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 | — |