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Chromosome contacts in activated T cells identify autoimmune disease candidate genes
BACKGROUND: Autoimmune disease-associated variants are preferentially found in regulatory regions in immune cells, particularly CD4(+) T cells. Linking such regulatory regions to gene promoters in disease-relevant cell contexts facilitates identification of candidate disease genes. RESULTS: Within 4...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5584004/ https://www.ncbi.nlm.nih.gov/pubmed/28870212 http://dx.doi.org/10.1186/s13059-017-1285-0 |
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author | Burren, Oliver S. Rubio García, Arcadio Javierre, Biola-Maria Rainbow, Daniel B. Cairns, Jonathan Cooper, Nicholas J. Lambourne, John J. Schofield, Ellen Castro Dopico, Xaquin Ferreira, Ricardo C. Coulson, Richard Burden, Frances Rowlston, Sophia P. Downes, Kate Wingett, Steven W. Frontini, Mattia Ouwehand, Willem H. Fraser, Peter Spivakov, Mikhail Todd, John A. Wicker, Linda S. Cutler, Antony J. Wallace, Chris |
author_facet | Burren, Oliver S. Rubio García, Arcadio Javierre, Biola-Maria Rainbow, Daniel B. Cairns, Jonathan Cooper, Nicholas J. Lambourne, John J. Schofield, Ellen Castro Dopico, Xaquin Ferreira, Ricardo C. Coulson, Richard Burden, Frances Rowlston, Sophia P. Downes, Kate Wingett, Steven W. Frontini, Mattia Ouwehand, Willem H. Fraser, Peter Spivakov, Mikhail Todd, John A. Wicker, Linda S. Cutler, Antony J. Wallace, Chris |
author_sort | Burren, Oliver S. |
collection | PubMed |
description | BACKGROUND: Autoimmune disease-associated variants are preferentially found in regulatory regions in immune cells, particularly CD4(+) T cells. Linking such regulatory regions to gene promoters in disease-relevant cell contexts facilitates identification of candidate disease genes. RESULTS: Within 4 h, activation of CD4(+) T cells invokes changes in histone modifications and enhancer RNA transcription that correspond to altered expression of the interacting genes identified by promoter capture Hi-C. By integrating promoter capture Hi-C data with genetic associations for five autoimmune diseases, we prioritised 245 candidate genes with a median distance from peak signal to prioritised gene of 153 kb. Just under half (108/245) prioritised genes related to activation-sensitive interactions. This included IL2RA, where allele-specific expression analyses were consistent with its interaction-mediated regulation, illustrating the utility of the approach. CONCLUSIONS: Our systematic experimental framework offers an alternative approach to candidate causal gene identification for variants with cell state-specific functional effects, with achievable sample sizes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1285-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5584004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55840042017-09-06 Chromosome contacts in activated T cells identify autoimmune disease candidate genes Burren, Oliver S. Rubio García, Arcadio Javierre, Biola-Maria Rainbow, Daniel B. Cairns, Jonathan Cooper, Nicholas J. Lambourne, John J. Schofield, Ellen Castro Dopico, Xaquin Ferreira, Ricardo C. Coulson, Richard Burden, Frances Rowlston, Sophia P. Downes, Kate Wingett, Steven W. Frontini, Mattia Ouwehand, Willem H. Fraser, Peter Spivakov, Mikhail Todd, John A. Wicker, Linda S. Cutler, Antony J. Wallace, Chris Genome Biol Research BACKGROUND: Autoimmune disease-associated variants are preferentially found in regulatory regions in immune cells, particularly CD4(+) T cells. Linking such regulatory regions to gene promoters in disease-relevant cell contexts facilitates identification of candidate disease genes. RESULTS: Within 4 h, activation of CD4(+) T cells invokes changes in histone modifications and enhancer RNA transcription that correspond to altered expression of the interacting genes identified by promoter capture Hi-C. By integrating promoter capture Hi-C data with genetic associations for five autoimmune diseases, we prioritised 245 candidate genes with a median distance from peak signal to prioritised gene of 153 kb. Just under half (108/245) prioritised genes related to activation-sensitive interactions. This included IL2RA, where allele-specific expression analyses were consistent with its interaction-mediated regulation, illustrating the utility of the approach. CONCLUSIONS: Our systematic experimental framework offers an alternative approach to candidate causal gene identification for variants with cell state-specific functional effects, with achievable sample sizes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1285-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-04 /pmc/articles/PMC5584004/ /pubmed/28870212 http://dx.doi.org/10.1186/s13059-017-1285-0 Text en © The Author(s). 2017 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 | Research Burren, Oliver S. Rubio García, Arcadio Javierre, Biola-Maria Rainbow, Daniel B. Cairns, Jonathan Cooper, Nicholas J. Lambourne, John J. Schofield, Ellen Castro Dopico, Xaquin Ferreira, Ricardo C. Coulson, Richard Burden, Frances Rowlston, Sophia P. Downes, Kate Wingett, Steven W. Frontini, Mattia Ouwehand, Willem H. Fraser, Peter Spivakov, Mikhail Todd, John A. Wicker, Linda S. Cutler, Antony J. Wallace, Chris Chromosome contacts in activated T cells identify autoimmune disease candidate genes |
title | Chromosome contacts in activated T cells identify autoimmune disease candidate genes |
title_full | Chromosome contacts in activated T cells identify autoimmune disease candidate genes |
title_fullStr | Chromosome contacts in activated T cells identify autoimmune disease candidate genes |
title_full_unstemmed | Chromosome contacts in activated T cells identify autoimmune disease candidate genes |
title_short | Chromosome contacts in activated T cells identify autoimmune disease candidate genes |
title_sort | chromosome contacts in activated t cells identify autoimmune disease candidate genes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5584004/ https://www.ncbi.nlm.nih.gov/pubmed/28870212 http://dx.doi.org/10.1186/s13059-017-1285-0 |
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