Evidence map›Paper›PMID 31253982›Full record

ArticleNature genetics2019

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

Irene Miguel-Escalada, Silvia Bonàs-Guarch, Inês Cebola, Joan Ponsa-Cobas, Julen Mendieta-Esteban, Goutham Atla, Biola M Javierre, Delphine M Y Rolando, Irene Farabella, Claire C Morgan and 26 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 4 pooled it
38.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

178 citing papers in PubMed, 4 syntheses or guidelines pooled it, 299 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Nardilysin regulatesBiochemistry and biophysics reports · 2026
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  12. Bone Organoids: A Novel Tool for Modeling and Managing Skeletal Disorders in Diabetes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Article
  19. eVLP-Mediated Cas9 Delivery for Preventing IBMIR in Islet Transplantation.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  20. Article

118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors at 19 institutions in 9 countries.

Irene Miguel-EscaladaSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
Silvia Bonàs-GuarchSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
Inês CebolaSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3528-4982
Joan Ponsa-CobasSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-3230-8742
Julen Mendieta-EstebanCNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-5834-7643
Goutham AtlaSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
Biola M JavierreNuclear Dynamics Programme, The Babraham Institute, Cambridge, UK.
Delphine M Y RolandoSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
Irene FarabellaCNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-7473-6227
Claire C MorganSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
Javier García-HurtadoRegulatory Genomics and Diabetes, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Anthony BeucherSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
Ignasi MoránSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-3307-7106
Lorenzo PasqualiCIBER de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain.ORCID http://orcid.org/0000-0003-2423-1826
Mireia Ramos-RodríguezEndocrine Regulatory Genomics Laboratory, Germans Trias i Pujol University Hospital and Research Institute, Barcelona, Spain.
Emil V R AppelNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-7704-6611
Allan LinnebergCenter for Clinical Research and Disease Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-0994-0184
Anette P GjesingNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Daniel R WitteDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-3321-3972
Niels GrarupNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-5526-1070
Philippe RavassardUniversité Sorbonne, UPMC Univ Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle-Hôpital Pitié-Salpêtrière, Boulevard de l'Hôpital, Paris, France.ORCID http://orcid.org/0000-0002-0393-9262
David TorrentsBarcelona Supercomputing Center, Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona, Spain.
Josep M MercaderBarcelona Supercomputing Center, Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona, Spain.ORCID http://orcid.org/0000-0001-8494-3660
Lorenzo PiemontiDiabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0002-2172-2198
Thierry BerneyCell Isolation and Transplantation Center, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-4230-9378
Eelco J P de KoningDepartment of Medicine, Leiden University Medical Center, Leiden, the Netherlands.
Julie Kerr-ConteEuropean Genomic Institute for Diabetes, Lille, France.
François PattouEuropean Genomic Institute for Diabetes, Lille, France.ORCID http://orcid.org/0000-0001-8388-3766
Iryna O FedkoDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Leif GroopGenomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.ORCID http://orcid.org/0000-0002-0187-3263
Inga ProkopenkoSection of Genomics of Common Disease, Department of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-1624-7457
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8748-3831
Marc A Marti-RenomCNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-0151-4279
Peter FraserNuclear Dynamics Programme, The Babraham Institute, Cambridge, UK.ORCID http://orcid.org/0000-0002-0041-1227
Jorge FerrerSection of Epigenomics and Disease, Department of Medicine, and National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK. jorge.ferrer@crg.eu.ORCID http://orcid.org/0000-0002-5959-5729
National Institute for Health Research · GBUniversity of Copenhagen · DKCentre for Genomic Regulation · ESEuropean Genomic Institute for Diabetes · FRInstitució Catalana de Recerca i Estudis Avançats · ESAarhus University · DKBabraham Institute · GBBarcelona Supercomputing Center · ESBroad Institute · USCentre National de la Recherche Scientifique · FRCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESFlorida State University · USJosep Carreras Leukaemia Research Institute · ESLeiden University Medical Center · NLLund University · SEUniversity of Geneva · CHUniversity of Surrey · GBVita-Salute San Raffaele University · ITVrije Universiteit Amsterdam · NL

Funding

European Research Council 609989European Research Council 789055Medical Research Council MR/L007150/1Medical Research Council MR/L02036X/1Wellcome Trust 101033Wellcome Trust 205915
6 · The paper itself

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.

Indexed as

Enhancer Elements, GeneticGene Expression RegulationGene Regulatory NetworksChromatinCohort StudiesDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulin SecretionIslets of LangerhansMolecular ConformationPromoter Regions, GeneticChromatin

Identifiers

PMID31253982
PMCPMC6640048
OpenAlexW2954958768

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.