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bioRxiv · 10.1101/2022.02.16.480716

Multi-ancestry genome-wide analysis identifies common genetic variants for self-reported sleep duration and shared genetic effects

Scammell, B. H.·Song, Y.·Tchio, C.·Nishiyama, T.·Louie, T. L.·Dashti, H. S.·Nakatochi, M.·Zee, P.·Daghlas, I.·Momozawa, Y.·Cai, J.·Ollila, H.·Redline, S.·Wakai, K.·Sofer, T.·Suzuki, S.·Lane, J.·Saxena, R.
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Abstract

Both short and long sleep duration are associated with increased risk of chronic diseases, but the genetic determinants of sleep duration are largely unknown outside of European populations. Here we report transferability of a polygenic score of 78 European ancestry sleep duration SNPs to an African (n=7,288; p=0.003), a South Asian (n=7,485; p=0.025), and a Japanese (n=13,618; p=6x10-4) cohort, but not to a cohort of Hispanic/Latino (n- XXX; p=0.71) participants. Furthermore, in a pan-ancestry (N = 483,235) meta-analysis of genome-wide association studies (GWAS) for habitual sleep duration, 5 novel and 68 known loci are associated with genome-wide significance. For the novel loci, sleep duration signals colocalize with expression-QTLs for PRR12 and COG5 in brain tissues, and pleiotropic associations are observed with cardiovascular and neuropsychiatric traits. Overall, our results suggest that the genetic basis of sleep duration is at least partially shared across diverse ancestry groups.

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Scammell, B. H., Song, Y., Tchio, C., Nishiyama, T., Louie, T. L., Dashti, H. S., Nakatochi, M., Zee, P., Daghlas, I., Momozawa, Y., Cai, J., Ollila, H., Redline, S., Wakai, K., Sofer, T., Suzuki, S., Lane, J., Saxena, R.. 2022-02-19. Multi-ancestry genome-wide analysis identifies common genetic variants for self-reported sleep duration and shared genetic effects. https://doi.org/10.1101/2022.02.16.480716

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