Genetic regulation of RNA splicing in human pancreatic islets

Background Non-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. Results We 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. Conclusions These 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.This research was supported by Ministerio de Ciencia e Innovación (BFU2014-54284-R, RTI2018-095666-B-I00), Medical Research Council (MR/L02036X/1), a Wellcome Trust Senior Investigator Award (WT101033), European Research Council Advanced Grant (789055), EU Horizon 2020 TDSystems (667191), ESPACE (874710), and Marie Sklodowska-Curie (643062, ZENCODE). S.B.G was supported by a Juan de la Cierva postdoctoral fellowship (MINECO; FJCI-2017-32090). M.C.A was supported by a Boehringer Ingelheim Fonds PhD fellowship. Work in CRG was supported by the CERCA Programme, Generalitat de Catalunya, Centro de Excelencia Severo Ochoa (CEX2020-001049), and support of the Spanish Ministry of Science and Innovation to the EMBL partnership. Work in Imperial College was supported by NIHR Imperial Biomedical Research Centre. M.I. was supported by a European Research Council consolidator award (101002275). D.J.M.C. and J.A.T. were supported by JDRF grants 9-2011-253, 5-SRA-2015-130-A-N, 4- SRA-2017-473-A-N, and Wellcome grants 091157/Z/10/Z and 107212/Z/15/Z, to the Diabetes and Inflammation Laboratory, Oxford, as well as the Oxford Biomedical Research Computing (BMRC) facility, a joint development between the Wellcome Centre for Human Genetics and the Big Data Institute supported by Health Data Research UK and NIHR Oxford Biomedical Research Centre, and Wellcome Trust Core Award grant 203141/Z/16/Z. D.M.J.C analysis with the UK Biobank Resource was conducted under Application 31295. A.L.G. is a Wellcome Senior Fellow in Basic Biomedical Science and was supported by the Wellcome Trust (095101, 200837, 106130, 203141), the NIDDK (U01DK105535 and UM1 DK126185), and the Oxford NIHR Biomedical Research Centre.Peer Reviewed"Article signat per 20 autors/es: Goutham Atla, Silvia Bonàs-Guarch, Mirabai Cuenca-Ardura, Anthony Beucher, Daniel J. M. Crouch, Javier Garcia-Hurtado, Ignasi Moran, the T2DSystems Consortium, Manuel Irimia, Rashmi B. Prasad, Anna L. Gloyn, Lorella Marselli, Mara Suleiman, Thierry Berney, Eelco J. P. de Koning, Julie Kerr-Conte, Francois Pattou, John A. Todd, Lorenzo Piemonti & Jorge Ferrer"Postprint (published version

Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes.

The reanalysis of existing GWAS data represents a powerful and cost-effective opportunity to gain insights into the genetics of complex diseases. By reanalyzing publicly available type 2 diabetes (T2D) genome-wide association studies (GWAS) data for 70,127 subjects, we identify seven novel associated regions, five driven by common variants (LYPLAL1, NEUROG3, CAMKK2, ABO, and GIP genes), one by a low-frequency (EHMT2), and one driven by a rare variant in chromosome Xq23, rs146662057, associated with a twofold increased risk for T2D in males. rs146662057 is located within an active enhancer associated with the expression of Angiotensin II Receptor type 2 gene (AGTR2), a modulator of insulin sensitivity, and exhibits allelic specific activity in muscle cells. Beyond providing insights into the genetics and pathophysiology of T2D, these results also underscore the value of reanalyzing publicly available data using novel genetic resources and analytical approaches

Dissecting genetic regulatory mechanisms in human pancreatic islets to gain insights into type 2 diabetes pathophysiology

[eng] Diabetes mellitus is a heterogeneous group of metabolic diseases characterized by impaired blood glucose homeostasis that affects more than 415 million people worldwide and is a leading cause of mortality. The most prevalent form of diabetes is Type 2 Diabetes (T2D) that accounts for 90% of diabetes cases. An interplay of environmental and genetic risk factors contributes to etiology of T2D via a progressive loss of pancreatic beta cell function coupled with insulin resistance. Genome Wide Association Studies (GWAS) identified more than 400 independent genetic loci associated with T2D risk, although the molecular mechanisms underlying these genetic signals remain poorly understood. A comprehensive understanding of gene regulation in human pancreatic islets and identifying the role of T2D risk variants on different components of gene regulation will enlighten our insights into T2D etiology. In this work, we performed an in-depth characterization of human pancreatic islets transcriptional regulatory elements, attaining a greater granularity at transcriptional enhancers. We further identified glucose responsive enhancers which regulate glucose-dependent gene expression programs via three-dimensional chromatin interactions. This allowed us to gain insights into human islet transcriptional gene regulation and how glucose, a primary physiological stimulant of pancreatic islets, modulates human islet genome function. We also generated comprehensive transcriptome annotations in human islets using short- and long-read sequencing data along with accurate maps of transcriptional start sites. This revealed islet-specific promoters, transcript isoforms and novel coding sequences. This underscored the importance of generating transcript models in disease relevant tissue to progress in the understanding of gene regulation. Finally, these parallel efforts allowed us to create pioneer maps of genetic effects on human alternative splicing that revealed for the first time the noteworthy contribution of human islet mRNA splicing to T2D pathophysiology. These results have thus the potential to blossom in the discovery of novel T2D drug targets

REST is a major negative regulator of endocrine differentiation during pancreas organogenesis

Multiple transcription factors have been shown to promote pancreatic β-cell differentiation, yet much less is known about negative regulators. Earlier epigenomic studies suggested that the transcriptional repressor REST could be a suppressor of endocrinogenesis in the embryonic pancreas. However, pancreatic Rest knockout mice failed to show abnormal numbers of endocrine cells, suggesting that REST is not a major regulator of endocrine differentiation. Using a different conditional allele that enables profound REST inactivation, we observed a marked increase in pancreatic endocrine cell formation. REST inhibition also promoted endocrinogenesis in zebrafish and mouse early postnatal ducts and induced β-cell-specific genes in human adult duct-derived organoids. We also defined genomic sites that are bound and repressed by REST in the embryonic pancreas. Our findings show that REST-dependent inhibition ensures a balanced production of endocrine cells from embryonic pancreatic progenitors.This research was supported by Ministerio de Ciencia, Innovación y Universidades (SAF2015-73226-JIN [Agencia Estatal de Investigación {AEI}/European Regional Development Fund, European Union {UE}] and RYC-2017-21950 [AEI/European Social Fund, UE] to M.R., and BFU2014-54284-R and RTI2018-095666-B-I00 to J.F.); the Medical Research Council (MR/L02036X/1), Wellcome Trust (WT101033), and European Research Council Advanced Grant (789055) (to J.F.); the Instituto de Salud Carlos III (CA18/00045 to J.L.M.); and a Spanish Ministry of Science, Innovation, and Universities (MCIU) fellowship (PTA2018-016371-I to M.M.). J.K.-C.'s and F.P.'s research was supported by L'Agence Nationale de la Recherche (ANR) grants, L'Institut Européen de Génomique du Diabète (EGID), ANR-10-LABX-0046, a French state fund managed by ANR under the frame program Investissements d'Avenir (I-SITE ULNE/ANR-16-IDEX-0004 ULNE to F.P.), and the European Consortium for Islet Transplantation funded by the Juvenile Diabetes Research Foundation International. Work in the Centre for Genomic Regulation was supported by the Centres de Recerca de Catalunya (CERCA) Programme, Generalitat de Catalunya, and Centro de Excelencia Severo Ochoa (SEV-2015-0510). Work at Institut d'Investigació Biomèdica de Bellvitge was supported by the CERCA Programme and Generalitat de Cataluny

Pancreatic microexons regulate islet function and glucose homeostasis

Pancreatic islets control glucose homeostasis by the balanced secretion of insulin and other hormones, and their abnormal function causes diabetes or hypoglycaemia. Here we uncover a conserved programme of alternative microexons included in mRNAs of islet cells, particularly in genes involved in vesicle transport and exocytosis. Islet microexons (IsletMICs) are regulated by the RNA binding protein SRRM3 and represent a subset of the larger neural programme that are particularly sensitive to SRRM3 levels. Both SRRM3 and IsletMICs are induced by elevated glucose levels, and depletion of SRRM3 in human and rat beta cell lines and mouse islets, or repression of particular IsletMICs using antisense oligonucleotides, leads to inappropriate insulin secretion. Consistently, mice harbouring mutations in Srrm3 display defects in islet cell identity and function, leading to hyperinsulinaemic hypoglycaemia. Importantly, human genetic variants that influence SRRM3 expression and IsletMIC inclusion in islets are associated with fasting glucose variation and type 2 diabetes risk. Taken together, our data identify a conserved microexon programme that regulates glucose homeostasis.We thank B. Banfi (University of Iowa) for kindly sharing the Srrm3 gene-trapped mouse line with us; M. Ángel Maestro for excellent technical advice on multiple protocols related to the study of Srrm3 mutant mice; J. Permanyer and C. Rodriguez for help with mouse genotyping; D. Balboa, I. Miguel-Escalada and E. Bernardo, as well as members of the M.I. and J.V. groups for constant scientific discussion; A. Gohr for assistance on bioinformatic analyses; S. Taylor (University of Manchester) for kindly sharing the HeLa Flp-In T-Rex cell line with us; and CRG Genomics and Advanced Light Microscopy Units for the RNA-seq and microscopy services. The research has been funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC-StG-LS2-637591 and ERCCoG-LS2-101002275 to M.I., ERC-AdG-LS2-670146 to J.V., and ERC-AdG-LS4-789055 to J.F.), EU Horizon 2020 TDSystems (667191) to J.F., la Caixa Foundation (ID 100010434), under the agreement LCF/PR/HR20/52400008 to M.I., an EFSD award supported by EFSD/Lilly European Diabetes Research Programme, the Spanish Ministry of Science and Innovation (BFU-2017-89308-P to J.V., BFU-2017-89201-P to M.I. and RTI2018-095666-B-I00 to J.F.) and the ‘Centro de Excelencia Severo Ochoa’ (CEX2020-001049). G.A. was supported by the Marie Skłodowska-Curie project ZENCODE-ITN (No. 643062). S.B.-G. was supported by a Juan de la Cierva postdoctoral fellowship (MINECO; FJCI-2017-32090). J.J.-M. was supported by the Beatriu de Pinós Programme and the Ministry of Research and Universities of the Government of Catalonia, and a Marie Skłodowska-Curie Individual Fellowship from the European Union’s Horizon 2020 research and innovation programme (MSCA-IF-2019-841758; http://ec.europa.eu/)

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

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.This research was supported by the National Institute for Health Research Imperial Biomedical Research Centre. Work was funded by grants from the Wellcome Trust (nos. WT101033 to J.F. and WT205915 to I.P.), Horizon 2020 (Research and Innovation Programme nos. 667191, to J.F., 633595, to I.P., and 676556, to M.A.M.-R.; Marie Sklodowska-Curie 658145, to I.M.-E., and 43062 ZENCODE, to G.A.), European Research Council (nos. 789055, to J.F., and 609989, to M.A.M.-R.). Marató TV3 (no. 201611, to J.F. and M.A.M.-R.), Ministerio de Ciencia Innovación y Universidades (nos. BFU2014-54284-R, RTI2018-095666, to J.F., BFU2017-85926-P, to M.A.M.-R., IJCI-2015-23352, to I.F.), AGAUR (to M.A.M.-R.). UK Medical Research Council (no. MR/L007150/1, to P.F., MR/L02036X/1 to J.F.), World Cancer Research Fund (WCRF UK, to I.P.) and World Cancer Research Fund International (no. 2017/1641 to I.P.), Biobanking and Biomolecular Resources Research Infrastructure (nos. BBMRI-NL, NWO 184.021.007, to I.O.F.). Work in IDIBAPS, CRG and CNAG was supported by the CERCA Programme, Generalitat de Catalunya and Centros de Excelencia Severo Ochoa (no. SEV-2012-0208). Human islets were provided through the European islet distribution program for basic research supported by JDRF (no. 3-RSC-2016-160-I-X). We thank N. Ruiz-Gomez for technical assistance; R. L. Fernandes, T. Thorne (University of Reading) and A. Perdones-Montero (Imperial College London) for helpful discussions regarding Machine Learning approaches; B. Lenhard and M. Merkenschlager (London Institute of Medical Sciences, Imperial College London), F. Müller (University of Birmingham) and J. L. Gómez-Skarmeta (Centro Andaluz de Biología del Desarrollo) for critical comments on the draft; the CRG Genomics Unit; and the Imperial College High Performance Computing Service

CRISPR-based genome editing in primary human pancreatic islet cells

Gene targeting studies in primary human islets could advance our understanding of mechanisms driving diabetes pathogenesis. Here, we demonstrate successful genome editing in primary human islets using clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein 9 (Cas9). CRISPR-based targeting efficiently mutated protein-coding exons, resulting in acute loss of islet β-cell regulators, like the transcription factor PDX1 and the KATP channel subunit KIR6.2, accompanied by impaired β-cell regulation and function. CRISPR targeting of non-coding DNA harboring type 2 diabetes (T2D) risk variants revealed changes in ABCC8, SIX2 and SIX3 expression, and impaired β-cell function, thereby linking regulatory elements in these target genes to T2D genetic susceptibility. Advances here establish a paradigm for genetic studies in human islet cells, and reveal regulatory and genetic mechanisms linking non-coding variants to human diabetes risk.We gratefully acknowledge organ donors and their families, Canadian organ procurement organizations, particularly the Human Organ Procurement and Exchange (HOPE) program and the Trillium Gift of Life Network, and islet procurement through the Alberta Diabetes Institute Islet Core, Integrated Islet Distribution Program (U.S. NIH UC4 DK098085). R.J.B. was supported by a postdoctoral fellowship from JDRF (3-PDF-2018-584-A-N) and is on leave from the Animal Biotechnology Laboratory, Facultad de Agronomía, Universidad de Buenos Aires/INPA CONICET, CABA, Argentina. Work in the CRG and ICL was funded by the Wellcome Trust (WT101033), Medical Research Council (MR/L02036X/1), European Research Council Advanced Grant (789055), Ministerio de Ciencia e Innovación (RTI2018-095666-B-I00) and Marató TV3 #201611. Work in the University of Alberta was supported by a Foundation Grant from the Canadian Institutes of Health Research (CIHR: 148451, MacDonald). Work in the Kim lab was supported by NIH awards (R01 DK107507; R01 DK108817; U01 DK123743 to S.K.K.), and JDRF Northern California Center of Excellence (to S.K.K. and M. Hebrok). Work here was also supported by NIH grant P30 DK116074 (S.K.K.

Regulatory de novo mutations underlying intellectual disability

The genetic aetiology of a major fraction of patients with intellectual disability (ID) remains unknown. De novo mutations (DNMs) in protein-coding genes explain up to 40% of cases, but the potential role of regulatory DNMs is still poorly understood. We sequenced 63 whole genomes from 21 ID probands and their unaffected parents. In addition, we analysed 30 previously sequenced genomes from exome-negative ID probands. We found that regulatory DNMs were selectively enriched in fetal brain-specific enhancers as compared with adult brain enhancers. DNM-containing enhancers were associated with genes that show preferential expression in the prefrontal cortex. Furthermore, we identified recurrently mutated enhancer clusters that regulate genes involved in nervous system development (CSMD1, OLFM1, and POU3F3). Most of the DNMs from ID probands showed allele-specific enhancer activity when tested using luciferase assay. Using CRISPR-mediated mutation and editing of epigenomic marks, we show that DNMs at regulatory elements affect the expression of putative target genes. Our results, therefore, provide new evidence to indicate that DNMs in fetal brain-specific enhancers play an essential role in the aetiology of ID.This work was funded by grants from the Wellcome Trust Institute Strategic Support and National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, Institute for Translational Medicine and Therapeutics (P70888) obtained by SS Atanur. J Ferrer and MG De Vas’s work was funded by grants from the Wellcome Trust (WT101033 to J Ferrer), Medical Research Council (MR/L02036X/1 to J Ferrer), and European Research Council Advanced Grant (789055 to J Ferrer). MM Pradeepa’s lab is funded by the UKRI/MRC (MR/T000783/1), and Barts charity (MGU0475) grants. TN Khan was partially supported by the Government of Pakistan under the PSDP project “Development of National University of Medical Sciences (NUMS), Rawalpindi.

Genetic regulation of RNA splicing in human pancreatic islets

Background: Non-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. Results: We 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. Conclusions: These 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.This research was supported by Ministerio de Ciencia e Innovación (BFU2014-54284-R, RTI2018-095666-B-I00), Medical Research Council (MR/L02036X/1), a Wellcome Trust Senior Investigator Award (WT101033), European Research Council Advanced Grant (789055), EU Horizon 2020 TDSystems (667191), ESPACE (874710), and Marie Sklodowska-Curie (643062, ZENCODE). S.B.G was supported by a Juan de la Cierva postdoctoral fellowship (MINECO; FJCI-2017-32090). M.C.A was supported by a Boehringer Ingelheim Fonds PhD fellowship. Work in CRG was supported by the CERCA Programme, Generalitat de Catalunya, Centro de Excelencia Severo Ochoa (CEX2020-001049), and support of the Spanish Ministry of Science and Innovation to the EMBL partnership. Work in Imperial College was supported by NIHR Imperial Biomedical Research Centre. M.I. was supported by a European Research Council consolidator award (101002275). D.J.M.C. and J.A.T. were supported by JDRF grants 9-2011-253, 5-SRA-2015-130-A-N, 4- SRA-2017-473-A-N, and Wellcome grants 091157/Z/10/Z and 107212/Z/15/Z, to the Diabetes and Inflammation Laboratory, Oxford, as well as the Oxford Biomedical Research Computing (BMRC) facility, a joint development between the Wellcome Centre for Human Genetics and the Big Data Institute supported by Health Data Research UK and NIHR Oxford Biomedical Research Centre, and Wellcome Trust Core Award grant 203141/Z/16/Z. D.M.J.C analysis with the UK Biobank Resource was conducted under Application 31295. A.L.G. is a Wellcome Senior Fellow in Basic Biomedical Science and was supported by the Wellcome Trust (095101, 200837, 106130, 203141), the NIDDK (U01DK105535 and UM1 DK126185), and the Oxford NIHR Biomedical Research Centre