Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms
dc.contributor.author | Jones, S.E. | |
dc.contributor.author | Lane, J.M. | |
dc.contributor.author | Wood, A.R. | |
dc.contributor.author | van Hees, V.T. | |
dc.contributor.author | Tyrrell, J. | |
dc.contributor.author | Beaumont, R.N. | |
dc.contributor.author | Jeffries, A.R. | |
dc.contributor.author | Dashti, H.S. | |
dc.contributor.author | Hillsdon, M. | |
dc.contributor.author | Ruth, K.S. | |
dc.contributor.author | Tuke, M.A. | |
dc.contributor.author | Yaghootkar, H. | |
dc.contributor.author | Sharp, S.A. | |
dc.contributor.author | Jie, Y. | |
dc.contributor.author | Thompson, W.D. | |
dc.contributor.author | Harrison, J.W. | |
dc.contributor.author | Dawes, A. | |
dc.contributor.author | Byrne, E.M. | |
dc.contributor.author | Tiemeier, H. | |
dc.contributor.author | Allebrandt, K.V. | |
dc.contributor.author | et al. | |
dc.date.issued | 2019 | |
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. | |
dc.description.statementofresponsibility | Samuel E. Jones, Jacqueline M. Lane, Andrew R. Wood, Vincent T. van Hees, Jessica Tyrrell, Robin N. Beaumont, Aaron R. Jeffries, Hassan S. Dashti, Melvyn Hillsdon, Katherine S. Ruth, Marcus A. Tuke, Hanieh Yaghootkar, Seth A. Sharp, Yingjie Jie, William D. Thompson, Jamie W. Harrison, Amy Dawes, Enda M. Byrne, Henning Tiemeier, Karla V. Allebrandt, Jack Bowden, David W. Ray, Rachel M. Freathy, Anna Murray, Diego R. Mazzotti, Philip R. Gehrman, Debbie A. Lawlor, Timothy M. Frayling, Martin K. Rutter, David A. Hinds, Richa Saxena, Michael N. Weedon | |
dc.identifier.citation | Nature Communications, 2019; 10(1):343-1-343-11 | |
dc.identifier.doi | 10.1038/s41467-018-08259-7 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.orcid | Lawlor, D.A. [0000-0002-6793-2262] | |
dc.identifier.uri | http://hdl.handle.net/2440/124122 | |
dc.language.iso | en | |
dc.publisher | Springer Nature | |
dc.relation.grant | http://purl.org/au-research/grants/nhmrc/1145645 | |
dc.relation.grant | http://purl.org/au-research/grants/nhmrc/1078901 | |
dc.relation.grant | http://purl.org/au-research/grants/nhmrc/1087889 | |
dc.rights | © The Author(s) 2019. 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.source.uri | https://doi.org/10.1038/s41467-018-08259-7 | |
dc.subject | Circadian rhythm; genome-wide study | |
dc.title | Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms | |
dc.type | Journal article | |
pubs.publication-status | Published |