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Article

Capture Hi-C reveals novel candidate genes and complex long-range interactions with related autoimmune risk loci.

Nature communications - 30 Nov 2015

Martin Paul, McGovern Amanda, Orozco Gisela, Duffus Kate, Yarwood Annie, Schoenfelder Stefan, Cooper Nicholas J, Barton Anne, Wallace Chris, Fraser Peter, Worthington Jane, Eyre Steve

Abstract excerpt

Genome-wide association studies have been tremendously successful in identifying genetic variants associated with complex diseases. The majority of association signals are intergenic and evidence is accumulating that a high proportion of signals lie in enhancer regions. We use Capture Hi-C to investigate, for the first time, the interactions between associated variants for four autoimmune diseases and their...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Genetic Predisposition to Disease

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Share to Polymorphism, Single Nucleotide

Share to Promoter Regions, Genetic

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Source

Open in PubMed Open full text

Identifiers

PMID: 26616563
DOI: 10.1038/ncomms10069
PMCID: PMC4674669

Genes

AZI2
DEXI
FOXO1
PTPRC

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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Capture Hi-C reveals novel candidate genes and complex long-range interactions with related autoimmune risk loci.PMID 26616563Read ↗

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Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis.Semantic proximity Read ↗

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