Association between SEC16B polymorphisms and body mass index variation or risk of obesity: a Meta-analysis].

Objective: To systematically evaluate the associations between SEC16B polymorphisms and body mass index (BMI) or risk of obesity in different ethnic populations. Methods: A literature retrieval was carried out by using Wanfangdata, Chinese National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP databases), PubMed, Embase, Web of Science, NIH GWAS catalog databases to collect the research papers published between 2009 and 2015 on the associations between SEC16B polymorphisms and BMI or risk of obesity. Summary beta estimates (βs), odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the strength for the BMI analyses and obesity status. Meta-analysis was performed with Stata 12.0 software. Results: Totally 15 papers for rs10913469 and 13 papers for rs543874 were included in this Meta-analysis. Under additive genetic model, rs10913469 and rs543874 in SEC16B gene were positively associated with BMI, and the combined β was 0.04 (95%CI: 0.03-0.05) and 0.03 (95%CI: 0.02-0.04), respectively, and rs10913469 and rs543874 were also associated with the risk of obesity, and the combined OR was 1.11 (95%CI: 1.08-1.15) and 1.28 (95%CI: 1.20-1.36), respectively. There were no significant differences among subgroups of ethnicity, different age groups and literatures with different quality. Conclusion: rs10913469 and rs543874 in SEC16B gene are significantly associated with BMI and the risk of obesity, and C allele of rs10913469 and G allele of rs543874 increase the risk for obesity in different ethnic populations.

Citation

L W Fu, M X Zhang, L W Gao, J Mi. Association between SEC16B polymorphisms and body mass index variation or risk of obesity: a Meta-analysis]. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi. 2016 Sep 10;37(9):1288-1295

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PMID: 27655580

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