应用多因子降维法分析基因-基因交互作用

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.

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

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.