Department of Endocrinology, Southern Medical University, Zhujiang Hospital, 253# Industry Road, 510282 Guangzhou, Guangdong, China.
Gene. 2014 Feb 1;535(1):79-87. doi: 10.1016/j.gene.2013.07.087. Epub 2013 Sep 5.
Associations between peroxisome proliferator-activated receptor γ2 (PPARγ2) gene polymorphism and metabolic syndrome risk remained controversial and ambiguous. Thus, we performed a meta-analysis to assess the association between Pro12Ala polymorphism in PPARγ2 gene and metabolic syndrome susceptibility.
An electronic literature search was conducted on Medline, OVID, Cochrane Library database, and the China National Knowledge Internet up to March 2013. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to calculate the strength of association in the fixed or random effects model.
Ten studies involving a total of 4456 cases and 10343 controls were included in this meta-analysis. No statistical evidence of association was found between Pro12Ala polymorphism and metabolic syndrome risk in all genetic models (homozygote model: OR=0.83, 95% CI=0.62-1.12; heterozygote model: OR=1.04, 95% CI=0.94-1.14; dominant model: OR=1.02, 95% CI=0.93-1.12; recessive model: OR=0.83, 95% CI=0.62-1.11). No statistical evidence of significant association was observed when stratified by ethnicity, definition of metabolic syndrome, source of control groups and quality score of the selected articles. All in all, the results did not support a major role of the Pro12Ala variant of the PPARγ2 gene in metabolic syndrome risk.
This meta-analysis suggested that the effect of Pro12Ala polymorphism in PPARγ2 gene may not be related to metabolic syndrome as an entity. However, Pro12Ala may affect the single component of metabolic syndrome. A large, well designed study is required to more adequately assess the role for Pro12Ala polymorphism on metabolic syndrome.
过氧化物酶体增殖物激活受体 γ2(PPARγ2)基因多态性与代谢综合征风险之间的关联仍存在争议和不明确。因此,我们进行了一项荟萃分析,以评估 PPARγ2 基因 Pro12Ala 多态性与代谢综合征易感性之间的关系。
我们在 Medline、OVID、Cochrane Library 数据库和中国国家知识互联网上进行了电子文献检索,检索时间截至 2013 年 3 月。使用固定或随机效应模型计算优势比(OR)及其 95%置信区间(CI)来评估关联的强度。
这项荟萃分析共纳入了 10 项研究,总计 4456 例病例和 10343 例对照。在所有遗传模型中(纯合子模型:OR=0.83,95%CI=0.62-1.12;杂合子模型:OR=1.04,95%CI=0.94-1.14;显性模型:OR=1.02,95%CI=0.93-1.12;隐性模型:OR=0.83,95%CI=0.62-1.11),均未发现 Pro12Ala 多态性与代谢综合征风险之间存在统计学意义的关联。按种族、代谢综合征定义、对照组来源和入选文章质量评分进行分层分析,也未观察到有统计学意义的关联。总之,这些结果不支持 PPARγ2 基因 Pro12Ala 变异与代谢综合征风险之间存在主要作用。
这项荟萃分析表明,PPARγ2 基因 Pro12Ala 多态性与代谢综合征作为一个整体可能没有关系。但是,Pro12Ala 可能会影响代谢综合征的单个组成部分。需要进行更大规模、精心设计的研究,以更充分地评估 Pro12Ala 多态性对代谢综合征的作用。