Journal article
Chromosome contacts in activated T cells identify autoimmune disease candidate genes
- Abstract:
- 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.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.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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.3MB, Terms of use)
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- Publisher copy:
- 10.1186/s13059-017-1285-0
Authors
+ European Union
More from this funder
- Grant:
- FP7/2007-2013 under grant agreement no. 241447 (NAIMIT
- Publisher:
- BioMed Central
- Journal:
- Genome Biology More from this journal
- Volume:
- 18
- Issue:
- 1
- Article number:
- 165
- Publication date:
- 2017-09-04
- Acceptance date:
- 2017-07-21
- DOI:
- ISSN:
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1474-760X
- Pmid:
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28870212
- Language:
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English
- Keywords:
- Pubs id:
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pubs:725727
- UUID:
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uuid:d519249a-202f-42ad-a20d-faee92741afd
- Local pid:
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pubs:725727
- Source identifiers:
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725727
- Deposit date:
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2017-09-07
Terms of use
- Copyright holder:
- Burren et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 The Authors. This 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.
- Licence:
- CC Attribution (CC BY)
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