| Predicted Trait | |
| Reported Trait | Lung function (FEV1) | 
| Mapped Trait(s) | forced expiratory volume (EFO_0004314) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI3063 | 
| Score Construction | |
| PGS Name | GBE_INI3063 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 17,732 | 
| 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% 247,832 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 | 
|---|---|---|---|---|---|---|---|---|
| — | 247,832 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM008689 | PSS007091| African Ancestry| 5,865 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: FEV1 | — | — | R²: 0.37563 [0.35703, 0.39423] Incremental R2 (full-covars): -0.00395 PGS R2 (no covariates): 0.00371 [0.00076, 0.00666]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008690 | PSS007092| East Asian Ancestry| 1,590 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: FEV1 | — | — | R²: 0.48044 [0.44632, 0.51457] Incremental R2 (full-covars): 0.01654 PGS R2 (no covariates): 0.03258 [0.01603, 0.04912]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008691 | PSS007093| European Ancestry| 22,831 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: FEV1 | — | — | R²: 0.5167 [0.50807, 0.52533] Incremental R2 (full-covars): 0.0401 PGS R2 (no covariates): 0.04225 [0.03736, 0.04714]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008692 | PSS007094| South Asian Ancestry| 7,147 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: FEV1 | — | — | R²: 0.46546 [0.44931, 0.4816] Incremental R2 (full-covars): 0.01517 PGS R2 (no covariates): 0.0239 [0.01722, 0.03059]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008693 | PSS007095| European Ancestry| 62,090 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: FEV1 | — | — | R²: 0.51484 [0.50958, 0.52009] Incremental R2 (full-covars): 0.04356 PGS R2 (no covariates): 0.04413 [0.0411, 0.04716]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS007091 | — | — | 5,865 individuals | — | African unspecified | — | UKB | — | 
| PSS007092 | — | — | 1,590 individuals | — | East Asian | — | UKB | — | 
| PSS007093 | — | — | 22,831 individuals | — | European | non-white British ancestry | UKB | — | 
| PSS007094 | — | — | 7,147 individuals | — | South Asian | — | UKB | — | 
| PSS007095 | — | — | 62,090 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |