TY - JOUR
T1 - Human pancreatic islet three-dimensional chromatin architecture provides insights into the genetics of type 2 diabetes
AU - Miguel-Escalada, Irene
AU - Bonàs-Guarch, Silvia
AU - Cebola, Inês
AU - Ponsa-Cobas, Joan
AU - Mendieta-Esteban, Julen
AU - Atla, Goutham
AU - Javierre, Biola M
AU - Rolando, Delphine M Y
AU - Farabella, Irene
AU - Morgan, Claire C
AU - García-Hurtado, Javier
AU - Beucher, Anthony
AU - Morán, Ignasi
AU - Pasquali, Lorenzo
AU - Ramos-Rodríguez, Mireia
AU - Appel, Emil V. R.
AU - Linneberg, Allan
AU - Gjesing, Anette P.
AU - Witte, Daniel R
AU - Pedersen, Oluf
AU - Grarup, Niels
AU - Ravassard, Philippe
AU - Torrents, David
AU - Mercader, Josep M
AU - Piemonti, Lorenzo
AU - Berney, Thierry
AU - de Koning, Eelco J P
AU - Kerr-Conte, Julie
AU - Pattou, François
AU - Fedko, Iryna O
AU - Groop, Leif
AU - Prokopenko, Inga
AU - Hansen, Torben
AU - Marti-Renom, Marc A
AU - Fraser, Peter
AU - Ferrer, Jorge
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
U2 - 10.1038/s41588-019-0457-0
DO - 10.1038/s41588-019-0457-0
M3 - Journal article
C2 - 31253982
SN - 1061-4036
VL - 51
SP - 1137
EP - 1148
JO - Nature Genetics
JF - Nature Genetics
IS - 7
ER -