Evidence map›Paper›PMID 36109769›Full record

ArticleGenome biology2022

Genetic regulation of RNA splicing in human pancreatic islets.

Goutham Atla, Silvia Bonàs-Guarch, Mirabai Cuenca-Ardura, Anthony Beucher, Daniel J M Crouch, Javier Garcia-Hurtado, Ignasi Moran, T2DSystems Consortium, Manuel Irimia, Rashmi B Prasad and 10 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Alternative Splicing Regulation in Metabolic Disorders.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  15. Article
  16. Review
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  18. Review
  19. Multiple genetic variants at the SLC30A8 locus affect local super-enhancer activity and influence pancreatic β-cell survival and function.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  20. Article
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

20 authors at 11 institutions in 8 countries.

Goutham AtlaCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Silvia Bonàs-GuarchCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain. silvia.bonas@crg.eu.
Mirabai Cuenca-ArduraCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Anthony BeucherCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Daniel J M CrouchJDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Javier Garcia-HurtadoCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Ignasi MoranDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
T2DSystems Consortium
Manuel IrimiaCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Rashmi B PrasadLund University Diabetes Centre, Clinical Research Center, Malmö, Sweden.
Anna L GloynOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Lorella MarselliDepartment of Clinical and Experimental Medicine, AOUP Cisanello University Hospital, University of Pisa, Pisa, Italy.
Mara SuleimanDepartment of Clinical and Experimental Medicine, AOUP Cisanello University Hospital, University of Pisa, Pisa, Italy.
Thierry BerneyCell Isolation and Transplantation Center, University of Geneva, Geneva, Switzerland.
Eelco J P de KoningDepartment of Medicine, Leiden University Medical Center, Leiden, the Netherlands.
Julie Kerr-ConteUniversity of Lille, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Lille (CHU Lille), Institute Pasteur Lille, U1190 -European Genomic Institute for Diabetes (EGID), F59000, Lille, France.
Francois PattouUniversity of Lille, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Lille (CHU Lille), Institute Pasteur Lille, U1190 -European Genomic Institute for Diabetes (EGID), F59000, Lille, France.
John A ToddJDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Lorenzo PiemontiDiabetes Research Institute, IRCCS Ospedale San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy.
Jorge FerrerCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain. jorge.ferrer@crg.eu.ORCID 0000-0002-5959-5729
Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESCentre for Human Genetics · GBInserm · FRUniversity of Pisa · ITBarcelona Supercomputing Center · ESCentre for Genomic Regulation · ESLeiden University Medical Center · NLLund University · SEUniversity of Geneva · CHUniversity of Oxford · GBVita-Salute San Raffaele University · IT

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/L02036X/1Wellcome Trust 200837/Z/16/ZWellcome Trust WT101033
6 · The paper itself

Abstract

backgroundNon-coding genetic variants that influence gene transcription in pancreatic islets play a major role in the susceptibility to type 2 diabetes (T2D), and likely also contribute to type 1 diabetes (T1D) risk. For many loci, however, the mechanisms through which non-coding variants influence diabetes susceptibility are unknown.

resultsWe examine splicing QTLs (sQTLs) in pancreatic islets from 399 human donors and observe that common genetic variation has a widespread influence on the splicing of genes with established roles in islet biology and diabetes. In parallel, we profile expression QTLs (eQTLs) and use transcriptome-wide association as well as genetic co-localization studies to assign islet sQTLs or eQTLs to T2D and T1D susceptibility signals, many of which lack candidate effector genes. This analysis reveals biologically plausible mechanisms, including the association of T2D with an sQTL that creates a nonsense isoform in ERO1B, a regulator of ER-stress and proinsulin biosynthesis. The expanded list of T2D risk effector genes reveals overrepresented pathways, including regulators of G-protein-mediated cAMP production. The analysis of sQTLs also reveals candidate effector genes for T1D susceptibility such as DCLRE1B, a senescence regulator, and lncRNA MEG3.

conclusionsThese data expose widespread effects of common genetic variants on RNA splicing in pancreatic islets. The results support a role for splicing variation in diabetes susceptibility, and offer a new set of genetic targets with potential therapeutic benefit.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Islets of LangerhansRNA, Long NoncodingExodeoxyribonucleasesHumansProinsulinProtein IsoformsRNA SplicingDCLRE1B protein, humanExodeoxyribonucleasesProinsulinProtein IsoformsRNA, Long NoncodingBeta cellsCTRB2Diabetes pathophysiologyG-protein signalingPancreatic beta-cellsPancreatic isletsQuantitative trait lociRNA splicingSenescenceTWASType 1 diabetesType 2 diabetes

Identifiers

PMID36109769
PMCPMC9479353
OpenAlexW4296034620

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.