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

Nature communications 2019

["Jones SE", "van Hees VT", "Mazzotti DR", "Marques-Vidal P", "Sabia S", "van der Spek A", "Dashti HS", "Engmann J", "Kocevska D", "Tyrrell J", "Beaumont RN", "Hillsdon M", "Ruth KS", "Tuke MA", "Yaghootkar H", "Sharp SA", "Ji Y", "Harrison JW", "Freathy RM", "Murray A"]

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.

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