Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy
Zheng, Sean L.; Henry, Albert; Cannie, Douglas; Lee, Michael; Miller, David; McGurk, Kathryn A.; Bond, Isabelle; Xu, Xiao; Issa, Hanane; Francis, Catherine; De Marvao, Antonio; Theotokis, Pantazis I.; Buchan, Rachel J.; Speed, Doug; Abner, Erik; Adams, Lance; Aragam, Krishna G.; Ärnlöv, Johan; Raja, Anna Axelsson; Backman, Joshua D.; Baksi, John; Barton, Paul J.R.; Biddinger, Kiran J.; Boersma, Eric; Brandimarto, Jeffrey; Brunak, Søren; Bundgaard, Henning; Carey, David J.; Charron, Philippe; Cook, James P.; Cook, Stuart A.; Denaxas, Spiros; Deleuze, Jean François; Doney, Alexander S.; Elliott, Perry; Erikstrup, Christian; Esko, Tõnu; Farber-Eger, Eric H.; Finan, Chris; Garnier, Sophie; Ghouse, Jonas; Giedraitis, Vilmantas; Guðbjartsson, Daniel F.; Tragante, Vinicius; van Setten, Jessica; van Vugt, Marion; Verschuren, W. M.Monique; van Vugt, Marion; Asselbergs, Folkert W.; COVIDsortium; DBDS Genomic Consortium; Estonian Biobank Research Team; HERMES Consortium
(2024) Nature genetics, volume 56, issue 12, pp.
(Article)
Abstract
Dilated cardiomyopathy (DCM) is a leading cause of heart failure and cardiac transplantation. We report a genome-wide association study and multi-trait analysis of DCM (14,256 cases) and three left ventricular traits (36,203 UK Biobank participants). We identified 80 genomic risk loci and prioritized 62 putative effector genes, including several with
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rare variant DCM associations (MAP3K7, NEDD4L and SSPN). Using single-nucleus transcriptomics, we identify cellular states, biological pathways, and intracellular communications that drive pathogenesis. We demonstrate that polygenic scores predict DCM in the general population and modify penetrance in carriers of rare DCM variants. Our findings may inform the design of genetic testing strategies that incorporate polygenic background. They also provide insights into the molecular etiology of DCM that may facilitate the development of targeted therapeutics.
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Keywords: Genetics
ISSN: 1061-4036
Publisher: Nature Research
Note: Publisher Copyright: © The Author(s) 2024.
(Peer reviewed)