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LocusTrack: Integrated visualization of GWAS results and genomic annotation
BACKGROUND: Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci. RESULTS: We developed LocusTrack, a web-b...
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/PMC4351846/ https://www.ncbi.nlm.nih.gov/pubmed/25750659 http://dx.doi.org/10.1186/s13029-015-0032-8 |
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author | Cuellar-Partida, Gabriel Renteria, Miguel E MacGregor, Stuart |
author_facet | Cuellar-Partida, Gabriel Renteria, Miguel E MacGregor, Stuart |
author_sort | Cuellar-Partida, Gabriel |
collection | PubMed |
description | BACKGROUND: Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci. RESULTS: We developed LocusTrack, a web-based application that annotates and creates plots of regional GWAS results and incorporates user-specified tracks that display annotations such as linkage disequilibrium (LD), phylogenetic conservation, chromatin state, and other genomic and regulatory elements. Currently, LocusTrack can integrate annotation tracks from the UCSC genome-browser as well as from any tracks provided by the user. CONCLUSION: LocusTrack is an easy-to-use application and can be accessed at the following URL: http://gump.qimr.edu.au/general/gabrieC/LocusTrack/. Users can upload and manage GWAS results and select from and/or provide annotation tracks using simple and intuitive menus. LocusTrack scripts and associated data can be downloaded from the website and run locally. |
format | Online Article Text |
id | pubmed-4351846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43518462015-03-07 LocusTrack: Integrated visualization of GWAS results and genomic annotation Cuellar-Partida, Gabriel Renteria, Miguel E MacGregor, Stuart Source Code Biol Med Software BACKGROUND: Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci. RESULTS: We developed LocusTrack, a web-based application that annotates and creates plots of regional GWAS results and incorporates user-specified tracks that display annotations such as linkage disequilibrium (LD), phylogenetic conservation, chromatin state, and other genomic and regulatory elements. Currently, LocusTrack can integrate annotation tracks from the UCSC genome-browser as well as from any tracks provided by the user. CONCLUSION: LocusTrack is an easy-to-use application and can be accessed at the following URL: http://gump.qimr.edu.au/general/gabrieC/LocusTrack/. Users can upload and manage GWAS results and select from and/or provide annotation tracks using simple and intuitive menus. LocusTrack scripts and associated data can be downloaded from the website and run locally. BioMed Central 2015-02-03 /pmc/articles/PMC4351846/ /pubmed/25750659 http://dx.doi.org/10.1186/s13029-015-0032-8 Text en © Cuellar-Partida et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Cuellar-Partida, Gabriel Renteria, Miguel E MacGregor, Stuart LocusTrack: Integrated visualization of GWAS results and genomic annotation |
title | LocusTrack: Integrated visualization of GWAS results and genomic annotation |
title_full | LocusTrack: Integrated visualization of GWAS results and genomic annotation |
title_fullStr | LocusTrack: Integrated visualization of GWAS results and genomic annotation |
title_full_unstemmed | LocusTrack: Integrated visualization of GWAS results and genomic annotation |
title_short | LocusTrack: Integrated visualization of GWAS results and genomic annotation |
title_sort | locustrack: integrated visualization of gwas results and genomic annotation |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351846/ https://www.ncbi.nlm.nih.gov/pubmed/25750659 http://dx.doi.org/10.1186/s13029-015-0032-8 |
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