期刊
EUROPEAN JOURNAL OF HUMAN GENETICS
卷 17, 期 10, 页码 1231-1240出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/ejhg.2009.15
关键词
association studies; genome-wide scan; epistasis; biological network
Genome-wide association studies have identified a large number of single-nucleotide polymorphisms (SNPs) that individually predispose to diseases. However, many genetic risk factors remain unaccounted for. Proteins coded by genes interact in the cell, and it is most likely that certain variants mainly affect the phenotype in combination with other variants, termed epistasis. An exhaustive search for epistatic effects is computationally demanding, as several billions of SNP pairs exist for typical genotyping chips. In this study, the experimental knowledge on biological networks is used to narrow the search for two-locus epistasis. We provide evidence that this approach is computationally feasible and statistically powerful. By applying this method to the Wellcome Trust Case-Control Consortium data sets, we report four significant cases of epistasis between unlinked loci, in susceptibility to Crohn's disease, bipolar disorder, hypertension and rheumatoid arthritis. European Journal of Human Genetics (2009) 17, 1231-1240; doi: 10.1038/ejhg.2009.15; published online 11 March 2009
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据