Genome biologyGenomicsPeer-reviewed journal article
Chromosome contacts in activated T cells identify autoimmune disease candidate genes
Oliver S. BurreniD, Arcadio Rubio GarcíaiD, Biola M. JavierreiD, Daniel B. RainbowiD, Jonathan CairnsiD, Nicholas J. CooperiD, John J. LambourneiD, Ellen C. SchofieldiD, Xaquín Castro DopicoiD, Ricardo C. FerreiraiD, Richard Coulson, Frances BurdeniD, Sophia Rowlston, Kate DownesiD, Steven WingettiD, Mattia FrontiniiD, Willem Hendrik OuwehandiD, Peter FraseriD, Mikhail SpivakoviD, John A. ToddiD, Linda S. WickeriD, Antony J. CutleriD, Chris WallaceiD
Abstract
BackgroundAutoimmune 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.\n\nResultsWithin four hours, 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.\n\nConclusionsOur systematic experimental framework offers an alternative approach to candidate causal gene identification for variants with cell state-specific functional effects, with achievable sample sizes.
- organism: human
- assay: ChIP-seq
- assay: Hi-C
- research focus: differential expression
- approach: statistical model
- Citations
- 80
- FWCI
- 3.57
- Field percentile
- top 6%
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