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

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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.

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Austin-Zimmerman, I., Levey, D. F., Giannakopoulou, O., Deak, J. D., Galimberti, M., Adhikari, K., … Gelernter, J. (2023). Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-41249-y

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