UCP-866G/A和ADIPQ+45T/G基因多态性的交互作用与2型糖尿病 合并冠心病发病风险的关系

目的：探讨UCP2-866G/A 和ADIPOQ+45T/G 基因多态性的交互作用与2型糖尿病合并冠心病发病风险的关系。方法：随机 选取2014 年10 月至2015 年5 月在佳木斯大学附属第一医院就诊的130 例单纯2 型糖尿病患者和128 例2 型糖尿病合并冠心 病患者进行病例对照研究。分别采用聚合酶链反应- 限制性片段长度多态性（PCR-RFLP）方法和聚合酶链反应- 高分辨率溶解曲 线（PCR-HRM）方法检测UCP2-866G/A 和ADIPOQ+45T/G 的基因多态性，并用非条件Logistic 回归分析两基因间的交互作用。 结果：在两组间分别进行UCP2-866G/A 和ADIPOQ+45T/G 基因多态性的单独关联分析，两变异位点的基因型和等位基因的频率 在两组间的分布及遗传模型关联分析均无统计学差异（P>0.05）。两变异位点联合分析发现，UCP2-866 G/A 的GG、GA 分别和 ADIPOQ+45T/G 的TG 在2 型糖尿病合并冠心病中存在正向交互作用（P=0.000，ORI=ORAB/(ORA× ORB)=30.533/(0.549× 0.116) >1；P=0.007，ORI= ORAB/(ORA× ORB)=13.914/(0.525× 0.116)>1。结论：该研究显示： UCP-866G/A 和ADIPOQ+ 45T/G 单一基因的 多态性与2 型糖尿病合并冠心病患病风险无关，而两者之间的交互作用可能增加2 型糖尿病合并冠心病的发病风险。

Interaction of Polymorphisms of ucp2-866G/A and ADIPOQ+45 T/G on the Risk of Type 2 Diabetes Mellitus with Coronary Artery Disease

Objective:To explore the association of the interaction between UCP2-866G/A and +45 T/G polymorphisms with the risk of type 2 diabetes mellitus with coronary artery disease.Methods:A case-control study was performed in cases T2D with CAD (n=128)] and controls (T2D n=130) from the First Affiliated Hospital of Jiamusi University between October 2014 and May 2015. The two single nucleotide polymorphisms (SNPs) were genotyped by PCR-RFLP and PCR-HRMrespectively, and unconditional logistic regression model was used to analyze the interaction of the two SNPs.Results:No significant difference was observed in genotypes and alleles frequencies of UCP2-866G/A and ADIPOQ+45T/G between case and control groups (P>0.05). The same result was found in the genetic model analysis (P>0.05). But there was a positive interaction between UCP2-866G/A GG/GA and ADIPOQ+45T/G TG on the risk of type 2 diabetes mellitus with coronary artery disease (P = 0.000, ORI = ORAB/(ORA× ORB) = 30.533/(0.549× 0.116)>1; P = 0.007, ORI= ORAB/ (ORA× ORB) = 13.914/ (0.525× 0.116)>1).Conclusion:Our study showed that single polymorphism of UCP2-866G/A or ADIPOQ+45 T/G doesn''t confer the risk of type 2 diabetes mellitus with coronary artery disease, but the interaction of two SNPs significantly increases the risk of type 2 diabetes mellitus with coronary artery disease.