应用多因子降维法分析基因-基因交互作用  

The application of muitifactor dimensionality reduction for detecting gene-gene interactions

作　　者：唐迅[1] 李娜[1] 胡永华[1] 

机构地区：[1]北京大学医学部公共卫生学院流行病与卫生统计学系,100083

出　　处：《中华流行病学杂志》2006年第5期437-441,共5页Chinese Journal of Epidemiology

基　　金：国家"十五"科技攻关课题资助项目(2001BA703B02)

摘　　要：目的介绍在遗传流行病学病例对照研究中,应用多因子降维法(MDR)分析基因-基因交互作用。方法简述MDR的基本步骤、原理及其特点,并结合研究实例说明在病例对照研究中如何应用软件进行MDR分析。结果相对于传统的统计学方法,MDR是一种无参数、无遗传模式的分析交互作用的方法,理论和实例研究均表明其分析交互作用具有较好的效能,目前已成功应用于散发性乳腺癌、心房颤动和原发性高血压等疾病的研究。结论 MDR能够应用于病例对照研究进行基因-基因交互作用的分析,且具有较传统的统计学分析方法无法比拟的优势。Objective To introduce the application of Multifactor Dimensionality Reduction （MDR） method for detecting gene-gene interactions in genetic case-control studies. Methods A brief overview on basic steps involved in the implementation, theoretical details, available software as well as the use and features of the MDR method were discussed based on a practical research case. Results Advantages of MDR were compared to the conventional statistical approaches, showing that MDR method was a novel, nonparametrie, genetic model free approach that was developed specifically for detecting gene-gene interactions. Theoretical and empirical studies suggested that MDR was having reasonable power for detecting gene gene interactions. Applications of MDR method had found the evidence of gene-gene interactions in several diseases such as sporadic breast cancer, atrial fibrillation and essential hypertension. Conclusion MDR method could be used for detecting gene-gene interactions in genetic case-control studies as having great advantages versus the conventional statistical approaches.

关 键 词：病例对照研究 多因子降维法 基因-基因交互作用 

分 类 号：R346[医药卫生—基础医学]