bioRxivGenomicsPreprint
Chromatin accessibility profiling uncovers genetic- and T2D disease state-associated changes in cis-regulatory element use in human islets
Shubham KhetaniD, Romy KursaweiD, Ahrim YouniD, Nathan T LawloriD, Eladio J. MárqueziD, Duygu UcariD, Michael L. StitzeliD
Abstract
Genetic and environmental factors both contribute to islet dysfunction and failure, resulting in type 2 diabetes (T2D). The islet epigenome integrates these cues and can be remodeled by genetic and environmental variation. However, our knowledge of how genetic variants and T2D disease state alter human islet chromatin landscape and cis-regulatory element (RE) use is lacking. To fill this gap, we profiled and analyzed human islet chromatin accessibility maps from 19 genotyped individuals (5 with T2D) using ATAC-seq technology. Chromatin accessibility quantitative trait locus (caQTL) analyses identified 3001 sequence variants (FDR<10%) altering putative cis-RE use/activity. Islet caQTL were significantly and specifically enriched in islet stretch enhancers and islet-specific transcription factor binding motifs, such as FOXA2, NKX6.1, RFX5/6 and PDX1. Importantly, these analyses identified putative functional single nucleotide variants (SNVs) in 13 T2D-associated GWAS loci, including those previously associated with altered ZMIZ1, MTNR1B, RNF6, and ADCY5 islet expression, and linked the risk alleles to increased (n=8) or decreased (n=5) islet chromatin accessibility. Luciferase reporter assays confirmed allelic differences in cis-RE activity for 5/9 caQTL sequences tested, including a T2D-associated SNV in the IL20RA locus. Comparison of T2D and non-diabetic islets revealed 1882 open chromatin sites exhibiting T2D-associated chromatin accessibility changes (FDR<10%). Together, this study provides new insights into genetic variant and T2D disease state effects on islet cis-RE use and serves as an important resource to identify putative functional variants in T2D-and islet dysfunction-associated GWAS loci and link their risk allele to in vivo loss or gain of chromatin accessibility.
- organism: human
- assay: ATAC-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: database / resource
- approach: statistical model
- Citations
- 4
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
- Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci
Matthias Thurner, Martijn van de Bunt, … Mark I. McCarthy·eLifePeer-reviewed·Feb 7, 2018
- Single cell chromatin accessibility reveals pancreatic islet cell type- and state-specific regulatory programs of diabetes risk
Joshua Chiou, Chun Zeng, … Kyle J. Gaulton·Nature GeneticsPeer-reviewed·Apr 1, 2021
- Functional characterization of thousands of type 2 diabetes-associated and chromatin-modulating variants under steady state and endoplasmic reticulum stress
Shubham Khetan, Susan Kales, … Michael L. Stitzel·bioRxiv·Feb 12, 2020
- 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
- Pancreatic islet chromatin accessibility and conformation defines distal enhancer networks of type 2 diabetes risk
William W. Young Greenwald, Joshua Chiou, … Kyle J. Gaulton·Nature CommunicationsPeer-reviewed·May 7, 2019
- Single cell ATAC-seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures
Vivek Rai, Daniel X. Quang, … Francis S. Collins·Molecular MetabolismPeer-reviewed·Dec 20, 2019