Genome-wide association analysis of composite sleep health scores in 413,904 individuals

作者：Matthew O. Goodman, Tariq O. Faquih, Valentina Paz, Pavithra Nagarajan, Jacqueline M. Lane, Brian Spitzer, Matthew Maher, Joon Kyo Chung, Brian E. Cade, Shaun Purcell, Xiaofeng Zhu, Raymond Noordam, Andrew J. K. Phillips, Simon David Kyle, Kai Spiegelhalder, Michael N. Weedon, Debbie A. Lawlor, Jerome I. Rotter, Kent D. Taylor, Carmen R. Isasi, Tamar Sofer, Hassan S. Dashti, Martin K. Rutter, Susan S Redline, Richa Saxena, Heming Wang · 发表于：Communications Biology · 年份：2025 · DOI：10.1038/s42003-025-07514-0 · 被引用次数：15 · 研究领域：Obesity, Physical Activity, Diet、Sleep and related disorders、Genetic Associations and Epidemiology

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 < 8.3e-9), along with 341 previously reported loci (p < 5e-08). The heritability of the first three SHS-PCs equals or exceeds that of SHS-ADD (SNP-h2 = 0.094), while revealing sleep-domain-specific genetic discoveries. Significant loci enrich in multiple brain tissues and in metabolic and neuronal pathways. Post-GWAS analyses uncover novel genetic mechanisms underlying sleep health and reveal connections (including potential causal links) to behavioral, psychological, and cardiometabolic traits. Data-driven composite sleep health scores, combining self-reported sleep duration, snoring, chronotype, insomnia, and sleepiness, provide heritable, interpretable phenotypes and novel GWAS discoveries elucidating regulatory pathways.