dmGWAS: dense module searching for genome-wide association studies in protein–protein interaction networks
Author(s) -
Peilin Jia,
Siyuan Zheng,
Jirong Long,
Wei Zheng,
Zhongming Zhao
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq615
Subject(s) - genome wide association study , computational biology , genetic association , gene , association (psychology) , genome , set (abstract data type) , candidate gene , computer science , identification (biology) , biology , genetics , single nucleotide polymorphism , philosophy , botany , epistemology , genotype , programming language
An important question that has emerged from the recent success of genome-wide association studies (GWAS) is how to detect genetic signals beyond single markers/genes in order to explore their combined effects on mediating complex diseases and traits. Integrative testing of GWAS association data with that from prior-knowledge databases and proteome studies has recently gained attention. These methodologies may hold promise for comprehensively examining the interactions between genes underlying the pathogenesis of complex diseases.
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