Pancreatic Islet Chromatin Accessibility and Conformation Reveals Distal Enhancer Networks of Type 2 Diabetes Risk

William W Greenwald, Joshua Chiou, Jian Yan, Yunjiang Qiu, Ning Dai, Allen Wang, Naoki Nariai, Anthony Aylward, Jee Yun Han, Nikita Kadakia, Laura Barrufet, Mei-Lin Okino, Frauke Drees, Nicholas Vinckier, Liliana Minichiello, David Gorkin, Joseph Avruch, Kelly Frazer, Maike Sander, Bing Ren, Kyle Gaulton.
Nature Communications. 2019-05-07;10, Article number: 2078 (2019)
Abstract
Genetic variants affecting pancreatic islet enhancers are central to T2D risk, but the gene targets of islet enhancer activity are largely unknown. We generate a high-resolution map of islet chromatin loops using Hi-C assays in three islet samples and use loops to annotate target genes of islet enhancers defined using ATAC-seq and published ChIP-seq data. We identify candidate target genes for thousands of islet enhancers, and find that enhancer looping is correlated with islet-specific gene expression. We fine-map T2D risk variants affecting islet enhancers, and find that candidate target genes of these variants defined using chromatin looping and eQTL mapping are enriched in protein transport and secretion pathways. At IGF2BP2, a fine-mapped T2D variant reduces islet enhancer activity and IGF2BP2 expression, and conditional inactivation of IGF2BP2 in mouse islets impairs glucose-stimulated insulin secretion. Our findings provide a resource for studying islet enhancer function and identifying genes involved in T2D risk.
Consortium data used in this publication
The data in this study are available under accession numbers PRJN527099, TSTSR043623, and TSTSR081148. The source data underlying Figs. 2a, c–f, 3f, h, ​,4a,4a, 5b–e, Supplementary Fig. 1a, Supplementary Figs. 1c, 2f–h, 3c, 5b, 6b, c are in the Source Data File; other data for figures are in supplementary tables and data. All other data are contained within the article and its supplementary information or upon reasonable request from the corresponding author.