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eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals
BACKGROUND: Genomic studies increasingly integrate expression quantitative trait loci (eQTL) information into their analysis pipelines, but few tools exist for the visualization of colocalization between eQTL and GWAS results. Those tools that do exist are limited in their analysis options, and do n...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285863/ https://www.ncbi.nlm.nih.gov/pubmed/34273980 http://dx.doi.org/10.1186/s13040-021-00267-6 |
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author | Drivas, Theodore G. Lucas, Anastasia Ritchie, Marylyn D. |
author_facet | Drivas, Theodore G. Lucas, Anastasia Ritchie, Marylyn D. |
author_sort | Drivas, Theodore G. |
collection | PubMed |
description | BACKGROUND: Genomic studies increasingly integrate expression quantitative trait loci (eQTL) information into their analysis pipelines, but few tools exist for the visualization of colocalization between eQTL and GWAS results. Those tools that do exist are limited in their analysis options, and do not integrate eQTL and GWAS information into a single figure panel, making the visualization of colocalization difficult. RESULTS: To address this issue, we developed the intuitive and user-friendly R package eQTpLot. eQTpLot takes as input standard GWAS and cis-eQTL summary statistics, and optional pairwise LD information, to generate a series of plots visualizing colocalization, correlation, and enrichment between eQTL and GWAS signals for a given gene-trait pair. With eQTpLot, investigators can easily generate a series of customizable plots clearly illustrating, for a given gene-trait pair: 1) colocalization between GWAS and eQTL signals, 2) correlation between GWAS and eQTL p-values, 3) enrichment of eQTLs among trait-significant variants, 4) the LD landscape of the locus in question, and 5) the relationship between the direction of effect of eQTL signals and the direction of effect of colocalizing GWAS peaks. These clear and comprehensive plots provide a unique view of eQTL-GWAS colocalization, allowing for a more complete understanding of the interaction between gene expression and trait associations. CONCLUSIONS: eQTpLot provides a unique, user-friendly, and intuitive means of visualizing eQTL and GWAS signal colocalization, incorporating novel features not found in other eQTL visualization software. We believe eQTpLot will prove a useful tool for investigators seeking a convenient and customizable visualization of eQTL and GWAS data colocalization. AVAILABILITY AND IMPLEMENTATION: the eQTpLot R package and tutorial are available at https://github.com/RitchieLab/eQTpLot |
format | Online Article Text |
id | pubmed-8285863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82858632021-07-19 eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals Drivas, Theodore G. Lucas, Anastasia Ritchie, Marylyn D. BioData Min Software Article BACKGROUND: Genomic studies increasingly integrate expression quantitative trait loci (eQTL) information into their analysis pipelines, but few tools exist for the visualization of colocalization between eQTL and GWAS results. Those tools that do exist are limited in their analysis options, and do not integrate eQTL and GWAS information into a single figure panel, making the visualization of colocalization difficult. RESULTS: To address this issue, we developed the intuitive and user-friendly R package eQTpLot. eQTpLot takes as input standard GWAS and cis-eQTL summary statistics, and optional pairwise LD information, to generate a series of plots visualizing colocalization, correlation, and enrichment between eQTL and GWAS signals for a given gene-trait pair. With eQTpLot, investigators can easily generate a series of customizable plots clearly illustrating, for a given gene-trait pair: 1) colocalization between GWAS and eQTL signals, 2) correlation between GWAS and eQTL p-values, 3) enrichment of eQTLs among trait-significant variants, 4) the LD landscape of the locus in question, and 5) the relationship between the direction of effect of eQTL signals and the direction of effect of colocalizing GWAS peaks. These clear and comprehensive plots provide a unique view of eQTL-GWAS colocalization, allowing for a more complete understanding of the interaction between gene expression and trait associations. CONCLUSIONS: eQTpLot provides a unique, user-friendly, and intuitive means of visualizing eQTL and GWAS signal colocalization, incorporating novel features not found in other eQTL visualization software. We believe eQTpLot will prove a useful tool for investigators seeking a convenient and customizable visualization of eQTL and GWAS data colocalization. AVAILABILITY AND IMPLEMENTATION: the eQTpLot R package and tutorial are available at https://github.com/RitchieLab/eQTpLot BioMed Central 2021-07-17 /pmc/articles/PMC8285863/ /pubmed/34273980 http://dx.doi.org/10.1186/s13040-021-00267-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Article Drivas, Theodore G. Lucas, Anastasia Ritchie, Marylyn D. eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals |
title | eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals |
title_full | eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals |
title_fullStr | eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals |
title_full_unstemmed | eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals |
title_short | eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals |
title_sort | eqtplot: a user-friendly r package for the visualization of colocalization between eqtl and gwas signals |
topic | Software Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285863/ https://www.ncbi.nlm.nih.gov/pubmed/34273980 http://dx.doi.org/10.1186/s13040-021-00267-6 |
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