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

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  • Sonia Shah
  • Albert Henry
  • Carolina Roselli
  • Honghuang Lin
  • Garðar Sveinbjörnsson
  • Ghazaleh Fatemifar
  • Åsa K. Hedman
  • Jemma B. Wilk
  • Michael P. Morley
  • Mark D. Chaffin
  • Anna Helgadottir
  • Niek Verweij
  • Abbas Dehghan
  • Peter Almgren
  • Charlotte Andersson
  • Krishna G. Aragam
  • Johan Ärnlöv
  • Joshua D. Backman
  • Mary L. Biggs
  • Heather L. Bloom
  • Jeffrey Brandimarto
  • Michael R. Brown
  • Leonard Buckbinder
  • David J. Carey
  • Daniel I. Chasman
  • Xing Chen
  • Xu Chen
  • Jonathan Chung
  • William Chutkow
  • James P. Cook
  • Graciela E. Delgado
  • Spiros Denaxas
  • Alexander S. Doney
  • Marcus Dörr
  • Samuel C. Dudley
  • Michael E. Dunn
  • Gunnar Engström
  • Tõnu Esko
  • Stephan B. Felix
  • Chris Finan
  • Ian Ford
  • Mohsen Ghanbari
  • Sahar Ghasemi
  • Vilmantas Giedraitis
  • Franco Giulianini
  • Køber, Lars Valeur
  • Regeneron Genetics Center
  • Stender, Steen
  • Torp-Pedersen, Christian Tobias
  • Peter Ejvin Weeke
  • Ramachandran S Vasan
  • Daniel I Swerdlow
  • R Thomas Lumbers

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 (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

Original languageEnglish
Article number163
JournalNature Communications
Volume11
Number of pages12
ISSN2041-1723
DOIs
Publication statusPublished - 2020

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