Abstract
唐迅,李娜,胡永华.应用多因子降维法分析基因-基因交互作用[J].Chinese journal of Epidemiology,2006,27(5):437-441
应用多因子降维法分析基因-基因交互作用
The application of multifactor dimensionality reduction for detecting gene-gene interactions
Received:September 29, 2005  
DOI:
KeyWord: 病例对照研究  多因子降维法  基因-基因交互作用
English Key Word: Case-control study  Multifactor dimensionality reduction  Gene-gene interactions
FundProject:国家“十五”科技攻关课题资助项目(2001BA703B02)
Author NameAffiliationE-mail
TANG Xun Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China  
LI Na Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China  
HU Yong-hua Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China yhhu@bjmu.edu.cn 
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Abstract:
      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。
English Abstract:
      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,nonparametric, 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.
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