Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour
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...
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2019-04-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-09576-1 |
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doaj-11003410f8bd43baa3af4a034e6f94542021-05-11T11:29:17ZengNature Publishing GroupNature Communications2041-17232019-04-0110111210.1038/s41467-019-09576-1Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviourSamuel E. Jones0Vincent T. van Hees1Diego R. Mazzotti2Pedro Marques-Vidal3Séverine Sabia4Ashley van der Spek5Hassan S. Dashti6Jorgen Engmann7Desana Kocevska8Jessica Tyrrell9Robin N. Beaumont10Melvyn Hillsdon11Katherine S. Ruth12Marcus A. Tuke13Hanieh Yaghootkar14Seth A. Sharp15Yingjie Ji16Jamie W. Harrison17Rachel M. Freathy18Anna Murray19Annemarie I. Luik20Najaf Amin21Jacqueline M. Lane22Richa Saxena23Martin K. Rutter24Henning Tiemeier25Zoltán Kutalik26Meena Kumari27Timothy M. Frayling28Michael N. Weedon29Philip R. Gehrman30Andrew R. Wood31Genetics of Complex Traits, College of Medicine and Health, University of ExeterNetherlands eScience CenterCenter for Sleep and Circadian Neurobiology, University of PennsylvaniaDepartment of Medicine, Internal Medicine, Lausanne University HospitalResearch Department of Epidemiology and Public Health, University College LondonDepartment of Epidemiology, Erasmus MC University Medical CenterCenter for Genomic Medicine, Massachusetts General HospitalUCL Institute of Cardiovascular Science, Research department of Population Science and Experimental Medicine, Centre for Translational GenomicsDepartment of Epidemiology, Erasmus MC University Medical CenterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterSport and Health Sciences, College of Life and Environmental Sciences, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterDepartment of Epidemiology, Erasmus MC University Medical CenterDepartment of Epidemiology, Erasmus MC University Medical CenterCenter for Genomic Medicine, Massachusetts General HospitalCenter for Genomic Medicine, Massachusetts General HospitalDivision of Diabetes, Endocrinology and Gastroenterology, Faculty of Medicine, Biology and Health, University of ManchesterDepartment of Epidemiology, Erasmus MC University Medical CenterInstitute of Social and Preventive Medicine (IUMSP), Lausanne University HospitalISER, University of Essex, ColchesterGenetics of Complex Traits, College of Medicine and Health, University of ExeterGenetics of Complex Traits, College of Medicine and Health, University of ExeterCenter for Sleep and Circadian Neurobiology, University of PennsylvaniaGenetics of Complex Traits, College of Medicine and Health, University of ExeterQuality, 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.https://doi.org/10.1038/s41467-019-09576-1 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 |
spellingShingle |
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 Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour Nature Communications |
author_facet |
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 |
author_sort |
Samuel E. Jones |
title |
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour |
title_short |
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour |
title_full |
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour |
title_fullStr |
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour |
title_full_unstemmed |
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour |
title_sort |
genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2019-04-01 |
description |
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. |
url |
https://doi.org/10.1038/s41467-019-09576-1 |
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