Keller Benjamin J, Martini Sebastian, Nair Viji
Department of Computer Science, Eastern Michigan University, Ypsilanti, MI, USA.
Methods Mol Biol. 2012;910:297-308. doi: 10.1007/978-1-61779-965-5_13.
We outline a strategy to use tissue-specific expression along with promoter module analysis to determine the putative functional context of candidate genes implicated in genome-wide association studies. First, genes are selected from candidate SNPs, followed by construction of a gene co-regulation network to expand the regulatory context of the candidate genes, functional analysis to determine putative functional roles, and subsequent analysis of regulatory elements. We describe these sub-strategies and variations, along with guidelines for alternatives in the overall analysis.
我们概述了一种策略,该策略利用组织特异性表达以及启动子模块分析来确定全基因组关联研究中涉及的候选基因的假定功能背景。首先,从候选单核苷酸多态性中选择基因,随后构建基因共调控网络以扩展候选基因的调控背景,进行功能分析以确定假定的功能作用,以及后续的调控元件分析。我们描述了这些子策略及其变体,以及总体分析中替代方法的指南。