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CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570686/ https://www.ncbi.nlm.nih.gov/pubmed/26374098 http://dx.doi.org/10.1186/s13059-015-0722-1 |
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author | Wang, Liuyang Oehlers, Stefan H. Espenschied, Scott T. Rawls, John F. Tobin, David M. Ko, Dennis C. |
author_facet | Wang, Liuyang Oehlers, Stefan H. Espenschied, Scott T. Rawls, John F. Tobin, David M. Ko, Dennis C. |
author_sort | Wang, Liuyang |
collection | PubMed |
description | 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/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0722-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4570686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45706862015-09-16 CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation Wang, Liuyang Oehlers, Stefan H. Espenschied, Scott T. Rawls, John F. Tobin, David M. Ko, Dennis C. Genome Biol Software 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/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0722-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-15 2015 /pmc/articles/PMC4570686/ /pubmed/26374098 http://dx.doi.org/10.1186/s13059-015-0722-1 Text en © Wang et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Wang, Liuyang Oehlers, Stefan H. Espenschied, Scott T. Rawls, John F. Tobin, David M. Ko, Dennis C. CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
title | CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
title_full | CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
title_fullStr | CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
title_full_unstemmed | CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
title_short | CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
title_sort | cpag: software for leveraging pleiotropy in gwas to reveal similarity between human traits links plasma fatty acids and intestinal inflammation |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570686/ https://www.ncbi.nlm.nih.gov/pubmed/26374098 http://dx.doi.org/10.1186/s13059-015-0722-1 |
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