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The rs2237892 Polymorphism in KCNQ1 Influences Gestational Diabetes Mellitus and Glucose Levels: A Case-Control Study and Meta-Analysis

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  • Deng Ao
  • Hai-jun Wang
  • Li-fang Wang
  • Jie-yun Song
  • Hui-xia Yang
  • Yan Wang

Abstract

Objective: Recent genetic studies have shown that potassium voltage-gated channel, KQT-like subfamily, member1 (KCNQ1) gene is related to gestational diabetes mellitus (GDM). However, studies for the rs2237892 polymorphism in KCNQ1 and GDM remain conflicting in Asians. Furthermore, associations of this polymorphism with glucose levels during oral glucose tolerance test (OGTT) have not been described in Chinese pregnant women. The present study aimed to provide evidence for the associations of rs2237892 in KCNQ1 with GDM and glucose levels, and to systematically evaluate the effect of rs2237892 on GDM in Asians. Methods: A case-control study on 562 women with GDM and 453 controls was conducted in Beijing, China. The association of rs2237892 with risk of GDM was analyzed using logistic regression. The associations with quantitative glucose levels were assessed using linear regression models. A meta-analysis including the present case-control study and four previously published reports in Asians was conducted. Results: The rs2237892 polymorphism in KCNQ1 was associated with GDM (OR (95%CI) =1.99(1.26-3.15)). Additionally, the polymorphism was associated with levels of 1h and 2h glucose during OGTT. The pre-pregnancy BMI, age and genotypes of KCNQ1 polymorphism were independent risk factors of GDM. Subsequently, we performed a meta-analysis in Asians. In total, C-allele carriers of rs2237892 polymorphism had a 50% higher risk for GDM (OR (95%CI) =1.50(1.15-1.78)). Conclusion: The study demonstrated for the first time that the KCNQ1 rs2237892 polymorphism was associated with GDM and glucose levels in Chinese women. The study provides systematic evidence for the association between this polymorphism and GDM in Asians.

Suggested Citation

  • Deng Ao & Hai-jun Wang & Li-fang Wang & Jie-yun Song & Hui-xia Yang & Yan Wang, 2015. "The rs2237892 Polymorphism in KCNQ1 Influences Gestational Diabetes Mellitus and Glucose Levels: A Case-Control Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-11, June.
  • Handle: RePEc:plo:pone00:0128901
    DOI: 10.1371/journal.pone.0128901
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    References listed on IDEAS

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    1. Bo Xi & Giriraj R Chandak & Yue Shen & Qijuan Wang & Donghao Zhou, 2012. "Association between Common Polymorphism near the MC4R Gene and Obesity Risk: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    2. Hongyan Mao & Qin Li & Shujun Gao, 2012. "Meta-Analysis of the Relationship between Common Type 2 Diabetes Risk Gene Variants with Gestational Diabetes Mellitus," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    3. Li-Wen He & Rong Shi & Lei Jiang & Ye Zeng & Wen-Li Ma & Jue-Yu Zhou, 2014. "XRCC1 Gene Polymorphisms and Glioma Risk in Chinese Population: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-10, November.
    4. Qiman Sun & Kang Song & Xizhong Shen & Yu Cai, 2012. "The Association between KCNQ1 Gene Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    5. Yue-e Dai & Linjun Tang & Jasmine Healy & Daniel Sinnett, 2014. "Contribution of Polymorphisms in IKZF1 Gene to Childhood Acute Leukemia: A Meta-Analysis of 33 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-17, November.
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    Cited by:

    1. Katherine Angela Benson & Alexander Peter Maxwell & Amy Jayne McKnight, 2016. "A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-13, January.
    2. Pei-Chao Lin & Wei-Ting Lin & Yao-Hsien Yeh & Shu-Fen Wung, 2016. "Transcription Factor 7-Like 2 (TCF7L2) rs7903146 Polymorphism as a Risk Factor for Gestational Diabetes Mellitus: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-16, April.

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