CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation.

Published

Journal Article

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 of GWAS) to look for similarities between 700 traits, build trees with informative clusters, and highlight underlying pathways. Clusters are consistent with pre-defined groups and literature-based validation but also reveal novel connections. We report similarity between plasma palmitoleic acid and Crohn's disease and find that specific fatty acids exacerbate enterocolitis in zebrafish. CPAG will become increasingly powerful as more genetic variants are uncovered, leading to a deeper understanding of complex traits. CPAG is freely available at www.sourceforge.net/projects/CPAG/.

Full Text

Duke Authors

Cited Authors

  • Wang, L; Oehlers, SH; Espenschied, ST; Rawls, JF; Tobin, DM; Ko, DC

Published Date

  • September 15, 2015

Published In

Volume / Issue

  • 16 /

Start / End Page

  • 190 -

PubMed ID

  • 26374098

Pubmed Central ID

  • 26374098

Electronic International Standard Serial Number (EISSN)

  • 1474-760X

International Standard Serial Number (ISSN)

  • 1474-7596

Digital Object Identifier (DOI)

  • 10.1186/s13059-015-0722-1

Language

  • eng