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基于随机森林方法检测年龄相关性黄斑变性的基因及基因-基因相互作用

Detecting Genes and Gene-gene Interactions for Age-related Macular Degeneration with a Forest-based Approach.

作者信息

Wang Minghui, Zhang Meizhuo, Chen Xiang, Zhang Heping

机构信息

Yale University School of Medicine.

出版信息

Stat Biopharm Res. 2009 Nov 1;1(4):424-430. doi: 10.1198/sbr.2009.0046.

Abstract

Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly. Genetic mechanisms underlying AMD are complex. Understanding the etiology of AMD is important because of the significant health and social concerns. In this paper, we describe a forest-based approach to systematically identifying multiple genes, gene-gene interactions and gene-environment interactions underlying complex diseases in genomewide case-control studies and the application of this approach to a published data set on AMD. Our analysis not only confirmed two known haplotypes, ACTCCG (on chromosome 1 with a p-value of 1.98e-6) and TCTGGACGACA (on chromosome 7 with a p-value of 9.81e-3), but also revealed two novel haplotypes, GATAGT (on chromosome 5 with a p-value of 3.46e-3) and TCTTACGTAGA (on chromosome 12 with a p-value of 3.16e-2). Thus, the significance of this work is twofold. First, we propose a powerful and robust method to identify high-risk haplotypes and their interactions; second, we reveal potential genetic variants associated with AMD.

摘要

年龄相关性黄斑变性(AMD)是老年人视力丧失的主要原因。AMD潜在的遗传机制很复杂。鉴于重大的健康和社会问题,了解AMD的病因很重要。在本文中,我们描述了一种基于森林的方法,用于在全基因组病例对照研究中系统地识别复杂疾病潜在的多个基因、基因-基因相互作用和基因-环境相互作用,并将该方法应用于已发表的AMD数据集。我们的分析不仅证实了两种已知单倍型,即ACTCCG(位于1号染色体,p值为1.98e-6)和TCTGGACGACA(位于7号染色体,p值为9.81e-3),还发现了两种新的单倍型,即GATAGT(位于5号染色体,p值为3.46e-3)和TCTTACGTAGA(位于12号染色体,p值为3.16e-2)。因此,这项工作的意义有两方面。第一,我们提出了一种强大且稳健的方法来识别高风险单倍型及其相互作用;第二,我们揭示了与AMD相关的潜在遗传变异。

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