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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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
Descripción
Sumario: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.