Nature Communications (Apr 2019)
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour
- Samuel E. Jones,
- Vincent T. van Hees,
- Diego R. Mazzotti,
- Pedro Marques-Vidal,
- Séverine Sabia,
- Ashley van der Spek,
- Hassan S. Dashti,
- Jorgen Engmann,
- Desana Kocevska,
- Jessica Tyrrell,
- Robin N. Beaumont,
- Melvyn Hillsdon,
- Katherine S. Ruth,
- Marcus A. Tuke,
- Hanieh Yaghootkar,
- Seth A. Sharp,
- Yingjie Ji,
- Jamie W. Harrison,
- Rachel M. Freathy,
- Anna Murray,
- Annemarie I. Luik,
- Najaf Amin,
- Jacqueline M. Lane,
- Richa Saxena,
- Martin K. Rutter,
- Henning Tiemeier,
- Zoltán Kutalik,
- Meena Kumari,
- Timothy M. Frayling,
- Michael N. Weedon,
- Philip R. Gehrman,
- Andrew R. Wood
Affiliations
- Samuel E. Jones
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Vincent T. van Hees
- Netherlands eScience Center
- Diego R. Mazzotti
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania
- Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital
- Séverine Sabia
- Research Department of Epidemiology and Public Health, University College London
- Ashley van der Spek
- Department of Epidemiology, Erasmus MC University Medical Center
- Hassan S. Dashti
- Center for Genomic Medicine, Massachusetts General Hospital
- Jorgen Engmann
- UCL Institute of Cardiovascular Science, Research department of Population Science and Experimental Medicine, Centre for Translational Genomics
- Desana Kocevska
- Department of Epidemiology, Erasmus MC University Medical Center
- Jessica Tyrrell
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Robin N. Beaumont
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Melvyn Hillsdon
- Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter
- Katherine S. Ruth
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Marcus A. Tuke
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Hanieh Yaghootkar
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Seth A. Sharp
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Yingjie Ji
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Jamie W. Harrison
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Rachel M. Freathy
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Anna Murray
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Annemarie I. Luik
- Department of Epidemiology, Erasmus MC University Medical Center
- Najaf Amin
- Department of Epidemiology, Erasmus MC University Medical Center
- Jacqueline M. Lane
- Center for Genomic Medicine, Massachusetts General Hospital
- Richa Saxena
- Center for Genomic Medicine, Massachusetts General Hospital
- Martin K. Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Medicine, Biology and Health, University of Manchester
- Henning Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center
- Zoltán Kutalik
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital
- Meena Kumari
- ISER, University of Essex, Colchester
- Timothy M. Frayling
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Michael N. Weedon
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- Philip R. Gehrman
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania
- Andrew R. Wood
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter
- DOI
- https://doi.org/10.1038/s41467-019-09576-1
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 12
Abstract
Quality, quantity and timing of sleep are important factors for overall human health. Here, the authors perform GWAS for sleep traits estimated using wearable accelerometers and identify 47 genetic associations, including 26 novel associations for measures of sleep quality and 10 for nocturnal sleep duration.
