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

Isabelle Austin-Zimmerman, Daniel F. Levey, Olga Giannakopoulou, Joseph D. Deak, Marco Galimberti, Keyrun Adhikari, Hang Zhou, Spiros Denaxas, Haritz Irizar, Karoline Kuchenbaecker, Andrew McQuillin, John Concato, Daniel J. Buysse, J. Michael Gaziano, Daniel J. Gottlieb, Renato Polimanti, Murray B. Stein, Elvira Bramon and Joel Gelernter ()
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Isabelle Austin-Zimmerman: University College London
Daniel F. Levey: Yale University School of Medicine
Olga Giannakopoulou: University College London
Joseph D. Deak: Yale University School of Medicine
Marco Galimberti: Yale University School of Medicine
Keyrun Adhikari: Yale University School of Medicine
Hang Zhou: Yale University School of Medicine
Spiros Denaxas: University College London
Haritz Irizar: University College London
Karoline Kuchenbaecker: University College London
Andrew McQuillin: University College London
John Concato: Yale University
Daniel J. Buysse: University of Pittsburgh
J. Michael Gaziano: VA Boston Healthcare System
Daniel J. Gottlieb: 1400 VFW Parkway (111PI)
Renato Polimanti: Yale University School of Medicine
Murray B. Stein: VA San Diego Healthcare System
Elvira Bramon: University College London
Joel Gelernter: Yale University School of Medicine

Nature Communications, 2023, vol. 14, issue 1, 1-15

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-41249-y

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