학술논문
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour
Document Type
article
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
Source
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Subject
Language
English
ISSN
2041-1723
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.