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Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration

Author

Listed:
  • Isabelle Austin-Zimmerman

    (University College London
    King’s College London)

  • Daniel F. Levey

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

  • Olga Giannakopoulou

    (University College London
    University College London)

  • Joseph D. Deak

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

  • Marco Galimberti

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

  • Keyrun Adhikari

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

  • Hang Zhou

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

  • Spiros Denaxas

    (University College London)

  • Haritz Irizar

    (University College London
    Icahn School of Medicine at Mount Sinai)

  • Karoline Kuchenbaecker

    (University College London
    University College London)

  • Andrew McQuillin

    (University College London)

  • John Concato

    (Yale University
    Food and Drug Administration (FDA))

  • Daniel J. Buysse

    (University of Pittsburgh)

  • J. Michael Gaziano

    (VA Boston Healthcare System
    Brigham & Women’s Hospital and Harvard Medical School)

  • Daniel J. Gottlieb

    (1400 VFW Parkway (111PI)
    Brigham & Women’s Hospital
    Harvard Medical School)

  • Renato Polimanti

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

  • Murray B. Stein

    (VA San Diego Healthcare System
    University of California, San Diego)

  • Elvira Bramon

    (University College London
    University College London)

  • Joel Gelernter

    (Yale University School of Medicine
    Veterans Affairs Connecticut Healthcare Center)

Abstract

Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We present genome-wide association studies of short ( ≤ 5 h) and long ( ≥ 10 h) sleep duration in adults of European (N = 445,966), African (N = 27,785), East Asian (N = 3141), and admixed-American (N = 16,250) ancestry from UK Biobank and the Million Veteran Programme. In a cross-population meta-analysis, we identify 84 independent loci for short sleep and 1 for long sleep. We estimate SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identify positive genetic correlation between short and long sleep traits (rg = 0.16 ± 0.04; p = 0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation reveals a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.

Suggested Citation

  • Isabelle Austin-Zimmerman & Daniel F. Levey & Olga Giannakopoulou & Joseph D. Deak & Marco Galimberti & Keyrun Adhikari & Hang Zhou & Spiros Denaxas & Haritz Irizar & Karoline Kuchenbaecker & Andrew M, 2023. "Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41249-y
    DOI: 10.1038/s41467-023-41249-y
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    References listed on IDEAS

    as
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