1. Genome-wide association analysis of composite sleep health scores in 413,904 individuals
- Author
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Matthew O. Goodman, Tariq Faquih, Valentina Paz, Pavithra Nagarajan, Jacqueline M. Lane, Brian Spitzer, Matthew Maher, Joon Chung, Brian E. Cade, Shaun M. Purcell, Xiaofeng Zhu, Raymond Noordam, Andrew J. K. Phillips, Simon D. Kyle, Kai Spiegelhalder, Michael N. Weedon, Deborah A. Lawlor, Jerome I. Rotter, Kent D. Taylor, Carmen R. Isasi, Tamar Sofer, Hassan S. Dashti, Martin K. Rutter, Susan Redline, Richa Saxena, and Heming Wang
- Subjects
Biology (General) ,QH301-705.5 - Abstract
Abstract Recent genome-wide association studies (GWASs) of several individual sleep traits have identified hundreds of genetic loci, suggesting diverse mechanisms. Moreover, sleep traits are moderately correlated, so together may provide a more complete picture of sleep health, while illuminating distinct domains. Here we construct novel sleep health scores (SHSs) incorporating five core self-report measures: sleep duration, insomnia symptoms, chronotype, snoring, and daytime sleepiness, using additive (SHS-ADD) and five principal components-based (SHS-PCs) approaches. GWASs of these six SHSs identify 28 significant novel loci adjusting for multiple testing on six traits (p
- Published
- 2025
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