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- Title
Genetic determinants of gestational diabetes mellitus: a case–control study in two independent populations.
- Authors
Shen, Yi; Jia, Yulong; Li, Yuandong; Gu, Xuefeng; Wan, Guoqing; Zhang, Peng; Zhang, Yafeng; Jiang, Liying
- Abstract
Background: Genetic risk score (GRS) is more informative to identify the complicated associations between variants of genes and disease. Considering similar pathogenesis and shared genetic predispositions between gestational diabetes mellitus (GDM) and type 2 diabetes/obesity, we conducted this study to explore whether the GRS model integrating variants related to type 2 diabetes/obesity is also associated with GDM risk. Methods: A population-based case–control study that included 1429 subjects was conducted to investigate the association between the GRS model and GDM risk, which were analyzed employing stratified logistic regression analysis with the adjustment for age, BMI, parity and family history of diabetes. Results: We have screened 23 SNPs and further filtered six SNPs that were significantly associated with the risk of GDM: four risk SNPs (MTNR1B: rs10830963, rs1387153, rs2166706; MC4R: rs2229616) and two protective SNPs (MTNR1B: rs1447352 and rs4753426). The GRS model with a higher score indicated a higher genetic predisposition to develop GDM, especially in the highest quartile of GRS (all P < 0.001) and the strata of advanced maternal age (all P < 0.001) and obesity (all P = 0.005). Conclusion: In this study, six SNPs were explored and further identified to be associated with GDM risk, which suggested GRSs including these polymorphisms might participate in facilitating GDM risk. These findings offer the potential to improve our understanding of the etiology of GDM.
- Subjects
GESTATIONAL diabetes; TYPE 2 diabetes; MATERNAL age; CASE-control method; LOGISTIC regression analysis; PATHOLOGY; SINGLE nucleotide polymorphisms
- Publication
Acta Diabetologica, 2020, Vol 57, Issue 7, p843
- ISSN
0940-5429
- Publication type
Article
- DOI
10.1007/s00592-020-01485-w