medRxivGenetic & Genomic MedicinePreprint
An autosomal dominant cardiac arrhythmia syndrome, ST Depression Syndrome, is caused by the de novo creation of a cardiomyocyte enhancer.
Carin P. de Villiers, Damien J. DownesiD, Anuj GoeliD, Alistair T. PagnamentaiD, Elizabeth OrmondroydiD, Alexander J. SparrowiD, Svanhild NornesiD, Edoardo GiacopuzziiD, Phalguni RathiD, Benjamin DaviesiD, Ron SchweßingeriD, Matthew E. GosdeniD, Robert A. BeagrieiD, Duncan ParkesiD, Rob Hastings, Stefano LiseiD, Silvia SalatinoiD, Hannah Roberts, Maria LopopoloiD, Carika WeldoniD, Amy TrebesiD, David BuckiD, Jenny C. TayloriD, Charles S RedwoodiD, Edward RowlandiD, , Hugh C WatkinsiD
Abstract
A substantial proportion of mutations underlying rare Mendelian diseases remain unknown, potentially because they lie in the non-coding genome. Here, we report the mapping of the causal mutation of an autosomal dominant cardiac arrhythmia syndrome, ST Depression Syndrome, which is associated with widespread ST-depression on the electrocardiogram together with risk of sudden death and heart failure, to the non-coding region of the KCNB1 locus. Using genetic linkage analysis, we narrowed the associated region to 1cM of the genome and then with a genome editing approach, we show that the mutation, a small complex insertion-deletion, generates a de novo gain-of-function enhancer that drives higher expression of KCNB1 in cardiomyocytes. This is the first report of a gain of de novo enhancer function causing Mendelian disease. Critically, the tissue-specific gain-of-function regulatory change could be predicted using a deep neural network. Application of a similar framework will enable identification of causal non-coding mutations and affected genes in other rare diseases.
- organism: human
- assay: whole-genome sequencing
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
- Citations
- 0
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