CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation.
作者： Liuyang Wang , Stefan H. Oehlers , Scott T. Espenschied , John F. Rawls , David M. Tobin
DOI: 10.1186/S13059-015-0722-1
关键词:
摘要: Meta-analyses of genome-wide association studies (GWAS) have demonstrated that the same genetic variants can be associated with multiple diseases and other complex traits. We present software called CPAG (Cross-Phenotype Analysis GWAS) to look for similarities between 700 traits, build trees informative clusters, highlight underlying pathways. Clusters are consistent pre-defined groups literature-based validation but also reveal novel connections. report similarity plasma palmitoleic acid Crohn's disease find specific fatty acids exacerbate enterocolitis in zebrafish. will become increasingly powerful as more uncovered, leading a deeper understanding is freely available at www.sourceforge.net/projects/CPAG/.
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