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LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS
Genome-wide association studies (GWAS) have primarily identified trait-associated loci in the non-coding genome. Colocalization analyses of SNP associations from GWAS with expression quantitative trait loci (eQTL) evidence enable the generation of hypotheses about responsible mechanism, genes and ti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608978/ https://www.ncbi.nlm.nih.gov/pubmed/33090994 http://dx.doi.org/10.1371/journal.pcbi.1008336 |
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author | Panjwani, Naim Wang, Fan Mastromatteo, Scott Bao, Allen Wang, Cheng He, Gengming Gong, Jiafen Rommens, Johanna M. Sun, Lei Strug, Lisa J. |
author_facet | Panjwani, Naim Wang, Fan Mastromatteo, Scott Bao, Allen Wang, Cheng He, Gengming Gong, Jiafen Rommens, Johanna M. Sun, Lei Strug, Lisa J. |
author_sort | Panjwani, Naim |
collection | PubMed |
description | Genome-wide association studies (GWAS) have primarily identified trait-associated loci in the non-coding genome. Colocalization analyses of SNP associations from GWAS with expression quantitative trait loci (eQTL) evidence enable the generation of hypotheses about responsible mechanism, genes and tissues of origin to guide functional characterization. Here, we present a web-based colocalization browsing and testing tool named LocusFocus (https://locusfocus.research.sickkids.ca). LocusFocus formally tests colocalization using our established Simple Sum method to identify the most relevant genes and tissues for a particular GWAS locus in the presence of high linkage disequilibrium and/or allelic heterogeneity. We demonstrate the utility of LocusFocus, following up on a genome-wide significant locus from a GWAS of meconium ileus (an intestinal obstruction in cystic fibrosis). Using LocusFocus for colocalization analysis with eQTL data suggests variation in ATP12A gene expression in the pancreas rather than intestine is responsible for the GWAS locus. LocusFocus has no operating system dependencies and may be installed in a local web server. LocusFocus is available under the MIT license, with full documentation and source code accessible on GitHub at https://github.com/naim-panjwani/LocusFocus. |
format | Online Article Text |
id | pubmed-7608978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76089782020-11-10 LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS Panjwani, Naim Wang, Fan Mastromatteo, Scott Bao, Allen Wang, Cheng He, Gengming Gong, Jiafen Rommens, Johanna M. Sun, Lei Strug, Lisa J. PLoS Comput Biol Research Article Genome-wide association studies (GWAS) have primarily identified trait-associated loci in the non-coding genome. Colocalization analyses of SNP associations from GWAS with expression quantitative trait loci (eQTL) evidence enable the generation of hypotheses about responsible mechanism, genes and tissues of origin to guide functional characterization. Here, we present a web-based colocalization browsing and testing tool named LocusFocus (https://locusfocus.research.sickkids.ca). LocusFocus formally tests colocalization using our established Simple Sum method to identify the most relevant genes and tissues for a particular GWAS locus in the presence of high linkage disequilibrium and/or allelic heterogeneity. We demonstrate the utility of LocusFocus, following up on a genome-wide significant locus from a GWAS of meconium ileus (an intestinal obstruction in cystic fibrosis). Using LocusFocus for colocalization analysis with eQTL data suggests variation in ATP12A gene expression in the pancreas rather than intestine is responsible for the GWAS locus. LocusFocus has no operating system dependencies and may be installed in a local web server. LocusFocus is available under the MIT license, with full documentation and source code accessible on GitHub at https://github.com/naim-panjwani/LocusFocus. Public Library of Science 2020-10-22 /pmc/articles/PMC7608978/ /pubmed/33090994 http://dx.doi.org/10.1371/journal.pcbi.1008336 Text en © 2020 Panjwani et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Panjwani, Naim Wang, Fan Mastromatteo, Scott Bao, Allen Wang, Cheng He, Gengming Gong, Jiafen Rommens, Johanna M. Sun, Lei Strug, Lisa J. LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS |
title | LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS |
title_full | LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS |
title_fullStr | LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS |
title_full_unstemmed | LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS |
title_short | LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS |
title_sort | locusfocus: web-based colocalization for the annotation and functional follow-up of gwas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608978/ https://www.ncbi.nlm.nih.gov/pubmed/33090994 http://dx.doi.org/10.1371/journal.pcbi.1008336 |
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