Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci.
Matthias ThurnerMartijn van de BuntJason M TorresAnubha MahajanVibe NylanderAmanda J BennettKyle J GaultonAmy BarrettCarla BurrowsChristopher G BellRobert LoweStephan BeckVardhman K RakyanAnna L GloynMark I McCarthyPublished in: eLife (2018)
Human genetic studies have emphasised the dominant contribution of pancreatic islet dysfunction to development of Type 2 Diabetes (T2D). However, limited annotation of the islet epigenome has constrained efforts to define the molecular mechanisms mediating the, largely regulatory, signals revealed by Genome-Wide Association Studies (GWAS). We characterised patterns of chromatin accessibility (ATAC-seq, n = 17) and DNA methylation (whole-genome bisulphite sequencing, n = 10) in human islets, generating high-resolution chromatin state maps through integration with established ChIP-seq marks. We found enrichment of GWAS signals for T2D and fasting glucose was concentrated in subsets of islet enhancers characterised by open chromatin and hypomethylation, with the former annotation predominant. At several loci (including CDC123, ADCY5, KLHDC5) the combination of fine-mapping genetic data and chromatin state enrichment maps, supplemented by allelic imbalance in chromatin accessibility pinpointed likely causal variants. The combination of increasingly-precise genetic and islet epigenomic information accelerates definition of causal mechanisms implicated in T2D pathogenesis.
Keyphrases
- genome wide
- dna methylation
- copy number
- endothelial cells
- gene expression
- transcription factor
- type diabetes
- high resolution
- dna damage
- genome wide association
- induced pluripotent stem cells
- big data
- pluripotent stem cells
- rna seq
- insulin resistance
- blood glucose
- single cell
- metabolic syndrome
- blood pressure
- healthcare
- deep learning
- quality improvement
- weight loss
- high density
- case control