Genome-wide association analysis of composite sleep health scores in 413,904 individuals
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 di...
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Nature Portfolio
2025-01-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-07514-0 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Matthew O. Goodman |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-941f3d3c42914832a86b2a74eac3dca2 |
| institution | Kabale University |
| issn | 2399-3642 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj-art-941f3d3c42914832a86b2a74eac3dca22025-01-26T12:48:07ZengNature PortfolioCommunications Biology2399-36422025-01-018111510.1038/s42003-025-07514-0Genome-wide association analysis of composite sleep health scores in 413,904 individualsMatthew O. Goodman0Tariq Faquih1Valentina Paz2Pavithra Nagarajan3Jacqueline M. Lane4Brian Spitzer5Matthew Maher6Joon Chung7Brian E. Cade8Shaun M. Purcell9Xiaofeng Zhu10Raymond Noordam11Andrew J. K. Phillips12Simon D. Kyle13Kai Spiegelhalder14Michael N. Weedon15Deborah A. Lawlor16Jerome I. Rotter17Kent D. Taylor18Carmen R. Isasi19Tamar Sofer20Hassan S. Dashti21Martin K. Rutter22Susan Redline23Richa Saxena24Heming Wang25Division of Sleep and Circadian Disorders, Brigham and Women’s HospitalDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalInstituto de Psicología Clínica, Facultad de Psicología, Universidad de la RepúblicaDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalDivision of Cardiology, Department of Medicine, Beth Israel Deaconess Medical CenterCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical SchoolDepartment of Informatics and Health Data Science, Miller School of Medicine, University of MiamiDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of MedicineDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical CenterSchool of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash UniversitySir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of OxfordDepartment of Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, University of FreiburgGenetics of Complex Traits, University of Exeter Medical SchoolMRC Integrative Epidemiology Unit at the University of BristolThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical CenterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical CenterDepartment of Epidemiology and Population Health, Albert Einstein College of MedicineDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalBroad InstituteDivision of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of ManchesterDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalBroad InstituteDivision of Sleep and Circadian Disorders, Brigham and Women’s HospitalAbstract 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.https://doi.org/10.1038/s42003-025-07514-0 |
| spellingShingle | 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 Genome-wide association analysis of composite sleep health scores in 413,904 individuals Communications Biology |
| title | Genome-wide association analysis of composite sleep health scores in 413,904 individuals |
| title_full | Genome-wide association analysis of composite sleep health scores in 413,904 individuals |
| title_fullStr | Genome-wide association analysis of composite sleep health scores in 413,904 individuals |
| title_full_unstemmed | Genome-wide association analysis of composite sleep health scores in 413,904 individuals |
| title_short | Genome-wide association analysis of composite sleep health scores in 413,904 individuals |
| title_sort | genome wide association analysis of composite sleep health scores in 413 904 individuals |
| url | https://doi.org/10.1038/s42003-025-07514-0 |
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