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Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci

Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci
Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci

Human genetic studies have emphasised the dominant contribution of pancreatic islet dysfunction to development of Type 2 Diabetes (T2D). However, limited annotation of the islet epigenome has constrained efforts to define the molecular mechanisms mediating the, largely regulatory, signals revealed by Genome-Wide Association Studies (GWAS). We characterised patterns of chromatin accessibility (ATAC-seq, n=17) and DNA methylation (whole-genome bisulphite sequencing, n=10) in human islets, generating high-resolution chromatin state maps through integration with established ChIP-seq marks. We found enrichment of GWAS signals for T2D and fasting glucose was concentrated in subsets of islet enhancers characterised by open chromatin and hypomethylation, with the former annotation predominant. At several loci (including CDC123, ADCY5, KLHDC5) the combination of fine-mapping genetic data and chromatin state enrichment maps, supplemented by allelic imbalance in chromatin accessibility pinpointed likely causal variants. The combination of increasingly-precise genetic and islet epigenomic information accelerates definition of causal mechanisms implicated in T2D pathogenesis.

Journal Article
2050-084X
Thurner, Matthias
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van de Bunt, Martijn
23582209-45ef-470b-a987-a774ce70917d
Torres, Jason M.
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Mahajan, Anubha
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Nylander, Vibe
65cd602a-5105-45be-85d0-6ec3ac6dbe22
Bennett, Amanda J.
332c940b-1d17-4c28-b451-91223aa163f7
Gaulton, Kyle J.
de15332d-8ac3-423d-bedc-e741412ca764
Barrett, Amy
267c7eca-6e24-403b-ba96-fc4429dbed3b
Burrows, Carla
cd6ca12d-8e44-4c33-9039-3c1563a4ebd9
Bell, Christopher G.
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Lowe, Robert
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Beck, Stephan
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Rakyan, Vardhman K.
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Gloyn, Anna L.
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McCarthy, Mark I.
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Thurner, Matthias
bb68ee22-87dc-4ad8-a88f-638a536c1fb1
van de Bunt, Martijn
23582209-45ef-470b-a987-a774ce70917d
Torres, Jason M.
4888c106-7d4b-47c1-b759-f8202f1d1a7c
Mahajan, Anubha
73f61a0d-2b8d-41bb-8c26-b117d65fe40b
Nylander, Vibe
65cd602a-5105-45be-85d0-6ec3ac6dbe22
Bennett, Amanda J.
332c940b-1d17-4c28-b451-91223aa163f7
Gaulton, Kyle J.
de15332d-8ac3-423d-bedc-e741412ca764
Barrett, Amy
267c7eca-6e24-403b-ba96-fc4429dbed3b
Burrows, Carla
cd6ca12d-8e44-4c33-9039-3c1563a4ebd9
Bell, Christopher G.
44982df7-0746-4cdb-bed1-0bdfe68f1a64
Lowe, Robert
0939e340-8ae4-4f27-a560-33545b392755
Beck, Stephan
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Rakyan, Vardhman K.
39c272f9-6ec7-4ac4-8c15-c80c8d936438
Gloyn, Anna L.
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McCarthy, Mark I.
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Thurner, Matthias, van de Bunt, Martijn, Torres, Jason M., Mahajan, Anubha, Nylander, Vibe, Bennett, Amanda J., Gaulton, Kyle J., Barrett, Amy, Burrows, Carla, Bell, Christopher G., Lowe, Robert, Beck, Stephan, Rakyan, Vardhman K., Gloyn, Anna L. and McCarthy, Mark I. (2018) Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci. eLife, 7, [e31977]. (doi:10.7554/eLife.31977).

Record type: Article

Abstract

Human genetic studies have emphasised the dominant contribution of pancreatic islet dysfunction to development of Type 2 Diabetes (T2D). However, limited annotation of the islet epigenome has constrained efforts to define the molecular mechanisms mediating the, largely regulatory, signals revealed by Genome-Wide Association Studies (GWAS). We characterised patterns of chromatin accessibility (ATAC-seq, n=17) and DNA methylation (whole-genome bisulphite sequencing, n=10) in human islets, generating high-resolution chromatin state maps through integration with established ChIP-seq marks. We found enrichment of GWAS signals for T2D and fasting glucose was concentrated in subsets of islet enhancers characterised by open chromatin and hypomethylation, with the former annotation predominant. At several loci (including CDC123, ADCY5, KLHDC5) the combination of fine-mapping genetic data and chromatin state enrichment maps, supplemented by allelic imbalance in chromatin accessibility pinpointed likely causal variants. The combination of increasingly-precise genetic and islet epigenomic information accelerates definition of causal mechanisms implicated in T2D pathogenesis.

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More information

Accepted/In Press date: 6 February 2018
e-pub ahead of print date: 7 February 2018
Keywords: Journal Article

Identifiers

Local EPrints ID: 418144
URI: http://eprints.soton.ac.uk/id/eprint/418144
ISSN: 2050-084X
PURE UUID: 25a7ed25-14bc-4928-96e6-d41368477b0b
ORCID for Christopher G. Bell: ORCID iD orcid.org/0000-0003-4601-1242

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Date deposited: 22 Feb 2018 17:30
Last modified: 15 Mar 2024 18:24

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Contributors

Author: Matthias Thurner
Author: Martijn van de Bunt
Author: Jason M. Torres
Author: Anubha Mahajan
Author: Vibe Nylander
Author: Amanda J. Bennett
Author: Kyle J. Gaulton
Author: Amy Barrett
Author: Carla Burrows
Author: Christopher G. Bell ORCID iD
Author: Robert Lowe
Author: Stephan Beck
Author: Vardhman K. Rakyan
Author: Anna L. Gloyn
Author: Mark I. McCarthy

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