Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci
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
-
Islet open chromatin dataAvailable through controlled access at the EGA website (study accession no: EGAS00001002592).
-
Islet DNA methylation dataAvailable through controlled access at the EGA website (study accession no: EGAS00001002592).
-
Transcription profiling by high throughput sequencing of human and mouse pancreatic islet-cellsAvailable from Array Express (accession no: E-MTAB-1294).
-
Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variantsAvailable from NCBI GEO (accession no: GSE51312).
-
Pancreatic islet enhancer clusters enriched in type 2 diabetes risk-associated variantsAvailable from Array Express (accession no: E-MTAB-1919).
-
Integrative analysis of 111 reference human epigenomesAvailable from Epigenome Roadmap website.
-
Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density ImputationAvailable from the Engage consortium website.
-
Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream EffectorsAvailable from the EGA website (study accession no: EGAS00001002592).
-
An Expanded Genome-Wide Association Study of Type 2 Diabetes in EuropeansAvailable from the Diagram Consortium website.
-
Whole-genome Bisulfite Sequencing of Human Pancreatic Islets Reveals Novel Differentially Methylated Regions in Type 2 Diabetes PathogenesisAvailable through links in the Supplementary Data information.
-
A high-resolution map of human evolutionary constraint using 29 mammalsAvailable through the institutional website.
Article and author information
Author details
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
-
- 4,513
- views
-
- 656
- downloads
-
- 108
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
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)
Further reading
-
- Genetics and Genomics
One of the goals of synthetic biology is to enable the design of arbitrary molecular circuits with programmable inputs and outputs. Such circuits bridge the properties of electronic and natural circuits, processing information in a predictable manner within living cells. Genome editing is a potentially powerful component of synthetic molecular circuits, whether for modulating the expression of a target gene or for stably recording information to genomic DNA. However, programming molecular events such as protein-protein interactions or induced proximity as triggers for genome editing remains challenging. Here, we demonstrate a strategy termed ‘P3 editing’, which links protein-protein proximity to the formation of a functional CRISPR-Cas9 dual-component guide RNA. By engineering the crRNA:tracrRNA interaction, we demonstrate that various known protein-protein interactions, as well as the chemically induced dimerization of protein domains, can be used to activate prime editing or base editing in human cells. Additionally, we explore how P3 editing can incorporate outputs from ADAR-based RNA sensors, potentially allowing specific RNAs to induce specific genome edits within a larger circuit. Our strategy enhances the controllability of CRISPR-based genome editing, facilitating its use in synthetic molecular circuits deployed in living cells.
-
- Biochemistry and Chemical Biology
- Genetics and Genomics
RNA binding proteins (RBPs) containing intrinsically disordered regions (IDRs) are present in diverse molecular complexes where they function as dynamic regulators. Their characteristics promote liquid-liquid phase separation (LLPS) and the formation of membraneless organelles such as stress granules and nucleoli. IDR-RBPs are particularly relevant in the nervous system and their dysfunction is associated with neurodegenerative diseases and brain tumor development. Serpine1 mRNA-binding protein 1 (SERBP1) is a unique member of this group, being mostly disordered and lacking canonical RNA-binding domains. We defined SERBP1’s interactome, uncovered novel roles in splicing, cell division and ribosomal biogenesis, and showed its participation in pathological stress granules and Tau aggregates in Alzheimer’s brains. SERBP1 preferentially interacts with other G-quadruplex (G4) binders, implicated in different stages of gene expression, suggesting that G4 binding is a critical component of SERBP1 function in different settings. Similarly, we identified important associations between SERBP1 and PARP1/polyADP-ribosylation (PARylation). SERBP1 interacts with PARP1 and its associated factors and influences PARylation. Moreover, protein complexes in which SERBP1 participates contain mostly PARylated proteins and PAR binders. Based on these results, we propose a feedback regulatory model in which SERBP1 influences PARP1 function and PARylation, while PARylation modulates SERBP1 functions and participation in regulatory complexes.