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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Endocrinol. | doi: 10.3389/fendo.2018.00564

Association between SLC30A8 rs13266634 polymorphism and risk of T2DM and IGR in Chinese population: a systematic review and meta-analysis

Dong Fang1, 2, 3,  Bao-huan Zhang1, 2, Shao-ling Zheng1, 2, Xiu-xia Huang1, 2, Xiu-ben Du1, 2, Ke-hui Zhu1, 2, Xiao-jing Chen1, 2, Jing Wu1, 2, Dan-dan Liu1, 2,  Zi-hao Wen1, 2, Xiao-qian Zou1, 2, Yu-mei Liu1, 2, Shi-rui Dong1, 2, Fang-fang Zeng1, 2*,  Guang Yang1* and  Chun-xia Jing1, 2*
  • 1The Department of pathogenic biology, School of Medicine, Jinan University, China
  • 2Department of Epidemiology, School of Basic Medical Sciences, Jinan University, China
  • 3Department of information and statistics, Shenzhen Hospital of Guangzhou University of Chinese Medicine, China

INTRODUCTION: Published data regarding the association between solute carrier family 30, member 8 (SLC30A8) rs13266634 polymorphism and type 2 diabetes mellitus (T2DM) and impaired glucose regulation (IGR) risks in Chinese population are in-consistent. The purpose of this meta-analysis was to evaluate the association between SLC30A8 rs13266634 and T2DM/IGR in a Chinese population.
MATERIAL AND METHODS: Three English (PubMed, Embase, and Web of Science) and three Chinese databases (Wanfang, CNKI, and CBMD database) were used for searching articles from January 2005 to January 2018. Odds ratio (OR) and 95% confidence interval (95%CI) were calculated with the random-effect model. Trial sequential analysis was also utilized.
RESULTS: Twenty-eight case-control studies with 25,912 cases and 26,975 controls were included for SLC30A8 and T2DM. Pooled risk allele C frequency for rs13266634 was 60.6% (95%CI: 59.2%-62.0%) in the T2DM group and 54.8% (95%CI: 53.2%-56.4%) in the control group which had estimated OR of 1.23 (95%CI: 1.17-1.28). Individuals who carried major homozygous CC and heterozygous CT genotype were at 1.51 and 1.23 times higher risk of T2DM, respectively, than those carrying minor homozygous TT. The most appropriate genetic analysis model was the co-dominant model based on comparison of OR1, OR2 and OR3. Five articles that involved 4,627 cases and 6,166 controls were included for SLC30A8 and IGR. However, no association was found between SLC30A8 rs13266634 and IGR (C vs. T, OR=1.13, 95%CI: 0.98-1.30, p=0.082). TSA revealed that the pooled sample sizes of T2DM exceeded the estimated required information size but not the IGR.
CONCLUSION: The present meta-analysis demonstrated that SLC30A8 rs13266634 was a potential risk factor for T2DM, and more studies should be performed to confirm the association between rs13266634 polymorphism and IGR.

Keywords: type 2 diabetes mellitus, Impaired glucose regulation, SLC30A8, Rs13266634, polymorphism, Meta-analysis

Received: 26 Feb 2018; Accepted: 04 Sep 2018.

Edited by:

David Meyre, McMaster University, Canada

Reviewed by:

Ghislain Rocheleau, UMR8199 Génomique intégrative et modélisation des maladies métaboliques, France
Eusebio Chiefari, Dipartimento di Scienze della Salute, Università degli Studi Magna Graecia di Catanzaro, Italy  

Copyright: © 2018 Fang, Zhang, Zheng, Huang, Du, Zhu, Chen, Wu, Liu, Wen, Zou, Liu, Dong, Zeng, Yang and Jing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Ms. Fang-fang Zeng, Jinan University, Department of Epidemiology, School of Basic Medical Sciences, Guangzhou, Guangdong, China, zengffjnu@126.com
Prof. Guang Yang, Jinan University, The Department of pathogenic biology, School of Medicine, Guangzhou, 510632, Guangdong, China, tyangguang@jnu.edu.cn
Prof. Chun-xia Jing, Jinan University, Department of Epidemiology, School of Basic Medical Sciences, Guangzhou, Guangdong, China, jcxphd@gmail.com