Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour
dc.contributor.author | Jones, SE | |
dc.contributor.author | van Hees, VT | |
dc.contributor.author | Mazzotti, DR | |
dc.contributor.author | Marques-Vidal, P | |
dc.contributor.author | Sabia, S | |
dc.contributor.author | van der Spek, A | |
dc.contributor.author | Dashti, HS | |
dc.contributor.author | Engmann, J | |
dc.contributor.author | Kocevska, D | |
dc.contributor.author | Tyrrell, J | |
dc.contributor.author | Beaumont, RN | |
dc.contributor.author | Hillsdon, M | |
dc.contributor.author | Ruth, KS | |
dc.contributor.author | Tuke, MA | |
dc.contributor.author | Yaghootkar, H | |
dc.contributor.author | Sharp, SA | |
dc.contributor.author | Ji, Y | |
dc.contributor.author | Harrison, JW | |
dc.contributor.author | Freathy, RM | |
dc.contributor.author | Murray, A | |
dc.contributor.author | Luik, AI | |
dc.contributor.author | Amin, N | |
dc.contributor.author | Lane, JM | |
dc.contributor.author | Saxena, R | |
dc.contributor.author | Rutter, MK | |
dc.contributor.author | Tiemeier, H | |
dc.contributor.author | Kutalik, Z | |
dc.contributor.author | Kumari, M | |
dc.contributor.author | Frayling, TM | |
dc.contributor.author | Weedon, MN | |
dc.contributor.author | Gehrman, P | |
dc.contributor.author | Wood, AR | |
dc.date.accessioned | 2019-03-15T09:47:51Z | |
dc.date.issued | 2019-04-05 | |
dc.description.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. | en_GB |
dc.description.sponsorship | European Commission | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Diabetes Research and Wellness Foundation Fellowship. | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | Diabetes UK | en_GB |
dc.description.sponsorship | Wellcome Trust and Royal Society | en_GB |
dc.description.sponsorship | Gillings Family Foundation. | en_GB |
dc.description.sponsorship | National Institute for Health (NIH) | en_GB |
dc.identifier.citation | Vol. 10, article 1585 | en_GB |
dc.identifier.doi | 10.1038/s41467-019-09576-1 | |
dc.identifier.grantnumber | MR/P012167/1 | en_GB |
dc.identifier.grantnumber | MR/M005070/1 | en_GB |
dc.identifier.grantnumber | WT097835MF | en_GB |
dc.identifier.grantnumber | RD Lawrence fellowship grant 17/0005594 | en_GB |
dc.identifier.grantnumber | 104150/Z/14/Z | en_GB |
dc.identifier.grantnumber | 1R01HL143790-01 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/36479 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.rights | © 2019 The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | |
dc.title | Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-03-15T09:47:51Z | |
dc.identifier.issn | 2041-1723 | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | Summary statistics for the 8 UK Biobank GWAS analyses can be found at http://www.t2diabetesgenes.org/data/ and on the Sleep Disorder Knowledge Portal at http://sleepdisordergenetics.org/informational/data/. The GGIR R script used to generate the activity monitor measures is provided in Supplementary Data 10 and isavailable with the online version of this article. | en_GB |
dc.description | This research has been conducted using the UK Biobank Resource (applications 9072 and 16434). | en_GB |
dc.identifier.journal | Nature Communications | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-03-14 | |
exeter.funder | ::European Commission | en_GB |
exeter.funder | ::Medical Research Council (MRC) | en_GB |
rioxxterms.funder | European Research Council | en_GB |
rioxxterms.funder | European Research Council | en_GB |
rioxxterms.funder | European Research Council | en_GB |
rioxxterms.identifier.project | Horizon2020 LIFEPATH 633666 | en_GB |
rioxxterms.identifier.project | SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC | en_GB |
rioxxterms.identifier.project | 323195 | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-03-14 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-03-14T20:20:44Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-04-10T14:52:34Z | |
refterms.panel | A | en_GB |
rioxxterms.funder.project | 370330b4-f3eb-4c26-b075-288f076dc9dd | en_GB |
rioxxterms.funder.project | 53fa37a3-003b-4534-a1f9-615e991ec727 | en_GB |
rioxxterms.funder.project | 75e6f950-6573-418c-88ab-11741ebfbda4 | en_GB |
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Except where otherwise noted, this item's licence is described as © 2019 The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.