中国人群2型糖尿病与脂联素基因单核苷酸多态性关系的Meta分析

目的 综合评价中国人群脂联素基因(apM1)单核苷酸多态性(SNP)与2型糖尿病的关系.方法 应用Meta分析软件包RevMan4.3.1对各研究结果进行数据合并,计算SNP基因型频数分布合并后OR值及其95%CI;利用Egger分析和失安全系数(Nfs<,0.05>)评估发表偏倚;对各研究结果进行不同分析模式和样本含量的敏感性分析,评价Meta分析结果的稳定性.结果 检索筛选到相关文献9篇.apM1基因的SNP45在各研究间存在显著的异质性(P<0.10).亚组分析表明apM1基因SNP45在以南方人群为对象的研究间异质性较大(P<0.01),是异质性的主要来源.apM1等位基因或基因型SNP45G和SNP45GG、SNP276G和SNP276GG在中国2型糖尿病人群的分布频率显著高于正常糖耐量组,其合并OR值(95%CI)分别为1.50[1.12,2.02]、2.15[1.53,3.02]、1.23[1.03,1.46]和1.26[1.00,1.59](均P<0.05).apM1基因型SNP45TG和SNP276GT在两组人群中的分布没有统计学意义(P>0.05).发表偏倚分析和敏感性分析结果证实上述Meta分析结果是稳定和可靠的.结论 中国人群2型糖尿病与apM1基因SNP关系密切,SNP45G和SNP276G可能是2型糖尿病的危险因素.

Meta-analysis on the association of apM1 gene single nucleotide polymorphisms and type 2 diabetes mellitus in Chinese population

Objective To evaluate the association of apM1 gene single nucleotide polymorphisms (SNP) with type 2 diabetes mellitus in Chinese population. Methods Odds ratios (OR) of apM1 gene SNP distribution were analyzed. The Meta-analysis software (RevMan 4.3.1) was employed for summarizing the studies,calculating the pooled OR and its 95% CI and testing the overall effects. Egger's test and fail-safe number for P=0.05 (Nfs<,0.05>) were performed for evaluating the publication bias. The sensitivity analysis by different effect models and sample sizes were employed for the reliability of Meta-analysis. Results Nine literatures were obtained, apM1 gene SNP45 showed remarkable heterogeneity among the studies (P<0.10). Sub-group analysis revealed that the discrepancy based on southern Chinese individuals was the main source of the total heterogeneity.The distribution frequencies of apM1 gene SNP45G, SNP45GG, SNP276G and SNP276GG were significantly higher in Chinese type 2 diabetes mellitus group than those in NGT group (P<0.05). Their pooled OR and 95% C/were 1.50[1.12,2.02], 2.15[1.53, 3.02],1.23[1.03, 1.46] and 1.26[1.00,1.59], respectively (all P<0.05). The distribution of apM1 gene SNP45TG and SNP276GT between type 2 diabetes mellitus and normal glucose tolerance group revealed no difference among these studies. The results of publication bias diagnostics and sensitivity analysis accounted for the reliability and stability of this Meta-analysis. Conclusion apM1 gene SNPs are strongly associated with type 2 diabetes mellitus in Chinese population. SNP45G and SNP276G seem to be risk factors for type 2 diabetes mellitus.