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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4788823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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