IGF2BP2 rs11705701 polymorphisms are associated with prediabetes in a Chinese population: A population-based case-control study

Han,Liyuan; Li,Yuanyuan; Tang,Linlin; Chen,Zhongwei; Zhang,Tao; Chen,Sihan; Liu,Shengyuan; Peng,Xiaolin; Mai,Yifeng; Zhuo,Renjie; Wang,Changyi; Duan,Shiwei

doi:10.3892/etm.2016.3554

IGF2BP2 rs11705701 polymorphisms are associated with prediabetes in a Chinese population: A population-based case-control study

Authors:
- Liyuan Han
- Yuanyuan Li
- Linlin Tang
- Zhongwei Chen
- Tao Zhang
- Sihan Chen
- Shengyuan Liu
- Xiaolin Peng
- Yifeng Mai
- Renjie Zhuo
- Changyi Wang
- Shiwei Duan
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Affiliations: Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China, Key Laboratory of Etiology and Epidemiology, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, P.R. China, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China, Department of Endocrinology, The Affiliated Hospital of Ningbo Medical School, Ningbo University, Ningbo, Zhejiang 315000, P.R. China
Published online on: July 27, 2016 https://doi.org/10.3892/etm.2016.3554
Pages: 1849-1856

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Abstract

Associations between insulin-like growth factor 2 mRNA‑binding protein 2 (IGF2BP2) rs11705701, insulin receptor substrate 1 rs7578326, gastric inhibitory polypeptide receptor rs10423928 and transcription factor 7-like 2 rs12255372 gene polymorphisms with prediabetes and type 2 diabetes (T2D) have not been evaluated in the Han Chinese population. These four genetic variants were investigated for their associations with prediabetes and T2D among 490 unrelated patients with T2D, 471 patients with prediabetes and 575 healthy controls. Sequenom MassARRAY software was used to genotype the patients for these variants. The Generalized Multifactor Dimensionality Reduction method was used to analyze the gene‑gene and gene‑environment interactions. A breakdown analysis by gender revealed a significant association of IGF2BP2 rs11705701 with prediabetes under the dominant genetic model in females following application of the Bonferroni correction (odds ratio = 0.26; 95% confidence interval = 0.10‑0.67; P=0.005). However, no significant associations were reported between any of the other three polymorphisms and T2D under any genetic models. Furthermore, there were no statistically significant gene‑gene or gene‑environment interactions when evaluated with the above association tests. The present case‑control study reveals a significant association between IGF2BP2 rs11705701 and prediabetes in female patients.

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