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Meta-Analysis
. 2012;7(9):e45882.
doi: 10.1371/journal.pone.0045882. Epub 2012 Sep 24.

Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus

Hongyan Mao  1 , Qin Li, Shujun Gao
Affiliations
Meta-Analysis

Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus

Hongyan Mao et al. PLoS One. 2012.

Abstract

Background: A number of case-control studies were conducted to investigate the association of common type 2 diabetes (T2D) risk gene polymorphisms with gestational diabetes mellitus (GDM). However, these studies have yielded contradictory results. We therefore performed a meta-analysis to derive a more precise estimation of the association between these polymorphisms and GDM, hence achieve a better understanding to the relationship between T2D and GDM.

Methods: PubMed, EMBASE, ISI web of science and the Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. Data were abstracted independently by two reviewers. A meta-analysis was performed to examine the association between 9 polymorphisms from 8 genes and susceptibility to GDM. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Heterogeneity among articles and their publication bias were also tested.

Results: We identified 22 eligible studies including a total of 10,336 GDM cases and 17,445 controls. We found 8 genetic polymorphisms were significantly associated with GDM in a random-effects meta-analysis. These polymorphisms were in or near the following genes: TCF7L2 (rs7903146), MTNR1B (rs10830963), IGF2BP2 (rs4402960), KCNJ11 (rs5219), CDKAL1 (rs7754840), KCNQ1 (rs2237892 and rs2237895) and GCK (rs4607517); while no association was found for PPARG with GDM risk. Similar results were also observed under dominant genetic model for these polymorphisms.

Conclusions: This meta-analysis found 8 genetic variants associated with GDM. The relative contribution and relevance of the identified genes in the pathogenesis of GDM should be the focus of future studies.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. The flow chart of the included studies.
See this image and copyright information in PMC

References

    1. Metzger BE (1991) Summary and recommendations of the Third International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Suppl 2 197–201. - PubMed
    1. Buchanan TA, Metzger BE, Freinkel N, Bergman RN (1990) Insulin sensitivity and B-cell responsiveness to glucose during late pregnancy in lean and moderately obese women with normal glucose tolerance or mild gestational diabetes. Am J Obstet Gynecol 162: 1008–1014. - PubMed
    1. Ryan EA, O'Sullivan MJ, Skyler JS (1985) Insulin action during pregnancy. Studies with the euglycemic clamp technique. Diabetes 34: 380–389. - PubMed
    1. Hadden DR (1985) Geographic, ethnic, and racial variations in the incidence of gestational diabetes mellitus. Diabetes 34 (Suppl 2) 8–12. - PubMed
    1. Shaat N, Groop L (2007) Genetics of gestational diabetes mellitus. Curr Med Chem 14: 569–83. - PubMed

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