title: Linking variants from genome-wide association analysis to function via transcriptional network analysis.
abstract: 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.
authors: Department of Computer Science, Eastern Michigan University, Ypsilanti, MI, USA. bkeller@emich.edu
authors: Benjamin J
authors: BJ
authors: Keller
authors: Sebastian
authors: S
authors: Martini
authors: Viji
authors: V
authors: Nair
mesh_terms: D053263:Gene Regulatory Networks / Q000235:genetics*; D055106:Genome-Wide Association Study; D020641:Polymorphism, Single Nucleotide / Q000235:genetics