Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour. View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Samuel E Jones, Vincent T van Hees, Diego R Mazzotti, Pedro Marques-Vidal, Séverine Sabia, Ashley van der Spek, Hassan S Dashti, Jorgen Engmann, Desana Kocevska, Jessica Tyrrell, Robin N Beaumont, Melvyn Hillsdon, Katherine S Ruth, Marcus A Tuke, Hanieh Yaghootkar, Seth A Sharp, Yingjie Ji, Jamie W Harrison, Rachel M Freathy, Anna Murray, Annemarie I Luik, Najaf Amin, Jacqueline M Lane, Richa Saxena, Martin K Rutter, Henning Tiemeier, Zoltán Kutalik, Meena Kumari, Timothy M Frayling, Michael N Weedon, Philip R Gehrman, Andrew R Wood

ABSTRACT

Sleep is an essential human function but its regulation is poorly understood. Using accelerometer data from 85,670 UK Biobank participants, we perform a genome-wide association study of 8 derived sleep traits representing sleep quality, quantity and timing, and validate our findings in 5,819 individuals. We identify 47 genetic associations at P < 5 × 10-8, of which 20 reach a stricter threshold of P < 8 × 10-10. These include 26 novel associations with measures of sleep quality and 10 with nocturnal sleep duration. The majority of identified variants associate with a single sleep trait, except for variants previously associated with restless legs syndrome. For sleep duration we identify a missense variant (p.Tyr727Cys) in PDE11A as the likely causal variant. As a group, sleep quality loci are enriched for serotonin processing genes. Although accelerometer-derived measures of sleep are imperfect and may be affected by restless legs syndrome, these findings provide new biological insights into sleep compared to previous efforts based on self-report sleep measures. More... »

PAGES

1585

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-019-09576-1

DOI

http://dx.doi.org/10.1038/s41467-019-09576-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113261497

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30952852


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