Title |
CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation
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Published in |
Genome Biology, September 2015
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DOI | 10.1186/s13059-015-0722-1 |
Pubmed ID | |
Authors |
Liuyang Wang, Stefan H. Oehlers, Scott T. Espenschied, John F. Rawls, David M. Tobin, Dennis C. Ko |
Abstract |
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/ . |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 5 | 56% |
United Kingdom | 2 | 22% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 67% |
Scientists | 2 | 22% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 2% |
Unknown | 57 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 17 | 29% |
Student > Ph. D. Student | 15 | 26% |
Student > Bachelor | 3 | 5% |
Professor > Associate Professor | 3 | 5% |
Student > Doctoral Student | 2 | 3% |
Other | 4 | 7% |
Unknown | 14 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 22% |
Agricultural and Biological Sciences | 10 | 17% |
Computer Science | 6 | 10% |
Medicine and Dentistry | 4 | 7% |
Engineering | 3 | 5% |
Other | 5 | 9% |
Unknown | 17 | 29% |