Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

  • Shah, Sonia
  • Henry, Albert
  • Roselli, Carolina
  • Lin, Honghuang
  • Sveinbjornsson, Gardar
  • Fatemifar, Ghazaleh
  • Hedman, Asa K.
  • Wilk, Jemma B.
  • Morley, Michael P.
  • Chaffin, Mark D.
  • Helgadottir, Anna
  • Verweij, Niek
  • Dehghan, Abbas
  • Almgren, Peter
  • Andersson, Charlotte
  • Aragam, Krishna G.
  • Arnlov, Johan
  • Backman, Joshua D.
  • Biggs, Mary L.
  • Bloom, Heather L.
  • Brandimarto, Jeffrey
  • Brown, Michael R.
  • Buckbinder, Leonard
  • Carey, David J.
  • Chasman, Daniel I.
  • Chen, Xing
  • Chen, Xu
  • Chung, Jonathan
  • Chutkow, William
  • Cook, James P.
  • Delgado, Graciela E.
  • Denaxas, Spiros
  • Doney, Alexander S.
  • Doerr, Marcus
  • Dudley, Samuel C.
  • Dunn, Michael E.
  • Engstrom, Gunnar
  • Esko, Tonu
  • Felix, Stephan B.
  • Finan, Chris
  • Ford, Ian
  • Ghanbari, Mohsen
  • Ghasemi, Sahar
  • Giedraitis, Vilmantas
  • Giulianini, Franco
  • Gottdiener, John S.
  • van der Harst, Pim
  • Voors, Adriaan A.
  • Zhao, Jing Hua
  • Asselbergs, Folkert W.
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Publication date
January 2020
Publisher
Springer Science and Business Media LLC

Abstract

Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MY...

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