中国人群脂联素基因+45位点基因多态性与2型糖尿病相关性的Meta分析

Correlation of the Adiponectin Gene +45 in Exon 2 Polymorphisms and Type 2 Diabetes Mellitus in Chinese Population:A Meta-Analysis

目的通过Meta分析评估中国人群脂联素基因外显子二+45位点单核苷酸多态性与2型糖尿病的相关性。方法计算机检索PubMed、Ovid、CBM、VIP、CNKI和WanFang Data中关于中国人群脂联素基因SNP45与2型糖尿病相关性的病例-对照研究,并辅以文献追溯。检索时限均从建库至2012年6月。由2名评价者按纳入排除标准独立选择文献、提取资料、评价质量后采用Stata 11.0软件进行Meta分析,采用分层和敏感性分析评估结果稳定性,并用Begg’s漏斗图和Egger’s法评估文献的发表偏倚。结果共纳入21篇文献(含22个研究),其中2型糖尿病患者3 273例,对照人群2 597例。Meta分析结果显示,无论在显性、隐性或加性遗传模式下,两组差异均有统计学意义[OR(95%CI)分别为1.36(1.04,1.78)、2.07(1.55,2.75)、2.44(1.59,3.75)]。结论脂联素基因外显子二+45位点基因多态性与中国人群的2型糖尿病具有相关性。不论是在显性、隐性还是在加性遗传模式下,G等位基因均为2型糖尿病的危险因素。

Objective To evaluate the relationship between the single nucleotide polymorphisms （SNPs） of the adiponectin gene ＋45 in exon 2 and type 2 diabetes mellitus （T2DM） in Chinese population via meta-analysis. Methods Databases including PubMed, Ovid, CBM, VIP, CNKI, and WanFang Data were searched from inception to June 2012, and the references of articles were also retrieved to collect case-control studies about the correlation of SNPs of the adiponectin gene ＋45 in exon 2 and T2DM in Chinese population. According to the self-designed inclusion and exclusion criteria, two reviewers screened articles, extracted data, and assessed the quality of the included studies independently. Then meta-analysis was performed STATA 11.0, with stability evaluated by both stratified analysis and sensitivity analysis. Moreover, Begg＇s funnel plot and Egger＇s method were used to assess the published bias of articles. Results 21 articles involving 22 studies were included （3272 T2DM cases and 2597 controls）. There were significant differences between the two groups in dominant, recessive and addictive genetic models, and the pooled ORs （95% CI） were 1.36 （1.04, 1.78）, 2.07 （1.55, 2.75）, and 2.44 （1.59, 3.75）, respectively. Conclusion The genetic single nucleotide polymorphisms of the adi- ponectin ＋45 in exon 2 is associated with type 2 diabetes in Chinese population. G allele of APMI is a risk factor for type 2 diabetes, no matter in dominant, recessive or addictive genetic models.