Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy

Sean L. Zheng, COVIDsortium, DBDS Genomic Consortium, The Estonian Biobank Research Team, HERMES Consortium, Albert Henry, Douglas Cannie, Michael Lee, David Miller, Kathryn A. McGurk, Isabelle Bond, Xiao Xu, Hanane Issa, Catherine Francis, Antonio De Marvao, Pantazis I. Theotokis, Rachel J. Buchan, Doug Speed, Erik Abner, Lance AdamsKrishna G. Aragam, Johan Ärnlöv, Anna Axelsson Raja, Joshua D. Backman, John Baksi, Paul J.R. Barton, Kiran J. Biddinger, Eric Boersma, Jeffrey Brandimarto, Søren Brunak, Henning Bundgaard, David J. Carey, Philippe Charron, James P. Cook, Stuart A. Cook, Spiros Denaxas, Jean François Deleuze, Alexander S. Doney, Perry Elliott, Christian Erikstrup, Tõnu Esko, Eric H. Farber-Eger, Chris Finan, Sophie Garnier, Jonas Ghouse, Vilmantas Giedraitis, Daniel F. Guðbjartsson, Christopher M. Haggerty, Brian P. Halliday, Anna Helgadottir, Harry Hemingway, Hans L. Hillege, Isabella Kardys, Lars Lind

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

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 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.

Original languageEnglish
Pages (from-to)2646-2658
Number of pages13
JournalNature Genetics
Volume56
Issue number12
DOIs
Publication statusPublished - Dec 2024

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Publisher Copyright: © The Author(s) 2024.

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