Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour.
Détails
Télécharger: 41467_2019_Article_9576.pdf (1037.68 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_689ECE78C085
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour.
Périodique
Nature communications
ISSN
2041-1723 (Electronic)
ISSN-L
2041-1723
Statut éditorial
Publié
Date de publication
05/04/2019
Peer-reviewed
Oui
Volume
10
Numéro
1
Pages
1585
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
Publication Status: epublish
Publication Status: epublish
Résumé
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 <sup>-8</sup> , of which 20 reach a stricter threshold of P < 8 × 10 <sup>-10</sup> . 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.
Mots-clé
Accelerometry/methods, Circadian Rhythm, Humans, Polymorphism, Single Nucleotide, Polysomnography/methods, Serotonin/genetics, Serotonin/metabolism, Sleep/genetics, Sleep Wake Disorders/diagnosis, Sleep Wake Disorders/genetics, Waist-Hip Ratio
Pubmed
Web of science
Open Access
Oui
Création de la notice
22/04/2019 14:09
Dernière modification de la notice
21/11/2022 8:11