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, Heming Wang
{"title":"Genome-wide association analysis of composite sleep health scores in 413,904 individuals.","authors":"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, Heming Wang","doi":"10.1038/s42003-025-07514-0","DOIUrl":null,"url":null,"abstract":"<p><p>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-h<sup>2</sup> = 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.</p>","PeriodicalId":10552,"journal":{"name":"Communications Biology","volume":"8 1","pages":"115"},"PeriodicalIF":5.2000,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11760956/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s42003-025-07514-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
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 < 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.
期刊介绍:
Communications Biology is an open access journal from Nature Research publishing high-quality research, reviews and commentary in all areas of the biological sciences. Research papers published by the journal represent significant advances bringing new biological insight to a specialized area of research.