| Predicted Trait | |
| Reported Trait | Non-albumin protein [g/L] | 
| Mapped Trait(s) | level of serum globulin type protein (OBA_2045206) | 
| Score Construction | |
| PGS Name | snpnet.Non_albumin_protein | 
| Development Method | |
| Name | snpnet | 
| Parameters | 1,080,968 variants as input (directly genotyped variants, imputed HLA allelotypes, and CNVs) | 
| Variants | |
| Original Genome Build | hg19 | 
| Number of Variants | 18,670 | 
| Effect Weight Type | beta | 
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000128 | 
| Citation (link to publication) | Sinnott-Armstrong N et al. Nat Genet (2021) | 
| Ancestry Distribution | |
| Score Development/Training | European: 100% 255,256 individuals (100%)  | 
| PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 10 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 | 
|---|---|---|---|---|---|---|---|---|
Europe PMC: 10.1038/s41588-020-00757-z  | 
                        
                            223,327 individuals | European (British)  | 
                        
                            UKB | — | — | — | — | Training | 
Europe PMC: 10.1038/s41588-020-00757-z  | 
                        
                            31,929 individuals | European (British)  | 
                        
                            UKB | — | — | — | — | Validation | 
| 
                          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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM001419 | PSS000729| African Ancestry| 5,573 individuals  | 
                        
                            PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021)  | 
                        
                            Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.07146 Spearman's ρ: 0.16  | 
                        
                            Age, sex, PCs(1-40) | — | 
| PPM001454 | PSS000730| East Asian Ancestry| 984 individuals  | 
                        
                            PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021)  | 
                        
                            Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.0886 Spearman's ρ: 0.216  | 
                        
                            Age, sex, PCs(1-40) | — | 
| PPM001489 | PSS000731| European Ancestry| 21,516 individuals  | 
                        
                            PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021)  | 
                        
                            Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.12839 Spearman's ρ: 0.31  | 
                        
                            Age, sex, PCs(1-40) | — | 
| PPM001524 | PSS000732| South Asian Ancestry| 6,687 individuals  | 
                        
                            PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021)  | 
                        
                            Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.15158 Spearman's ρ: 0.292  | 
                        
                            Age, sex, PCs(1-40) | — | 
| PPM001559 | PSS000733| European Ancestry| 58,196 individuals  | 
                        
                            PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021)  | 
                        
                            Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.12321 Spearman's ρ: 0.311  | 
                        
                            Age, sex, PCs(1-40) | — | 
| PPM007380 | PSS006916| African Ancestry| 5,573 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. | 
                        
                            Reported Trait: Non-albumin protein | — | — | R²: 0.02946 [0.02136, 0.03756] Incremental R2 (full-covars): 0.02412 PGS R2 (no covariates): 0.02397 [0.01663, 0.03132]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM007381 | PSS006917| East Asian Ancestry| 1,436 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. | 
                        
                            Reported Trait: Non-albumin protein | — | — | R²: 0.09152 [0.06547, 0.11756] Incremental R2 (full-covars): 0.05716 PGS R2 (no covariates): 0.06672 [0.04387, 0.08956]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM007382 | PSS006918| European Ancestry| 21,514 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. | 
                        
                            Reported Trait: Non-albumin protein | — | — | R²: 0.09985 [0.09278, 0.10691] Incremental R2 (full-covars): 0.09891 PGS R2 (no covariates): 0.09939 [0.09234, 0.10644]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM007383 | PSS006919| South Asian Ancestry| 6,643 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. | 
                        
                            Reported Trait: Non-albumin protein | — | — | R²: 0.09351 [0.08124, 0.10578] Incremental R2 (full-covars): 0.08375 PGS R2 (no covariates): 0.08889 [0.07686, 0.10091]  | 
                        
                            age, sex, UKB array type, Genotype PCs | — | 
| PPM007384 | PSS006920| European Ancestry| 58,191 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. | 
                        
                            Reported Trait: Non-albumin protein | — | — | R²: 0.10006 [0.09577, 0.10436] Incremental R2 (full-covars): 0.10006 PGS R2 (no covariates): 0.10018 [0.09588, 0.10448]  | 
                        
                            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 | 
|---|---|---|---|---|---|---|---|---|
| PSS006916 | — | — | 5,573 individuals | — | African unspecified | — | UKB | — | 
| PSS006917 | — | — | 1,436 individuals | — | East Asian | — | UKB | — | 
| PSS006918 | — | — | 21,514 individuals | — | European | non-white British ancestry | UKB | — | 
| PSS006919 | — | — | 6,643 individuals | — | South Asian | — | UKB | — | 
| PSS006920 | — | — | 58,191 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) | 
| PSS000729 | — | — | 5,573 individuals | — | African unspecified | — | UKB | — | 
| PSS000730 | — | — | 984 individuals | — | East Asian | — | UKB | — | 
| PSS000731 | — | — | 21,516 individuals | — | European | Non-British White | UKB | — | 
| PSS000732 | — | — | 6,687 individuals | — | South Asian | — | UKB | — | 
| PSS000733 | — | — | 58,196 individuals | — | European (British)  | 
                        
                            — | UKB | — |