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HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants

BACKGROUND: Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with complex traits and diseases. However, most of them are located in the non-protein coding regions, and therefore it is challenging to hypothesize the functions of these non-coding GWAS var...

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Autores principales: Xu, Zheng, Zhang, Guosheng, Duan, Qing, Chai, Shengjie, Zhang, Baqun, Wu, Cong, Jin, Fulai, Yue, Feng, Li, Yun, Hu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788823/
https://www.ncbi.nlm.nih.gov/pubmed/26969411
http://dx.doi.org/10.1186/s13104-016-1947-0
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author Xu, Zheng
Zhang, Guosheng
Duan, Qing
Chai, Shengjie
Zhang, Baqun
Wu, Cong
Jin, Fulai
Yue, Feng
Li, Yun
Hu, Ming
author_facet Xu, Zheng
Zhang, Guosheng
Duan, Qing
Chai, Shengjie
Zhang, Baqun
Wu, Cong
Jin, Fulai
Yue, Feng
Li, Yun
Hu, Ming
author_sort Xu, Zheng
collection PubMed
description BACKGROUND: Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with complex traits and diseases. However, most of them are located in the non-protein coding regions, and therefore it is challenging to hypothesize the functions of these non-coding GWAS variants. Recent large efforts such as the ENCODE and Roadmap Epigenomics projects have predicted a large number of regulatory elements. However, the target genes of these regulatory elements remain largely unknown. Chromatin conformation capture based technologies such as Hi-C can directly measure the chromatin interactions and have generated an increasingly comprehensive catalog of the interactome between the distal regulatory elements and their potential target genes. Leveraging such information revealed by Hi-C holds the promise of elucidating the functions of genetic variants in human diseases. RESULTS: In this work, we present HiView, the first integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants. HiView is able to display Hi-C data and statistical evidence for chromatin interactions in genomic regions surrounding any given GWAS variant, enabling straightforward visualization and interpretation. CONCLUSIONS: We believe that as the first GWAS variants-centered Hi-C genome browser, HiView is a useful tool guiding post-GWAS functional genomics studies. HiView is freely accessible at: http://www.unc.edu/~yunmli/HiView. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-016-1947-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-47888232016-03-13 HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants Xu, Zheng Zhang, Guosheng Duan, Qing Chai, Shengjie Zhang, Baqun Wu, Cong Jin, Fulai Yue, Feng Li, Yun Hu, Ming BMC Res Notes Technical Note BACKGROUND: Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with complex traits and diseases. However, most of them are located in the non-protein coding regions, and therefore it is challenging to hypothesize the functions of these non-coding GWAS variants. Recent large efforts such as the ENCODE and Roadmap Epigenomics projects have predicted a large number of regulatory elements. However, the target genes of these regulatory elements remain largely unknown. Chromatin conformation capture based technologies such as Hi-C can directly measure the chromatin interactions and have generated an increasingly comprehensive catalog of the interactome between the distal regulatory elements and their potential target genes. Leveraging such information revealed by Hi-C holds the promise of elucidating the functions of genetic variants in human diseases. RESULTS: In this work, we present HiView, the first integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants. HiView is able to display Hi-C data and statistical evidence for chromatin interactions in genomic regions surrounding any given GWAS variant, enabling straightforward visualization and interpretation. CONCLUSIONS: We believe that as the first GWAS variants-centered Hi-C genome browser, HiView is a useful tool guiding post-GWAS functional genomics studies. HiView is freely accessible at: http://www.unc.edu/~yunmli/HiView. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-016-1947-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-11 /pmc/articles/PMC4788823/ /pubmed/26969411 http://dx.doi.org/10.1186/s13104-016-1947-0 Text en © Xu et al. 2016 Open AccessThis 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 Technical Note
Xu, Zheng
Zhang, Guosheng
Duan, Qing
Chai, Shengjie
Zhang, Baqun
Wu, Cong
Jin, Fulai
Yue, Feng
Li, Yun
Hu, Ming
HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
title HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
title_full HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
title_fullStr HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
title_full_unstemmed HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
title_short HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
title_sort hiview: an integrative genome browser to leverage hi-c results for the interpretation of gwas variants
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788823/
https://www.ncbi.nlm.nih.gov/pubmed/26969411
http://dx.doi.org/10.1186/s13104-016-1947-0
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