Genome-wide association analysis of composite sleep health scores in 413,904 individuals
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 do...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
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Nature Research
2025
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_version_ | 1824459066397687808 |
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author | Goodman, MO Faquih, T Paz, V Nagarajan, P Lane, JM Spitzer, B Maher, M Chung, J Cade, BE Purcell, SM Zhu, X Noordam, R Phillips, AJK Kyle, SD Spiegelhalder, K Weedon, MN Lawlor, DA Rotter, JI Taylor, KD Isasi, CR Sofer, T Dashti, HS Rutter, MK Redline, S |
author_facet | Goodman, MO Faquih, T Paz, V Nagarajan, P Lane, JM Spitzer, B Maher, M Chung, J Cade, BE Purcell, SM Zhu, X Noordam, R Phillips, AJK Kyle, SD Spiegelhalder, K Weedon, MN Lawlor, DA Rotter, JI Taylor, KD Isasi, CR Sofer, T Dashti, HS Rutter, MK Redline, S |
author_sort | Goodman, MO |
collection | OXFORD |
description | 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. |
first_indexed | 2025-02-19T04:35:52Z |
format | Journal article |
id | oxford-uuid:2590fff2-e409-42fd-8982-7a81b39e3896 |
institution | University of Oxford |
language | English |
last_indexed | 2025-02-19T04:35:52Z |
publishDate | 2025 |
publisher | Nature Research |
record_format | dspace |
spelling | oxford-uuid:2590fff2-e409-42fd-8982-7a81b39e38962025-02-03T20:03:45ZGenome-wide association analysis of composite sleep health scores in 413,904 individualsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:2590fff2-e409-42fd-8982-7a81b39e3896EnglishJisc Publications RouterNature Research2025Goodman, MOFaquih, TPaz, VNagarajan, PLane, JMSpitzer, BMaher, MChung, JCade, BEPurcell, SMZhu, XNoordam, RPhillips, AJKKyle, SDSpiegelhalder, KWeedon, MNLawlor, DARotter, JITaylor, KDIsasi, CRSofer, TDashti, HSRutter, MKRedline, SRecent 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. |
spellingShingle | Goodman, MO Faquih, T Paz, V Nagarajan, P Lane, JM Spitzer, B Maher, M Chung, J Cade, BE Purcell, SM Zhu, X Noordam, R Phillips, AJK Kyle, SD Spiegelhalder, K Weedon, MN Lawlor, DA Rotter, JI Taylor, KD Isasi, CR Sofer, T Dashti, HS Rutter, MK Redline, S Genome-wide association analysis of composite sleep health scores in 413,904 individuals |
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 |
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