1. Genome-wide association analysis of composite sleep health scores in 413,904 individuals
- Author
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Goodman, Matthew O, Faquih, Tariq, Paz, Valentina, Nagarajan, Pavithra, Lane, Jacqueline M, Spitzer, Brian, Maher, Matthew, Chung, Joon, Cade, Brian E, Purcell, Shaun M, Zhu, Xiaofeng, Noordam, Raymond, Phillips, Andrew JK, Kyle, Simon D, Spiegelhalder, Kai, Weedon, Michael N, Lawlor, Deborah A, Rotter, Jerome I, Taylor, Kent D, Isasi, Carmen R, Sofer, Tamar, Dashti, Hassan S, Rutter, Martin K, Redline, Susan, Saxena, Richa, and Wang, Heming
- Subjects
Biological Sciences ,Genetics ,Behavioral and Social Science ,Neurosciences ,Prevention ,Human Genome ,Sleep Research ,Basic Behavioral and Social Science ,2.1 Biological and endogenous factors ,Generic health relevance ,Good Health and Well Being ,Genome-Wide Association Study ,Humans ,Sleep ,Male ,Female ,Polymorphism ,Single Nucleotide ,Middle Aged ,Adult ,Biological sciences ,Biomedical and clinical sciences - 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