 0.11965] Incremental R2 (full-covars): 0.01247 PGS R2 (no covariates): 0.0125 [0.01084, 0.01417]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008913 | PSS007251| African Ancestry| 1,401 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.14854 [0.13259, 0.16449] Incremental R2 (full-covars): -0.0075 PGS R2 (no covariates): 0.00033 [-0.00055, 0.0012]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008914 | PSS007252| East Asian Ancestry| 592 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.08793 [0.0623, 0.11356] Incremental R2 (full-covars): 0.01315 PGS R2 (no covariates): 0.01568 [0.004, 0.02736]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008915 | PSS007253| European Ancestry| 5,147 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.11614 [0.10866, 0.12362] Incremental R2 (full-covars): 0.01049 PGS R2 (no covariates): 0.01087 [0.00831, 0.01343]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008916 | PSS007254| South Asian Ancestry| 1,451 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Age hay fever, rhinitis or eczema diagnosed | — | — | R²: 0.11629 [0.10294, 0.12963] Incremental R2 (full-covars): 0.00477 PGS R2 (no covariates): 0.00527 [0.00207, 0.00846]  | 
                        
                            age, sex, UKB array type, Genotype 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS007251 | — | — | 1,401 individuals | — | African unspecified | — | UKB | — | 
| PSS007252 | — | — | 592 individuals | — | East Asian | — | UKB | — | 
| PSS007253 | — | — | 5,147 individuals | — | European | non-white British ancestry | UKB | — | 
| PSS007254 | — | — | 1,451 individuals | — | South Asian | — | UKB | — | 
| PSS007255 | — | — | 13,999 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |