| Predicted Trait | |
| Reported Trait | Trunk fat mass | 
| Mapped Trait(s) | fat pad mass (OBA_0004528) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23128 | 
| Score Construction | |
| PGS Name | GBE_INI23128 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 29,233 | 
| 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% 265,008 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 | 
|---|---|---|---|---|---|---|---|---|
| — | 265,008 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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM008467 | PSS005166| African Ancestry| 6,299 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Trunk fat mass | — | — | R²: 0.07784 [0.06534, 0.09035] Incremental R2 (full-covars): 0.00763 PGS R2 (no covariates): 0.01681 [0.01061, 0.023]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008468 | PSS005167| East Asian Ancestry| 1,678 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Trunk fat mass | — | — | R²: 0.08471 [0.05946, 0.10995] Incremental R2 (full-covars): 0.02256 PGS R2 (no covariates): 0.04289 [0.0241, 0.06167]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008469 | PSS005168| European Ancestry| 24,450 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Trunk fat mass | — | — | R²: 0.12525 [0.11756, 0.13293] Incremental R2 (full-covars): 0.09644 PGS R2 (no covariates): 0.10468 [0.09748, 0.11187]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008470 | PSS005169| South Asian Ancestry| 7,646 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Trunk fat mass | — | — | R²: 0.08664 [0.07474, 0.09855] Incremental R2 (full-covars): 0.06072 PGS R2 (no covariates): 0.06279 [0.05239, 0.07318]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM008471 | PSS005170| European Ancestry| 66,220 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Trunk fat mass | — | — | R²: 0.11749 [0.11293, 0.12206] Incremental R2 (full-covars): 0.1078 PGS R2 (no covariates): 0.10871 [0.10428, 0.11315]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS005166 | — | — | 6,299 individuals | — | African unspecified | — | UKB | — | 
| PSS005167 | — | — | 1,678 individuals | — | East Asian | — | UKB | — | 
| PSS005168 | — | — | 24,450 individuals | — | European | non-white British ancestry | UKB | — | 
| PSS005169 | — | — | 7,646 individuals | — | South Asian | — | UKB | — | 
| PSS005170 | — | — | 66,220 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |