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Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population

Author

Listed:
  • Nobuyuki Enzan

    (RIKEN Center for Integrative Medical Sciences
    Massachusetts General Hospital
    The Broad Institute of MIT and Harvard)

  • Kazuo Miyazawa

    (RIKEN Center for Integrative Medical Sciences)

  • Satoshi Koyama

    (RIKEN Center for Integrative Medical Sciences
    Massachusetts General Hospital
    Broad Institute of Harvard and MIT)

  • Ryo Kurosawa

    (RIKEN Center for Integrative Medical Sciences)

  • Hirotaka Ieki

    (RIKEN Center for Integrative Medical Sciences
    Stanford University School of Medicine)

  • Hiroki Yoshida

    (RIKEN Center for Integrative Medical Sciences
    The University of Tokyo)

  • Fumie Takechi

    (RIKEN Center for Integrative Medical Sciences
    Chiba University)

  • Masashi Fukuyama

    (RIKEN Center for Integrative Medical Sciences
    The University of Tokyo)

  • Ryosuke Osako

    (RIKEN Center for Integrative Medical Sciences
    Saga University)

  • Kohei Tomizuka

    (RIKEN Center for Integrative Medical Sciences)

  • Xiaoxi Liu

    (RIKEN Center for Integrative Medical Sciences)

  • Kouichi Ozaki

    (RIKEN Center for Integrative Medical Sciences
    National Center for Geriatrics and Gerontology)

  • Yoshihiro Onouchi

    (RIKEN Center for Integrative Medical Sciences
    Chiba University Graduate School of Medicine)

  • Koichi Matsuda

    (The University of Tokyo)

  • Yukihide Momozawa

    (RIKEN Center for Integrative Medical Sciences)

  • Hiroyuki Aburatani

    (The University of Tokyo)

  • Yoichiro Kamatani

    (The University of Tokyo)

  • Takanori Yamaguchi

    (Saga University)

  • Hiroshi Akazawa

    (The University of Tokyo)

  • Koichi Node

    (Saga University)

  • Patrick T. Ellinor

    (Massachusetts General Hospital
    The Broad Institute of MIT and Harvard
    Mass General Brigham)

  • Michael G. Levin

    (University of Pennsylvania
    Corporal Michael J. Crescenz VA Medical Center)

  • Scott M. Damrauer

    (Corporal Michael J. Crescenz VA Medical Center
    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Benjamin F. Voight

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Jacob Joseph

    (Veterans Affairs Providence Healthcare System
    Brown University)

  • Yan V. Sun

    (VA Atlanta Health Care System
    Emory University Rollins School of Public Health)

  • Chikashi Terao

    (RIKEN Center for Integrative Medical Sciences)

  • Toshiharu Ninomiya

    (Kyushu University)

  • Issei Komuro

    (The University of Tokyo
    International University of Health and Welfare)

  • Kaoru Ito

    (RIKEN Center for Integrative Medical Sciences
    Chiba University)

Abstract

To understand the genetic basis of heart failure (HF) in the Japanese population, we performed genome-wide association studies (GWASs) comprising 16,251 all-cause HF cases, 4254 HF with reduced ejection fraction (HFrEF) cases, 7154 HF with preserved ejection fraction cases, and 11,122 non-ischemic HF cases among 213,828 individuals and identified five novel loci. A subsequent cross-ancestry meta-analysis and multi-trait analysis of the GWAS data identified 19 novel loci in total, with 31 out of the 76 genome-wide significant loci associated with HFrEF despite its smaller sample size. Among these susceptibility loci, a common non-coding variant in TTN (rs1484116) was associated with reduced cardiac function and worse long-term mortality. We leveraged the HF meta-GWASs along with cardiac function-related GWASs to develop a polygenic risk score (PRS) for HF. The PRS successfully identified early-onset HF and those with an increased risk of long-term HF mortality. Our results shed light on the shared and distinct genetic basis of HF between Japanese and European populations and improve the clinical value of HF genetics.

Suggested Citation

  • Nobuyuki Enzan & Kazuo Miyazawa & Satoshi Koyama & Ryo Kurosawa & Hirotaka Ieki & Hiroki Yoshida & Fumie Takechi & Masashi Fukuyama & Ryosuke Osako & Kohei Tomizuka & Xiaoxi Liu & Kouichi Ozaki & Yosh, 2025. "Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64659-6
    DOI: 10.1038/s41467-025-64659-6
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    References listed on IDEAS

    as
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