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[多因素降维法在检测基因-基因相互作用中的应用]

[The application of multifactor dimensionality reduction for detecting gene-gene interactions].

作者信息

Tang Xun, Li Na, Hu Yong-hua

机构信息

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2006 May;27(5):437-41.

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.

摘要

目的

介绍多因素降维法(MDR)在遗传病例对照研究中检测基因-基因相互作用的应用。

方法

基于一个实际研究案例,讨论了MDR方法实施过程中涉及的基本步骤、理论细节、可用软件以及该方法的使用和特点。

结果

将MDR的优势与传统统计方法进行了比较,表明MDR方法是一种专门为检测基因-基因相互作用而开发的新颖、非参数、无遗传模型的方法。理论和实证研究表明,MDR在检测基因-基因相互作用方面具有合理的效能。MDR方法的应用已在散发性乳腺癌、心房颤动和原发性高血压等多种疾病中发现了基因-基因相互作用的证据。

结论

MDR方法与传统统计方法相比具有很大优势,可用于遗传病例对照研究中检测基因-基因相互作用。

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