Nature CommunicationsGenomicsPeer-reviewed journal article
Pancreatic islet chromatin accessibility and conformation defines distal enhancer networks of type 2 diabetes risk
William W. Young GreenwaldiD, Joshua ChiouiD, Jian YaniD, Yunjiang QiuiD, Ning DaiiD, Allen WangiD, Naoki Nariai, Anthony AylwardiD, Jee Yun HaniD, Nikita KadakiaiD, Laura ReguéiD, Mei-Lin Okino, Frauke Drees, Dana Krämer, Nicholas K. Vinckier, Liliana MinichielloiD, David U. GorkiniD, Joseph AvruchiD, Kelly A. FrazeriD, Maike SanderiD, Bing ReniD, Kyle J. GaultoniD
Abstract
The gene targets of enhancer activity in pancreatic islets are largely unknown, impeding discovery of islet regulatory networks involved in type 2 diabetes (T2D) risk. We mapped chromatin state, accessibility and conformation using ChIP-seq, ATAC-seq and Hi-C in human pancreatic islets, which we integrated with T2D genetic fine-mapping and islet expression QTL data. Active islet regulatory elements preferentially interacted with other active elements, often at distances over 1MB, and we identified target genes for thousands of distal islet enhancers. A third of T2D risk signals mapped in islet enhancers, and target genes regulated by these signals were specifically involved in processes related to protein transport and secretion. Among implicated target genes of T2D islet enhancer signals with no prior known role in islet function, we demonstrated that reduced IGF2BP2 activity in mouse islets leads to impaired glucose-stimulated insulin secretion. These results link distal islet enhancer regulation of protein secretion and transport to genetic risk of T2D, and highlight the utility of high-throughput chromatin conformation maps to uncover the gene regulatory networks of complex disease.
- organism: human
- assay: ATAC-seq
- assay: ChIP-seq
- assay: Hi-C
- research focus: gene regulatory network inference
- research focus: GWAS / association mapping
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- approach: experimental assay
- Citations
- 119
- FWCI
- 5.63
- Field percentile
- top 3%
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