Litcius/Paper detail

Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes

Albert Henry, Xiaodong Mo, Chris Finan, Mark Chaffin, Doug Speed, Hanane Issa, Spiros Denaxas, James S. Ware, Sean L. Zheng, Anders Mälarstig, Jasmine Gratton, Isabelle Bond, Carolina Roselli, D.J. Miller, Sandesh Chopade, Amand F. Schmidt, Erik Abner, Lance Adams, Charlotte Andersson, Krishna G. Aragam, Johan Ärnlöv, Géraldine Asselin, Anna Axelsson Raja, Joshua Backman, Traci M. Bartz, Kiran J. Biddinger, Mary L. Biggs, Heather L. Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R. Brown, Søren Brunak, Mie Topholm Bruun, Leonard Buckbinder, Henning Bundgaard, David J. Carey, Daniel I. Chasman, Xing Chen, James P. Cook, Tomasz Czuba, Simon de Denus, Abbas Dehghan, Graciela E. Delgado, Alex S. F. Doney, Marcus Dörr, Joseph Dowsett, Samuel C. Dudley, Gunnar Engström, Christian Erikstrup, Tõnu Esko, Eric Farber‐Eger, Stephan B. Felix, Sarah Finer, Ian Ford, Mohsen Ghanbari, Sahar Ghasemi, Jonas Ghouse, Vilmantas Giedraitis, Franco Giulianini, John S. Gottdiener, Stefan Groß, Daníel F. Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Sara Hägg, Christopher M. Haggerty, Åsa K. Hedman, Anna Helgadóttir, Harry Hemingway, Hans Hillege, Craig Hyde, Bitten Aagaard, J. Wouter Jukema, Isabella Kardys, Ravi Karra, Maryam Kavousi, Jorge R. Kizer, Marcus E. Kleber, Lars Køber, Andrea Koekemoer, Karoline Kuchenbaecker, Yi-Pin Lai, David E. Lanfear, Claudia Langenberg, Honghuang Lin, Lars Lind, Cecilia M. Lindgren, Peter P. Liu, Barry London, Brandon D. Lowery, Jian’an Luan, Steven A. Lubitz, Patrik K. E. Magnusson, Kenneth B. Margulies, Nicholas Marston, Hilary C. Martin, Winfried März, Olle Melander, Ify Mordi, Michael P. Morley

2025Nature Genetics41 citationsDOIOpen Access PDF

Abstract

Heart failure (HF) is a major contributor to global morbidity and mortality. While distinct clinical subtypes, defined by etiology and left ventricular ejection fraction, are well recognized, their genetic determinants remain inadequately understood. In this study, we report a genome-wide association study of HF and its subtypes in a sample of 1.9 million individuals. A total of 153,174 individuals had HF, of whom 44,012 had a nonischemic etiology (ni-HF). A subset of patients with ni-HF were stratified based on left ventricular systolic function, where data were available, identifying 5,406 individuals with reduced ejection fraction and 3,841 with preserved ejection fraction. We identify 66 genetic loci associated with HF and its subtypes, 37 of which have not previously been reported. Using functionally informed gene prioritization methods, we predict effector genes for each identified locus, and map these to etiologic disease clusters through phenome-wide association analysis, network analysis and colocalization. Through heritability enrichment analysis, we highlight the role of extracardiac tissues in disease etiology. We then examine the differential associations of upstream risk factors with HF subtypes using Mendelian randomization. These findings extend our understanding of the mechanisms underlying HF etiology and may inform future approaches to prevention and treatment.

Topics & Concepts

BiologyGenome-wide association studyEtiologyHeart failureGeneticsMeta-analysisGenetic associationComputational biologyAssociation (psychology)BioinformaticsGeneInternal medicineSingle-nucleotide polymorphismGenotypeMedicinePhilosophyEpistemologyGenetic Associations and EpidemiologyCardiovascular Function and Risk FactorsGenetic Mapping and Diversity in Plants and Animals
Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes | Litcius