Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

Genetic risk variants that have been identified in genome-wide association studies of complex diseases are primarily non-coding 1 . Translating these risk variants into mechanistic insights requires detailed maps of gene regulation in disease-relevant cell types 2 . Here we combined two approaches:...

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Veröffentlicht in:Nature (London) 2021-06, Vol.594 (7863), p.398-402
Hauptverfasser: Chiou, Joshua, Geusz, Ryan J., Okino, Mei-Lin, Han, Jee Yun, Miller, Michael, Melton, Rebecca, Beebe, Elisha, Benaglio, Paola, Huang, Serina, Korgaonkar, Katha, Heller, Sandra, Kleger, Alexander, Preissl, Sebastian, Gorkin, David U., Sander, Maike, Gaulton, Kyle J.
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Sprache:eng
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Zusammenfassung:Genetic risk variants that have been identified in genome-wide association studies of complex diseases are primarily non-coding 1 . Translating these risk variants into mechanistic insights requires detailed maps of gene regulation in disease-relevant cell types 2 . Here we combined two approaches: a genome-wide association study of type 1 diabetes (T1D) using 520,580 samples, and the identification of candidate cis -regulatory elements (cCREs) in pancreas and peripheral blood mononuclear cells using single-nucleus assay for transposase-accessible chromatin with sequencing (snATAC–seq) of 131,554 nuclei. Risk variants for T1D were enriched in cCREs that were active in T cells and other cell types, including acinar and ductal cells of the exocrine pancreas. Risk variants at multiple T1D signals overlapped with exocrine-specific cCREs that were linked to genes with exocrine-specific expression. At the CFTR locus, the T1D risk variant rs7795896 mapped to a ductal-specific cCRE that regulated CFTR ; the risk allele reduced transcription factor binding, enhancer activity and CFTR expression in ductal cells. These findings support a role for the exocrine pancreas in the pathogenesis of T1D and highlight the power of large-scale genome-wide association studies and single-cell epigenomics for understanding the cellular origins of complex disease. A genome-wide association study combined with single-cell epigenomics identifies risk loci for type 1 diabetes.
ISSN:0028-0836
1476-4687
DOI:10.1038/s41586-021-03552-w