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

  1. Matthias Thurner
  2. Martijn van de Bunt
  3. Jason M Torres
  4. Anubha Mahajan
  5. Vibe Nylander
  6. Amanda J Bennett
  7. Kyle J Gaulton
  8. Amy Barrett
  9. Carla Burrows
  10. Christopher G Bell
  11. Robert Lowe
  12. Stephan Beck
  13. Vardhman K Rakyan
  14. Anna L Gloyn
  15. Mark I McCarthy  Is a corresponding author
  1. University of Oxford, United Kingdom
  2. University of California, San Diego, United States
  3. Kings College London, United Kingdom
  4. Barts and The London School of Medicine and Dentistry, United Kingdom
  5. University College London, United Kingdom

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.

Data availability

The following data sets were generated
    1. M Thurner et al
    (2017) Islet open chromatin data
    Available through controlled access at the EGA website (study accession no: EGAS00001002592).
    1. M Thurner et al
    (2017) Islet DNA methylation data
    Available through controlled access at the EGA website (study accession no: EGAS00001002592).
The following previously published data sets were used

Article and author information

Author details

  1. Matthias Thurner

    The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7329-9769
  2. Martijn van de Bunt

    The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6744-6125
  3. Jason M Torres

    The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  4. Anubha Mahajan

    The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  5. Vibe Nylander

    Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  6. Amanda J Bennett

    Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  7. Kyle J Gaulton

    Department of Pediatrics, University of California, San Diego, San Diego, United States
    Competing interests
    No competing interests declared.
  8. Amy Barrett

    Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  9. Carla Burrows

    Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  10. Christopher G Bell

    Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom
    Competing interests
    No competing interests declared.
  11. Robert Lowe

    Centre for Genomics and Child Health, Blizard Institute, Barts and The London School of Medicine and Dentistry, London, United Kingdom
    Competing interests
    No competing interests declared.
  12. Stephan Beck

    Department of Cancer Biology, UCL Cancer Institute, University College London, London, United Kingdom
    Competing interests
    No competing interests declared.
  13. Vardhman K Rakyan

    Centre for Genomics and Child Health, Blizard Institute, Barts and The London School of Medicine and Dentistry, London, United Kingdom
    Competing interests
    No competing interests declared.
  14. Anna L Gloyn

    The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1205-1844
  15. Mark I McCarthy

    The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    For correspondence
    mark.mccarthy@drl.ox.ac.uk
    Competing interests
    Mark I McCarthy, Senior editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4393-0510

Funding

Wellcome (90367)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Wellcome (90532)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Wellcome (106130)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Wellcome (98381)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Wellcome (095101/Z/10/Z)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Wellcome (200837/Z/16/Z)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Wellcome (099673/Z/12/Z)

  • Matthias Thurner
  • Jason M Torres
  • Anna L Gloyn
  • Mark I McCarthy

Novo Nordisk

  • Martijn van de Bunt

Horizon 2020 Framework Programme (HEALTH-F4-2007-201413)

  • Vibe Nylander
  • Anna L Gloyn

Royal Society

  • Stephan Beck

National Institute for Health Research

  • Anna L Gloyn
  • Mark I McCarthy

National Institutes of Health (U01-DK105535)

  • Anna L Gloyn
  • Mark I McCarthy

National Institutes of Health (U01-DK085545)

  • Anna L Gloyn
  • Mark I McCarthy

National Institutes of Health (R01-DK098032)

  • Anna L Gloyn
  • Mark I McCarthy

National Institutes of Health (R01-MH090941)

  • Anna L Gloyn
  • Mark I McCarthy

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: The Human Research Ethics Board at the University of Alberta (Pro00001754), the University of Oxford's Oxford Tropical Research Ethics Committee (OxTREC Reference: 2-15), or the Oxfordshire Regional Ethics Committee B (REC reference: 09/H0605/2) approved the studies. All organ donors provided informed consent for use of pancreatic tissue in research.

Copyright

© 2018, Thurner et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,489
    views
  • 655
    downloads
  • 108
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Matthias Thurner
  2. Martijn van de Bunt
  3. Jason M Torres
  4. Anubha Mahajan
  5. Vibe Nylander
  6. Amanda J Bennett
  7. Kyle J Gaulton
  8. Amy Barrett
  9. Carla Burrows
  10. Christopher G Bell
  11. Robert Lowe
  12. Stephan Beck
  13. Vardhman K Rakyan
  14. Anna L Gloyn
  15. Mark I McCarthy
(2018)
Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci
eLife 7:e31977.
https://doi.org/10.7554/eLife.31977

Share this article

https://doi.org/10.7554/eLife.31977

Further reading

    1. Genetics and Genomics
    2. Immunology and Inflammation
    Stephanie Guillet, Tomi Lazarov ... Frédéric Geissmann
    Research Article

    Systemic lupus erythematosus (SLE) is an autoimmune disease, the pathophysiology and genetic basis of which are incompletely understood. Using a forward genetic screen in multiplex families with SLE, we identified an association between SLE and compound heterozygous deleterious variants in the non-receptor tyrosine kinases (NRTKs) ACK1 and BRK. Experimental blockade of ACK1 or BRK increased circulating autoantibodies in vivo in mice and exacerbated glomerular IgG deposits in an SLE mouse model. Mechanistically, NRTKs regulate activation, migration, and proliferation of immune cells. We found that the patients’ ACK1 and BRK variants impair efferocytosis, the MERTK-mediated anti-inflammatory response to apoptotic cells, in human induced pluripotent stem cell (hiPSC)-derived macrophages, which may contribute to SLE pathogenesis. Overall, our data suggest that ACK1 and BRK deficiencies are associated with human SLE and impair efferocytosis in macrophages.

    1. Genetics and Genomics
    2. Microbiology and Infectious Disease
    Dániel Molnár, Éva Viola Surányi ... Judit Toth
    Research Article

    The sustained success of Mycobacterium tuberculosis as a pathogen arises from its ability to persist within macrophages for extended periods and its limited responsiveness to antibiotics. Furthermore, the high incidence of resistance to the few available antituberculosis drugs is a significant concern, especially since the driving forces of the emergence of drug resistance are not clear. Drug-resistant strains of Mycobacterium tuberculosis can emerge through de novo mutations, however, mycobacterial mutation rates are low. To unravel the effects of antibiotic pressure on genome stability, we determined the genetic variability, phenotypic tolerance, DNA repair system activation, and dNTP pool upon treatment with current antibiotics using Mycobacterium smegmatis. Whole-genome sequencing revealed no significant increase in mutation rates after prolonged exposure to first-line antibiotics. However, the phenotypic fluctuation assay indicated rapid adaptation to antibiotics mediated by non-genetic factors. The upregulation of DNA repair genes, measured using qPCR, suggests that genomic integrity may be maintained through the activation of specific DNA repair pathways. Our results, indicating that antibiotic exposure does not result in de novo adaptive mutagenesis under laboratory conditions, do not lend support to the model suggesting antibiotic resistance development through drug pressure-induced microevolution.