| Title: | Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration |
| Journal: | Nature Communications |
| Published: | 28 Sep 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37770476/ |
| DOI: | https://doi.org/10.1038/s41467-023-41249-y |
| URL: | https://www.nature.com/articles/s41467-023-41249-y.pdf |
Publication 9459
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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.</p>
19 Authors
- 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
- Joel Gelernter
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