Human pancreatic islet three-dimensional chromatin architecture provides insights into the genetics of type 2 diabetes

Irene Miguel-Escalada(National Institute for Health Research), Sílvia Bonàs‐Guarch(National Institute for Health Research), Inês Cebola(National Institute for Health Research), Joan Ponsa-Cobas(National Institute for Health Research), Julen Mendieta-Esteban(Centre for Genomic Regulation), Goutham Atla(National Institute for Health Research), Biola M. Javierre(Babraham Institute), Delphine Rolando(National Institute for Health Research), Irene Farabella(Centre for Genomic Regulation), Claire C. Morgan(National Institute for Health Research), Javier García-Hurtado(Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas), Anthony Beucher(National Institute for Health Research), Ignasi Morán(Barcelona Supercomputing Center), Lorenzo Pasquali(Josep Carreras Leukaemia Research Institute), Mireia Ramos-Rodríguez, Emil V. R. Appel(University of Copenhagen), Allan Linneberg(University of Copenhagen), Anette P. Gjesing(University of Copenhagen), Daniel R. Witte(Aarhus University), Oluf Pedersen(University of Copenhagen), Niels Grarup(University of Copenhagen), Philippe Ravassard(Centre National de la Recherche Scientifique), David Torrents(Institució Catalana de Recerca i Estudis Avançats), Josep M. Mercader(Broad Institute), Lorenzo Piemonti(Vita-Salute San Raffaele University), Thierry Berney(University of Geneva), Eelco J.P. de Koning(Leiden University Medical Center), Julie Kerr‐Conte(European Genomic Institute for Diabetes), François Pattou(European Genomic Institute for Diabetes), Iryna O. Fedko(Vrije Universiteit Amsterdam), Leif Groop(Lund University), Inga Prokopenko(University of Surrey), Torben Hansen(University of Copenhagen), Marc A. Martı́-Renom(Institució Catalana de Recerca i Estudis Avançats), Peter Fraser(Florida State University), Jorge Ferrer(National Institute for Health Research)
Nature Genetics
June 28, 2019
Cited by 302Open Access
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Abstract

Genetic studies promise to provide insight into the molecular mechanisms underlying type 2 diabetes (T2D). Variants associated with T2D are often located in tissue-specific enhancer clusters or super-enhancers. So far, such domains have been defined through clustering of enhancers in linear genome maps rather than in three-dimensional (3D) space. Furthermore, their target genes are often unknown. We have created promoter capture Hi-C maps in human pancreatic islets. This linked diabetes-associated enhancers to their target genes, often located hundreds of kilobases away. It also revealed >1,300 groups of islet enhancers, super-enhancers and active promoters that form 3D hubs, some of which show coordinated glucose-dependent activity. We demonstrate that genetic variation in hubs impacts insulin secretion heritability, and show that hub annotations can be used for polygenic scores that predict T2D risk driven by islet regulatory variants. Human islet 3D chromatin architecture, therefore, provides a framework for interpretation of T2D genome-wide association study (GWAS) signals.


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