Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms
dc.contributor.author | Jones, SE | |
dc.contributor.author | Lane, JM | |
dc.contributor.author | Wood, AR | |
dc.contributor.author | van Hees, VT | |
dc.contributor.author | Tyrrell, J | |
dc.contributor.author | Beaumont, RN | |
dc.contributor.author | Jeffries, AR | |
dc.contributor.author | Dashti, HS | |
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 | Jie, Y | |
dc.contributor.author | Thompson, WD | |
dc.contributor.author | Harrison, JW | |
dc.contributor.author | Dawes, A | |
dc.contributor.author | Byrne, EM | |
dc.contributor.author | Tiemeier, H | |
dc.contributor.author | Allebrandt, KV | |
dc.contributor.author | Bowden, J | |
dc.contributor.author | Ray, DW | |
dc.contributor.author | Freathy, RM | |
dc.contributor.author | Murray, A | |
dc.contributor.author | Mazzotti, DR | |
dc.contributor.author | Gehrman, PR | |
dc.contributor.author | Lawlor, DA | |
dc.contributor.author | Frayling, TM | |
dc.contributor.author | Rutter, MK | |
dc.contributor.author | Hinds, DA | |
dc.contributor.author | Saxena, R | |
dc.contributor.author | Weedon, MN | |
dc.date.accessioned | 2019-01-31T15:11:19Z | |
dc.date.issued | 2019-01-29 | |
dc.description.abstract | Being a morning person is a behavioural indicator of a person’s underlying circadian rhythm. Using genome-wide data from 697,828 UK Biobank and 23andMe participants we increase the number of genetic loci associated with being a morning person from 24 to 351. Using data from 85,760 individuals with activity-monitor derived measures of sleep timing we find that the chronotype loci associate with sleep timing: the mean sleep timing of the 5% of individuals carrying the most morningness alleles is 25 min earlier than the 5% carrying the fewest. The loci are enriched for genes involved in circadian regulation, cAMP, glutamate and insulin signalling pathways, and those expressed in the retina, hindbrain, hypothalamus, and pituitary. Using Mendelian Randomisation, we show that being a morning person is causally associated with better mental health but does not affect BMI or risk of Type 2 diabetes. This study offers insights into circadian biology and its links to disease in humans. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | European Research Council | en_GB |
dc.description.sponsorship | Royal Society | en_GB |
dc.description.sponsorship | Diabetes Research and Wellness Foundation | en_GB |
dc.description.sponsorship | European Union Seventh Framework Programme (FP7/2007–2013) | en_GB |
dc.description.sponsorship | National Institutes of Health (NIH) | en_GB |
dc.description.sponsorship | University of Manchester | en_GB |
dc.description.sponsorship | National Health and Medical Research Council of Australia | en_GB |
dc.description.sponsorship | MGH Research Scholar Fund | en_GB |
dc.description.sponsorship | Dutch Medical Research Foundation grants | en_GB |
dc.identifier.citation | Vol. 10, article 343 | en_GB |
dc.identifier.doi | 10.1038/s41467-018-08259-7 | |
dc.identifier.grantnumber | MR/M005070/1 | en_GB |
dc.identifier.grantnumber | WT097835MF | en_GB |
dc.identifier.grantnumber | SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC | en_GB |
dc.identifier.grantnumber | 323195 | en_GB |
dc.identifier.grantnumber | 104150/Z/14/Z | en_GB |
dc.identifier.grantnumber | 104150/Z/14/Z | en_GB |
dc.identifier.grantnumber | 669545 | en_GB |
dc.identifier.grantnumber | 107849/Z/15/Z | en_GB |
dc.identifier.grantnumber | F32DK102323 | en_GB |
dc.identifier.grantnumber | 4T32HL007901 | en_GB |
dc.identifier.grantnumber | 1145645 | en_GB |
dc.identifier.grantnumber | 1078901 | en_GB |
dc.identifier.grantnumber | 1087889 | en_GB |
dc.identifier.grantnumber | NIH R01DK107859 | en_GB |
dc.identifier.grantnumber | NIH R01DK102696 | en_GB |
dc.identifier.grantnumber | 016.VICI.170.200 | en_GB |
dc.identifier.grantnumber | VIDI 017.106.370 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/35688 | |
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/. | en_GB |
dc.title | Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-01-31T15:11:19Z | |
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 | Data availability: Summary statistics for the top 10,000 chronotype meta-analysis variants are provided in Supplementary Data 10. The full set of UK Biobank-only chronotype and morning person GWAS summary statistics can be found at http://www.t2diabetesgenes.org/data/ and on the Sleep Disorder Knowledge Portal at http://sleepdisordergenetics.org/informational/data/. Full meta-analysis summary statistics can be requested directly from 23andMe Inc. (see https://research.23andme.com/collaborate/#publication). The GGIR R script used to generate the activity monitor measures (Supplementary Data 14) is available with the online version of this article. | en_GB |
dc.identifier.journal | Nature Communications | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2018-12-19 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-01-29 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-01-31T13:02:54Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-01-31T15:11:25Z | |
refterms.panel | A | en_GB |
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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/.