Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 70,458 bioRxiv papers from 307,648 authors.

Genome-wide association study provides new insights into the genetic architecture and pathogenesis of heart failure

By 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, Broad AF Investigators, Michael R Brown, Leonard Buckbinder, David J Carey, Regeneron Genetics Center, Daniel I Chasman, Xing Chen, Xu Chen, Jonathan Chung, William Chutkow, James P Cook, Graciela E Delgado, Spiros C. Denaxas, Alexander S Doney, Marcus Dörr, Samuel C Dudley, Michael E Dunn, EchoGen Consortium, Gunnar Engström, Tõnu Esko, Stephan B. Felix, Chris Finan, Ian Ford, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S Gottdiener, Stefan Gross, Daníel F Guðbjartsson, Rebecca Gutmann, Christopher M Haggerty, Pim van der Harst, Craig L Hyde, Erik Ingelsson, J. Wouter Jukema, Maryam Kavousi, Kay-Tee Khaw, Marcus E. Kleber, Lars Køber, Andrea Koekemoer, Claudia Langenberg, Lars Lind, Cecilia M. Lindgren, Barry London, Luca A Lotta, Ruth C. Lovering, Jian’an Luan, Patrik K. E. Magnusson, Anubha Mahajan, Kenneth B. Margulies, Winfried März, Olle Melander, Ify R Mordi, Thomas Morgan, Andrew D Morris, Andrew P Morris, Alanna C. Morrison, Michael W Nagle, Christopher P Nelson, Alexander Niessner, Teemu Niiranen, Michelle L. O’Donoghue, Anjali T Owens, Colin N A Palmer, Helen M Parry, Markus Perola, Eliana Portilla-Fernandez, Bruce M. Psaty, Kenneth M Rice, Paul M Ridker, Simon P R Romaine, Jerome I. Rotter, Perttu Salo, Veikko Salomaa, Jessica van Setten, Alaa A Shalaby, Diane T. Smelser, Nicholas L. Smith, Steen Stender, David J. Stott, Per Svensson, Mari-Liis Tammesoo, Kent D Taylor, Maris Teder-Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp-Pedersen, Stella Trompet, Benoit Tyl, Andre G Uitterlinden, Abirami Veluchamy, Uwe Völker, Adriaan A Voors, Xiaosong Wang, Nicholas J Wareham, Dawn Waterworth, Peter E. Weeke, Raul Weiss, Kerri L. Wiggins, Heming Xing, Laura M Yerges-Armstrong, Bing Yu, Faiez Zannad, Jing Hua Zhao, Harry Hemingway, Nilesh J. Samani, John J.V. McMurray, Jian Yang, Peter M. Visscher, Christopher Newton-Cheh, Anders Malarstig, Hilma Holm, Steven A. Lubitz, Naveed Sattar, Michael V Holmes, Thomas P. Cappola, F W Asselbergs, Aroon D. Hingorani, Karoline Kuchenbaecker, Patrick T. Ellinor, Chim C Lang, Kári Stefansson, J. Gustav Smith, Ramachandran S Vasan, Daniel I Swerdlow, R. Thomas Lumbers

Posted 10 Jul 2019
bioRxiv DOI: 10.1101/682013

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 the largest GWAS meta-analysis of HF to-date, comprising 47,309 cases and 930,014 controls. We identify 12 independent associations with HF at 11 genomic loci, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function suggesting shared genetic aetiology. Expression quantitative trait analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homeostasis (BAG3), and cellular senescence (CDKN1A). Using Mendelian randomisation analysis we provide new evidence supporting previously equivocal causal roles for several HF risk factors identified in observational studies, and demonstrate CAD-independent effects for atrial fibrillation, body mass index, hypertension and triglycerides. These findings extend our knowledge of the genes and pathways underlying HF and may inform the development of new therapeutic approaches.

Download data

  • Downloaded 1,190 times
  • Download rankings, all-time:
    • Site-wide: 6,199 out of 70,458
    • In genetics: 485 out of 3,906
  • Year to date:
    • Site-wide: 1,969 out of 70,458
  • Since beginning of last month:
    • Site-wide: 1,875 out of 70,458

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)