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Genome-wide association study investigating short and long sleep duration: a cross-population meta-analysis

Austin-Zimmerman, I.; Levey, D. F.; Giannakopoulou, O.; Deak, J. D.; Galimberti, M.; Zhou, H.; Denaxas, S.; Irizar, H.; Kuchenbaecker, K.; McQuillin, A.; The Million Veteran Program, ; Concato, J.; Buysse, D. J.; Gaziano, J. M.; Gottlieb, D. J.; Polimanti, R.; Stein, M. B.; Bramon, E.; Gelernter, J.

2022-09-09 genetic and genomic medicine
10.1101/2022.09.09.22279703 medRxiv
Show abstract

Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We conducted genome-wide association studies of short ([≤]5 hours) and long ([≥]10 hours) sleep duration in adults of European, African, East Asian, and admixed-American ancestry from UK Biobank and the Million Veteran Program. In a cross-population meta-analysis we identified 84 independent loci for short sleep and 1 for long sleep. We estimated SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identified 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 revealed a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.

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