基于多因子降维法模型的醛固酮合成酶基因多态性与饮酒指数对蒙古族人群高血压的交互作用  

Impact of gene-environment interaction between the C （-344）T polymorphism of CYP11B2 and drinking index on the risk of hypertension under multifactor dimensionality reduction model in Chinese Mongolian population

作　　者：潘兴强[1] 刘永跃[2] 张显玉 张永红[1] 许群[4] 邱长春[4] 佟伟军[1] 

机构地区：[1]苏州大学医学部放射医学与公共卫生学院流行病与卫生统计学教研室,215123 [2]内蒙古自治区通辽市疾病预防控制中心 [3]奈曼旗疾病预防控制中心 [4]中国医学科学院基础医学研究所

出　　处：《中华流行病学杂志》2009年第9期955-959,共5页Chinese Journal of Epidemiology

基　　金：基金项目：国家自然科学基金（30360094）

摘　　要：目的探讨醛固酮合成酶（CYP11B2）基因T（-344）C多态性与饮酒指数对蒙古族人群高血压发生的交互作用。方法采用横断面调查研究，选择蒙古族居民1575人作为研究对象。应用多聚酶链式反应技术检测ACE基因、CYP11B2基因、内皮型一氧化氮合成酶基因的多态性。运用多因子降维法（MDR）分析基因-环境的交互作用，并根据最优MDR模型建立基因-环境交互作用及联合作用的logistic回归模型。结果MDR最佳模型为CYP11B2基因与饮酒指数的交互作用，该模型的检验样本平衡准确度为0．604，交叉一致性为10／10。多因素logistic回归分析显示CYP11B2基因、饮酒指数主效应差异均无统计学意义，交互作用有统计学意义（P=0．003），其OR值及95％CI为10．25（2．23—47．18），联合作用也有统计学意义（P〈0．05）。结论CYP11B2基因T（-344）C突变型与饮酒行为可能协同影响蒙古族人群高血压的发生。Objective To explore th-e interaction between C （-344）T polymorphism of CYP11B2 and drinking index （DI） as well as their impact on the risk of hypertension in Chinese Mongolian population. Methods A total of 1575 Mongolian people aged 20 and older including 562 hypertensive and 1013 normal-tensive from agricultural and pastoral areas in Tongliao city of Inner Mongolia, were included in this study. A cross-sectional survey was conducted to collect data by personal interview with local residents, using a standard questionnaire. Fasting blood samples were drawn and height, weight and blood pressure were measured. The variant genotypes of CYP11B2, ACE and eNOS were identified by PCR assays. Gene-environment interactions were analyzed, using multifactor dimensionality reduction （MDR） model. Based on the result of the best MDR model, a multiple logistic regression model was constructed as the final cause-effect interpretative model. Results The interaction between CYP11B2 variant genotype and drinking index appeared the best MDR model with statistical significance （x^2= 66.35, P〈 0.01 ）. Testing balance accuracy of the model was 0.604. The cross-validation consistency was 10/10. Data from the final multiple logistic regression based on the MDR model showed that the main effects of both CYP 11 B2 variant genotype and the DI were not significantly different but the interaction between the genotype （TC） and the DI （90-） was, with regard to hypertension （OR, 10.25; 95% CI, 2.23-47.18; P=0.003）. The combined effects between CYP11B2 variant genotype and the DI showed that following indices as ： genotype TT or TC combining non-zero drinking index, including genotype （TT） combining the drinking index（ ≥ 168）, the genotype（TT） combining the drinking index （≥40）, the genotype （TT） combining the drinking index （ ≥1 ） and the genotype （TC） combining the drinking index （ ≥90）, were all risk factors of hypertension when comparing with genotype （CC） combining

关 键 词：高血压 多因子降维法 醛固酮合成酶 饮酒指数 交互作用 

分 类 号：R544.1[医药卫生—心血管疾病]