Nature Communications (Jan 2019)

Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms

  • 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

DOI
https://doi.org/10.1038/s41467-018-08259-7
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 11

Abstract

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GWAS have previously found 24 genomic loci associated with chronotype, an individual’s preference for early or late sleep timing. Here, the authors identify 327 additional loci in a sample of 697,828 individuals and further explore the relationships of chronotype with metabolic and psychiatric diseases.