2019
DOI: 10.1038/s41467-019-11456-7
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Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

Abstract: Excessive daytime sleepiness (EDS) affects 10–20% of the population and is associated with substantial functional deficits. Here, we identify 42 loci for self-reported daytime sleepiness in GWAS of 452,071 individuals from the UK Biobank, with enrichment for genes expressed in brain tissues and in neuronal transmission pathways. We confirm the aggregate effect of a genetic risk score of 42 SNPs on daytime sleepiness in independent Scandinavian cohorts and on other sleep disorders (restless legs syndrome, insom… Show more

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Cited by 159 publications
(139 citation statements)
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“…Sleep lengths in twins have been similar as in other Finnish studies [27]. In addition, our twin cohort has taken part in multiple genome-wide association studies, with cohort specific effect size estimates that do not differ from the metaanalysis results [35,36]. The results are also valuable from an ontogeny point of view.…”
Section: Discussionsupporting
confidence: 59%
“…Sleep lengths in twins have been similar as in other Finnish studies [27]. In addition, our twin cohort has taken part in multiple genome-wide association studies, with cohort specific effect size estimates that do not differ from the metaanalysis results [35,36]. The results are also valuable from an ontogeny point of view.…”
Section: Discussionsupporting
confidence: 59%
“…Sleep lengths in twins have been similar as in other Finnish studies [27]. In addition, our twin cohort has taken part in multiple genome-wide association studies, with cohort speci c effect size estimates that do not differ from the meta-analysis results [35,36]. The results are also valuable from an ontogeny point of view.…”
Section: Discussionsupporting
confidence: 57%
“…Large cohorts of individuals assembled for human Genomewide Association Studies (GWAS) report significant phenotypic variation in typical sleep duration, timing, and quality [8][9][10][11]. Since a fraction of this variation is genetic in origin-for instance, the Single Nucleotide Polymorphism or SNP-based heritability of sleep duration has been estimated at 9.8% [8]-and because modern human GWAS employ hundreds of thousands of individuals, human geneticists have successfully identified, and in many cases replicated small-effect loci contributing to variation in sleep parameters in human populations.…”
Section: Introductionmentioning
confidence: 99%