Proceedings of the National Academy of SciencesGeneticsPeer-reviewed journal article
Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis
Henry J. TayloriD, Yu-Han HungiD, Narisu NarisuiD, Michael R. ErdosiD, Matthew Kanke, Tingfen YaniD, Caleb M. GrenkoiD, Amy J. Swift, Lori L. BonnycastleiD, Praveen SethupathyiD, Francis S. CollinsiD, D. Leland TayloriD
Abstract
Genetic studies have identified [≥]240 loci associated with risk of type 2 diabetes (T2D), yet most of these loci lie in non-coding regions, masking the underlying molecular mechanisms. Recent studies investigating mRNA expression in human pancreatic islets have yielded important insights into the molecular drivers of normal islet function and T2D pathophysiology. However, similar studies investigating microRNA (miRNA) expression remain limited. Here, we present data from 63 individuals, representing the largest sequencing-based analysis of miRNA expression in human islets to date. We characterize the genetic regulation of miRNA expression by decomposing the expression of highly heritable miRNAs into cis- and trans-acting genetic components and mapping cis-acting loci associated with miRNA expression (miRNA-eQTLs). We find (i) 81 heritable miRNAs, primarily regulated by trans-acting genetic effects, and (ii) 5 miRNA-eQTLs. We also use several different strategies to identify T2D-associated miRNAs. First, we colocalize miRNA-eQTLs with genetic loci associated with T2D and multiple glycemic traits, identifying one miRNA, miR-1908, that shares genetic signals for blood glucose and glycated hemoglobin (HbA1c). Next, we intersect miRNA seed regions and predicted target sites with credible set SNPs associated with T2D and glycemic traits and find 32 miRNAs that may have altered binding and function due to disrupted seed regions. Finally, we perform differential expression analysis and identify 13 miRNAs associated with T2D status--including miR-187-3p, miR-21-5p, miR-668, and miR-199b-5p--and 4 miRNAs associated with a polygenic score for HbA1c levels--miR-216a, miR-25, miR-30a-3p, and miR-30a-5p.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 37
- FWCI
- 5.96
- Field percentile
- top 2%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Influence of genetic variants on gene expression in human pancreatic islets - implications for type 2 diabetes
Ana Viñuela, Arushi Varshney, … Mark I. McCarthy·Nature CommunicationsPeer-reviewed·Sep 30, 2020
- Islet-specific DNA hypomethylation identifies gene enhancer loci driving Type 2 Diabetes risk
Verda E. Miranda, Timothy J. Scott, … Emily C. Hodges·medRxiv·Sep 9, 2025
- TIGER: The gene expression regulatory variation landscape of human pancreatic islets
Lorena Alonso, Anthony Piron, … David Torrents·Cell ReportsPeer-reviewed·Oct 1, 2021
- Islet Gene View - a tool to facilitate islet research
Olof Asplund, Petter Storm, … Rashmi B. Prasad·Life Science AlliancePeer-reviewed·Aug 10, 2022
- Genetic regulation of RNA splicing in human pancreatic islets
Goutham Atla, Sílvia Bonàs‐Guarch, … Jorge P. Ferrer·Genome biologyPeer-reviewed·Sep 15, 2022
- β Cell microRNAs Function as Molecular Hubs of Type 1 Diabetes Pathogenesis and as Biomarkers of Diabetes Risk
F. Syed, P. Krishnan, … C. Evans-Molina·bioRxiv·Jun 15, 2023