| Predicted Trait | |
| Reported Trait | Allergic disease (hay fever, rhinitis, or eczema) (diagnosed by doctor) | 
| Mapped Trait(s) | allergic disease (MONDO_0005271) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN_FC5006152 | 
| Score Construction | |
| PGS Name | GBE_BIN_FC5006152 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 7,313 | 
| 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% 245,788 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM008923 | PSS003979| African Ancestry| 5,863 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.61988 [0.60418, 0.63557] | R²: 0.05243 Incremental AUROC (full-covars): 0.00361 PGS R2 (no covariates): 0.00809 PGS AUROC (no covariates): 0.5435 [0.52719, 0.55982]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008924 | PSS003980| East Asian Ancestry| 1,575 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.60016 [0.57208, 0.62825] | R²: 0.04666 Incremental AUROC (full-covars): 0.00725 PGS R2 (no covariates): 0.0103 PGS AUROC (no covariates): 0.55278 [0.52414, 0.58142]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008925 | PSS003981| European Ancestry| 22,705 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.64037 [0.63223, 0.64852] | R²: 0.07055 Incremental AUROC (full-covars): 0.04919 PGS R2 (no covariates): 0.04448 PGS AUROC (no covariates): 0.61233 [0.60403, 0.62062]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008926 | PSS003982| South Asian Ancestry| 6,933 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.61 [0.59463, 0.62537] | R²: 0.03824 Incremental AUROC (full-covars): 0.05029 PGS R2 (no covariates): 0.02803 PGS AUROC (no covariates): 0.59248 [0.57698, 0.60797]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM008927 | PSS003983| European Ancestry| 61,525 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Hayfever rhinitis or eczema diagnosed by doctor | — | AUROC: 0.64412 [0.63921, 0.64903] | R²: 0.07281 Incremental AUROC (full-covars): 0.06352 PGS R2 (no covariates): 0.05108 PGS AUROC (no covariates): 0.62052 [0.61552, 0.62551]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS003979 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS003980 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS003981 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS003982 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — | 
| PSS003983 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) |