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      dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks.

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          Abstract

          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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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          Oxford University Press (OUP)
          1367-4811
          1367-4803
          Jan 01 2011
          : 27
          : 1
          Affiliations
          [1 ] Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37232, USA.
          Article
          btq615
          10.1093/bioinformatics/btq615
          3008643
          21045073
          fbf2f03d-1b2f-4fa9-865c-a0f7c70d948c
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