Department of Gynecology and Obstetrics, Qidong People's Hospital, Jiangsu, People's Republic of China.
PLoS One. 2012;7(9):e45882. doi: 10.1371/journal.pone.0045882. Epub 2012 Sep 24.
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.
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.
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.
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.
许多病例对照研究调查了常见的 2 型糖尿病（T2D）风险基因多态性与妊娠糖尿病（GDM）之间的关联。然而，这些研究得出的结果相互矛盾。因此，我们进行了一项荟萃分析，以更精确地估计这些多态性与 GDM 之间的关联，从而更好地理解 T2D 和 GDM 之间的关系。
系统检索了 PubMed、EMBASE、ISI web of science 和中国国家知识基础设施数据库，以确定相关研究。由两位评审员独立提取数据。进行荟萃分析以检查 8 个基因中的 9 个多态性与 GDM 易感性之间的关系。计算比值比（ORs）和 95％置信区间（95％CI）。还测试了文章之间的异质性及其发表偏倚。
我们确定了 22 项符合条件的研究，包括 10336 例 GDM 病例和 17445 例对照。我们发现 8 种遗传多态性在随机效应荟萃分析中与 GDM 显著相关。这些多态性位于或靠近以下基因：TCF7L2（rs7903146）、MTNR1B（rs10830963）、IGF2BP2（rs4402960）、KCNJ11（rs5219）、CDKAL1（rs7754840）、KCNQ1（rs2237892 和 rs2237895）和 GCK（rs4607517）；而 PPARG 与 GDM 风险之间没有关联。在这些多态性的显性遗传模型下也观察到了类似的结果。
本荟萃分析发现了 8 种与 GDM 相关的遗传变异。在 GDM 发病机制中，鉴定基因的相对贡献和相关性应该是未来研究的重点。
