| 付利万,张美仙,高利旺,米杰.SEC16B基因多态性与体质指数和肥胖关联的Meta分析[J].Chinese journal of Epidemiology,2016,37(9):1288-1295 |
| SEC16B基因多态性与体质指数和肥胖关联的Meta分析 |
| Association between SEC16B polymorphisms and body mass index variation or risk of obesity: a Meta-analysis |
| Received:March 31, 2016 |
| DOI：10.3760/cma.j.issn.0254-6450.2016.09.021 |
| KeyWord: 肥胖 SEC16B 体质指数 rs10913469 rs543874 Meta分析 |
| English Key Word: Obesity SEC16B Body mass index rs10913469 rs543874 Meta-analysis |
| FundProject:国家自然科学基金（81473062，81502872）；国家重点基础研究发展计划（2013CB530605） |
| Author Name | Affiliation | E-mail | | Fu Liwan | Department of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China | | | Zhang Meixian | Department of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China | | | Gao Liwang | Department of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China | | | Mi Jie | Department of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China | jiemi@vip.163.com |
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| Abstract: |
| 目的 探讨SEC16B基因多态性与BMI和肥胖的关联性。方法 系统检索2009-2015年在万方数据库（Wanfangdata）、中国期刊全文数据库（CNKI）、维普中文科技期刊全文数据库（VIP）、PubMed、Embase、Web of Science、NIH GWAS catalog数据库中收录的关于SEC16B基因多态性与BMI和/或肥胖关联性的文献。分别以β值和OR值及其95% CI作为Meta分析效应合并指标。采用Stata 12.0软件对研究结果进行异质性检验和效应值合并计算。结果 最终纳入28篇文献，包括rs10913469相关15篇和rs543874相关13篇。Meta分析显示，在加性遗传模型下，rs10913469-C和rs543874-G与BMI水平具有正向关联，合并β值（95% CI）分别为0.04（0.03～0.05）和0.03（0.02～0.04）；与肥胖罹患风险关联的合并OR值（95% CI）分别为1.11（1.08～1.15）和1.28（1.20～1.36）。按种族、年龄和文献质量进行亚组分析后，rs10913469和rs543874位点与肥胖关联的合并OR值仍有统计学意义。结论 SEC16B基因多态性rs10913469和rs543874位点与不同种族人群BMI及肥胖均有关联，rs10913469-C等位基因和rs543874-G等位基因可增加肥胖罹患风险。 |
| English Abstract: |
| 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. |
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