Genetic regulation of RNA splicing in human pancreatic islets
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Published:2022-09-15
Issue:1
Volume:23
Page:
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ISSN:1474-760X
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Container-title:Genome Biology
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language:en
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Short-container-title:Genome Biol
Author:
Atla Goutham, Bonàs-Guarch Silvia, Cuenca-Ardura Mirabai, Beucher Anthony, Crouch Daniel J. M., Garcia-Hurtado Javier, Moran Ignasi, Cnop Miriam, Eliasson Lena, Esguerra Jonathan Lou S., Eizirik Décio L., Groop Leif, Jensen Thomas S., Hansen Torben, Marchetti Piero, Mercader Josep M., Mulder Hindrik, Stabile-Barnett Chris R., Thirion Christian, Torrents David, Irimia Manuel, Prasad Rashmi B., Gloyn Anna L., Marselli Lorella, Suleiman Mara, Berney Thierry, de Koning Eelco J. P., Kerr-Conte Julie, Pattou Francois, Todd John A., Piemonti Lorenzo, Ferrer JorgeORCID,
Abstract
AbstractBackgroundNon-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 inERO1B, 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 asDCLRE1B, a senescence regulator, and lncRNAMEG3.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.
Funder
H2020 European Research Council Horizon 2020 Framework Programme Ministerio de Ciencia e Innovación Medical Research Council Wellcome Trust HORIZON EUROPE European Research Council HORIZON EUROPE Framework Programme H2020 Marie Skłodowska-Curie Actions
Publisher
Springer Science and Business Media LLC
Reference103 articles.
1. Mahajan A, Taliun D, Thurner M, Robertson NR, Torres JM, Rayner NW, et al. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat Genet. 2018;50:1505–13. 2. Flannick J, Mercader JM, Fuchsberger C, Udler MS, Mahajan A, Wessel J, et al. Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature. 2019;570:71–6. 3. Vujkovic M, Keaton JM, Lynch JA, Miller DR, Zhou J, Tcheandjieu C, et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis. Nat Genet. 2020;52:680–91. 4. Robertson CC, Inshaw JRJ, Onengut-Gumuscu S, Chen WM, Santa Cruz DF, Yang H, et al. Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes. Nat Genet. 2021;53:962–71. 5. Chiou J, Geusz RJ, Okino ML, Han JY, Miller M, Melton R, et al. Interpreting type 1 diabetes risk with genetics and single-cell epigenomics. Nature. 2021;594:398–402.
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