Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements.
Maxwell R MumbachAnsuman T SatpathyEvan August BoyleChao DaiBenjamin G GowenSeung Woo ChoMichelle L NguyenAdam J RubinJeffrey M GranjaKatelynn R KazaneYuning WeiTrieu NguyenPeyton G GreensideM Ryan CorcesJosh TyckoDimitre R SimeonovNabeela SulimanRui LiJin XuRyan A FlynnAnshul KundajePaul A KhavariAlexander MarsonJacob E CornThomas QuertermousWilliam J GreenleafHoward Y ChangPublished in: Nature genetics (2017)
The challenge of linking intergenic mutations to target genes has limited molecular understanding of human diseases. Here we show that H3K27ac HiChIP generates high-resolution contact maps of active enhancers and target genes in rare primary human T cell subtypes and coronary artery smooth muscle cells. Differentiation of naive T cells into T helper 17 cells or regulatory T cells creates subtype-specific enhancer-promoter interactions, specifically at regions of shared DNA accessibility. These data provide a principled means of assigning molecular functions to autoimmune and cardiovascular disease risk variants, linking hundreds of noncoding variants to putative gene targets. Target genes identified with HiChIP are further supported by CRISPR interference and activation at linked enhancers, by the presence of expression quantitative trait loci, and by allele-specific enhancer loops in patient-derived primary cells. The majority of disease-associated enhancers contact genes beyond the nearest gene in the linear genome, leading to a fourfold increase in the number of potential target genes for autoimmune and cardiovascular diseases.
Keyphrases
- genome wide
- dna methylation
- copy number
- genome wide identification
- cardiovascular disease
- regulatory t cells
- high resolution
- transcription factor
- coronary artery
- endothelial cells
- induced apoptosis
- bioinformatics analysis
- genome wide analysis
- binding protein
- single molecule
- gene expression
- type diabetes
- circulating tumor
- poor prognosis
- immune response
- cell cycle arrest
- coronary artery disease
- metabolic syndrome
- cell death
- cardiovascular events
- pluripotent stem cells
- signaling pathway
- artificial intelligence
- cell proliferation
- neural network
- long non coding rna
- cardiovascular risk factors