ChatPPG.
Paper

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 +6 more
Nature Communications2019CC BY 4.0
Read paper Cite
Venue listedCatalog paper date: 2019Added to atlas: Oct 15, 2026Source
Citations—Not available
GitHub stars—Not available
HF downloads—Not available

Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.

Using genome-wide data from 697,828 UK Biobank and 23andMe participants, Jones and colleagues increased the number of genetic loci associated with being a morning person from 24 to 351. In 85,760 people with activity-monitor sleep timing, the 5% carrying the most morningness alleles slept on average 25 minutes earlier than the 5% carrying the fewest. Mendelian randomisation suggested that being a morning person is causally associated with better mental health but does not affect BMI or type 2 diabetes risk.

  • Result: Using data from 85,760 individuals with activity-monitor derived measures of sleep timing the authors 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…
At a glance
Venue
Nature Communications
Published
2019
DOI
10.1038/s41467-018-08259-7 (opens in a new tab)
arXiv
Not reported
PMID
Not reported
Licence
CC BY 4.0 (opens in a new tab)
Signals
Not reported
Form factor
Not reported
Devices
Datasets
Subjects
85,760 individuals
Code
Not reported
Added
Oct 15, 2026

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.

Verbatim fromthe publisher's DOI record· Publisher licence: https://creativecommons.org/licenses/by/4.0

Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms: ChatPPG research summary card

How it works

How Method works: Setup → Method → ResultSetup: Cohort (85,760 individuals). Method: Method. Result: Result (Using data from 85,760 individuals with activity-monitor derived measures of sleep timing the authors 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…).SetupCohort: 85,760 individualsCohort85,760 individualsMethodMethodResultResult: Using data from 85,760 individuals with activity-monitor derived measures of sleep timing the authors 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…ResultUsing data from 85,760 individuals with…
Cohort
85,760 individuals

Devices· 1

Axivity AX3
Axivity · Wrist
IMU

Illustrations by form factor; product photos are added as licences clear.

Datasets used· 1

Dataset
UK Biobank wrist accelerometer (Axivity AX3 / field 90001)
103,568 subjects · uk-biobank
IMU

Cite

@article{joneschronotypegwas697822019,
  title = {{Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms}},
  author = {Samuel E. Jones and Jacqueline M. Lane and Andrew R. Wood and Vincent T. van Hees and Jessica Tyrrell and Robin N. Beaumont and Aaron R. Jeffries and Hassan S. Dashti and Melvyn Hillsdon and Katherine S. Ruth and Marcus A. Tuke and Hanieh Yaghootkar et al.},
  year = {2019},
  journal = {Nature Communications},
  doi = {10.1038/s41467-018-08259-7}
}

History

  1. Added to the ChatPPG research hub

More on ChatPPG