| Publication Information (EuropePMC) | |
| Title | An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China. | 
| PubMed ID | 35073990(Europe PMC) | 
| doi | 10.1186/s13098-022-00788-y | 
| Publication Date | Jan. 24, 2022 | 
| Journal | Diabetol Metab Syndr | 
| Author(s) | Wu Q, Chen Y, Zhou M, Liu M, Zhang L, Liang Z, Chen D. | 
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | 
                          Ancestry distribution GWAS Dev Eval  | 
                    
                        Scoring File (FTP Link) | 
|---|---|---|---|---|---|---|
| PGS002256  (GRS4_GDM)  | 
                        
                            PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022)  | 
                        
                            Gestational diabetes mellitus in early pregnancy | gestational diabetes | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz | 
| 
                          PGS Performance Metric ID (PPM)  | 
                    
                        Evaluated Score | 
                          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  | 
                    
                    
|---|---|---|---|---|---|---|---|---|---|
| PPM012834 | PGS002256  (GRS4_GDM)  | 
                        
                            PSS009573| East Asian Ancestry| 985 individuals  | 
                        
                            PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022)  | 
                        
                            Reported Trait: Gestational diabetes mellitus in early pregnancy | — | AUROC: 0.62 [0.573, 0.667] | — | — | — | 
| 
                          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 | 
|---|---|---|---|---|---|---|---|---|
| PSS009573 | — | — | [ , 
 0.0 % Male samples  | 
                        
                            — | East Asian (Chinese)  | 
                        
                            — | NR | — |