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dc.contributor.authorWood, Andrew R
dc.contributor.authorFrayling, Timothy M
dc.contributor.authorWeedon, Michael N
dc.date.accessioned2020-05-15T12:58:42Z
dc.date.available2020-05-15T12:58:42Z
dc.date.issued2019-08
dc.identifier.citationWang H [et al]. Genome-wide Association Analysis of Self-Reported Daytime Sleepiness Identifies 42 Loci That Suggest Biological Subtypes. Meta-Analysis. 2019 Aug 13;10(1):3503en_US
dc.identifier.pmid31409809
dc.identifier.doi10.1038/s41467-019-11456-7
dc.identifier.urihttps://rde.dspace-express.com/handle/11287/621284
dc.description.abstractExcessive 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, insomnia) and sleep traits (duration, chronotype, accelerometer-derived sleep efficiency and daytime naps or inactivity). However, individual daytime sleepiness signals vary in their associations with objective short vs long sleep, and with markers of sleep continuity. The 42 sleepiness variants primarily cluster into two predominant composite biological subtypes - sleep propensity and sleep fragmentation. Shared genetic links are also seen with obesity, coronary heart disease, psychiatric diseases, cognitive traits and reproductive ageing.en_US
dc.language.isoenen_US
dc.publisherNatureen_US
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31409809/en_US
dc.subjectWessex Classification Subject Headings::Oncology. Pathology.::Geneticsen_US
dc.titleGenome-wide Association Analysis of Self-Reported Daytime Sleepiness Identifies 42 Loci That Suggest Biological Subtypesen_US
dc.typeJournal Articleen_US
dc.identifier.journalMeta-Analysisen_US
dc.identifier.pmcidPMC6692391
dc.description.noteThis article is freely available via Open Access. Click on the Publisher URL to access the full-texten_US
dc.type.versionPublisheden_US


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