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LocusZoom.js: interactive and embeddable visualization of genetic association study results

SUMMARY: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of...

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Detalles Bibliográficos
Autores principales: Boughton, Andrew P, Welch, Ryan P, Flickinger, Matthew, VandeHaar, Peter, Taliun, Daniel, Abecasis, Gonçalo R, Boehnke, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479674/
https://www.ncbi.nlm.nih.gov/pubmed/33734315
http://dx.doi.org/10.1093/bioinformatics/btab186
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author Boughton, Andrew P
Welch, Ryan P
Flickinger, Matthew
VandeHaar, Peter
Taliun, Daniel
Abecasis, Gonçalo R
Boehnke, Michael
author_facet Boughton, Andrew P
Welch, Ryan P
Flickinger, Matthew
VandeHaar, Peter
Taliun, Daniel
Abecasis, Gonçalo R
Boehnke, Michael
author_sort Boughton, Andrew P
collection PubMed
description SUMMARY: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of analysis models (by selecting linkage disequilibrium reference panels, identifying sets of likely causal variants, or comparisons to the GWAS catalog). It can be embedded in web pages to enable data sharing and exploration. Views can be customized and extended to display other data types such as phenome-wide association study (PheWAS) results, chromatin co-accessibility, or eQTL measurements. A new web upload service harmonizes datasets, adds annotations, and makes it easy to explore user-provided result sets. AVAILABILITY AND IMPLEMENTATION: LocusZoom.js is open-source software under a permissive MIT license. Code and documentation are available at: https://github.com/statgen/locuszoom/. Installable packages for all versions are also distributed via NPM. Additional features are provided as standalone libraries to promote reuse. Use with your own GWAS results at https://my.locuszoom.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-84796742021-09-30 LocusZoom.js: interactive and embeddable visualization of genetic association study results Boughton, Andrew P Welch, Ryan P Flickinger, Matthew VandeHaar, Peter Taliun, Daniel Abecasis, Gonçalo R Boehnke, Michael Bioinformatics Applications Notes SUMMARY: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of analysis models (by selecting linkage disequilibrium reference panels, identifying sets of likely causal variants, or comparisons to the GWAS catalog). It can be embedded in web pages to enable data sharing and exploration. Views can be customized and extended to display other data types such as phenome-wide association study (PheWAS) results, chromatin co-accessibility, or eQTL measurements. A new web upload service harmonizes datasets, adds annotations, and makes it easy to explore user-provided result sets. AVAILABILITY AND IMPLEMENTATION: LocusZoom.js is open-source software under a permissive MIT license. Code and documentation are available at: https://github.com/statgen/locuszoom/. Installable packages for all versions are also distributed via NPM. Additional features are provided as standalone libraries to promote reuse. Use with your own GWAS results at https://my.locuszoom.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-03-18 /pmc/articles/PMC8479674/ /pubmed/33734315 http://dx.doi.org/10.1093/bioinformatics/btab186 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Boughton, Andrew P
Welch, Ryan P
Flickinger, Matthew
VandeHaar, Peter
Taliun, Daniel
Abecasis, Gonçalo R
Boehnke, Michael
LocusZoom.js: interactive and embeddable visualization of genetic association study results
title LocusZoom.js: interactive and embeddable visualization of genetic association study results
title_full LocusZoom.js: interactive and embeddable visualization of genetic association study results
title_fullStr LocusZoom.js: interactive and embeddable visualization of genetic association study results
title_full_unstemmed LocusZoom.js: interactive and embeddable visualization of genetic association study results
title_short LocusZoom.js: interactive and embeddable visualization of genetic association study results
title_sort locuszoom.js: interactive and embeddable visualization of genetic association study results
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479674/
https://www.ncbi.nlm.nih.gov/pubmed/33734315
http://dx.doi.org/10.1093/bioinformatics/btab186
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