Genetic studies of accelerometer-based sleep measures in 85,670 individuals yield new insights into human sleep behaviour
Samuel Edward Jones,
Vincent T. van Hees,
Diego R. Mazzotti,
Ashley van der Spek,
Hassan S Dashti,
Robin N Beaumont,
Katherine S. Ruth,
Marcus A. Tuke,
Jamie W. Harrison,
Rachel M Freathy,
Annemarie I. Luik,
Jacqueline M. Lane,
Martin K Rutter,
Timothy M. Frayling,
Philip R. Gehrman,
Andrew R. Wood
Posted 19 Apr 2018
bioRxiv DOI: 10.1101/303925
Posted 19 Apr 2018
Sleep is an essential human function but its regulation is poorly understood. Identifying genetic variants associated with quality, quantity and timing of sleep will provide biological insights into the regulation of sleep and potential links with disease. Using accelerometer data from 85,670 individuals in the UK Biobank, we performed a genome-wide association study of 8 accelerometer-derived sleep traits. We identified 47 genetic associations across the sleep traits (P<5x10-8) and replicated our findings in 5,819 individuals from 3 independent studies. These included 10 novel associations for sleep duration and 26 for sleep quality. Most newly identified variants were associated with a single sleep trait, but variants previously associated with restless legs syndrome were observed to be associated with multiple sleep traits. As a group, sleep quality loci were enriched for serotonin processing genes and all sleep traits were enriched for cerebellar-expressed genes. These findings provide new biological insights into sleep characteristics.
- Downloaded 1,240 times
- Download rankings, all-time:
- Site-wide: 12,357 out of 118,083
- In genetics: 663 out of 5,130
- Year to date:
- Site-wide: 44,332 out of 118,083
- Since beginning of last month:
- Site-wide: 37,389 out of 118,083
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!