Genome biologyGeneticsPeer-reviewed journal article
Genetic regulation of RNA splicing in human pancreatic islets
Goutham AtlaiD, Sílvia Bonàs‐GuarchiD, Mirabai Cuenca-ArduraiD, Anthony BeucheriD, Daniel J. M. CrouchiD, Javier García-HurtadoiD, Ignasi MorániD, Miriam CnopiD, Lena EliassoniD, Jonathan L.S. EsguerraiD, Decio Laks EizirikiD, Leif GroopiD, Thomas Skøt JenseniD, Torben F. HanseniD, Piero MarchettiiD, Josep Maria MercaderiD, Hindrik MulderiD, Chris R. Stabile-Barnett, Christian ThirioniD, David TorrentsiD, Manuel IrimiaiD, Rashmi B. PrasadiD, Anna L. GloyniD, Lorella MarselliiD, Mara SuleimaniD, , Jorge P. FerreriD
Abstract
Genetic variants that influence transcriptional regulation in pancreatic islets play a major role in the susceptibility to type 2 diabetes (T2D). For many susceptibility loci, however, the mechanisms are unknown. We examined splicing QTLs (sQTLs) in islets from 399 donors and observed that genetic variation has a widespread influence on splicing of genes with important functions in islet biology. In parallel, we profiled expression QTLs, and used transcriptome-wide association and co-localization studies to assign islet sQTLs or eQTLs to T2D susceptibility signals that lacked candidate effector genes. We found novel T2D associations, including an sQTL that creates a nonsense isoform in ERO1B, a regulator of ER-stress and proinsulin biosynthesis. The expanded list of T2D risk effectors revealed overrepresented pathways, including regulators of G-protein-mediated cAMP production. This data exposes an underappreciated layer of genetic regulation in pancreatic islets, and nominates molecular mediators of T2D susceptibility.
- organism: human
- assay: bulk RNA-seq
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- Citations
- 32
- FWCI
- 4.07
- Field percentile
- top 5%
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