10.3389/fendo.2018.00564.s001
Fang Dong
Fang
Dong
Bao-huan Zhang
Bao-huan
Zhang
Shao-ling Zheng
Shao-ling
Zheng
Xiu-xia Huang
Xiu-xia
Huang
Xiu-ben Du
Xiu-ben
Du
Ke-hui Zhu
Ke-hui
Zhu
Xiao-jing Chen
Xiao-jing
Chen
Jing Wu
Jing
Wu
Dan-dan Liu
Dan-dan
Liu
Zi-hao Wen
Zi-hao
Wen
Xiao-qian Zou
Xiao-qian
Zou
Yu-mei Liu
Yu-mei
Liu
Shi-rui Dong
Shi-rui
Dong
Fang-fang Zeng
Fang-fang
Zeng
Guang Yang
Guang
Yang
Chun-xia Jing
Chun-xia
Jing
Table_1_Association Between SLC30A8 rs13266634 Polymorphism and Risk of T2DM and IGR in Chinese Population: A Systematic Review and Meta-Analysis.DOCX
Frontiers
2018
type 2 diabetes mellitus
impaired glucose regulation
SLC30A8
rs13266634
polymorphism
meta-analysis
2018-09-25 04:07:14
Dataset
https://frontiersin.figshare.com/articles/dataset/Table_1_Association_Between_SLC30A8_rs13266634_Polymorphism_and_Risk_of_T2DM_and_IGR_in_Chinese_Population_A_Systematic_Review_and_Meta-Analysis_DOCX/7126331
<p>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.</p><p>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.</p><p>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.</p><p>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.</p>