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Sleep polygenic risk score is associated with cognitive changes over time
dc.creator | Tsapanou A., Mourtzi N., Charisis S., Hatzimanolis A., Ntanasi E., Kosmidis M.H., Yannakoulia M., Hadjigeorgiou G., Dardiotis E., Sakka P., Stern Y., Scarmeas N. | en |
dc.date.accessioned | 2023-01-31T10:11:44Z | |
dc.date.available | 2023-01-31T10:11:44Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.3390/genes13010063 | |
dc.identifier.issn | 20734425 | |
dc.identifier.uri | http://hdl.handle.net/11615/79856 | |
dc.description.abstract | Sleep problems have been associated with cognition, both cross-sectionally and longitudinally. Specific genes have been also associated with both sleep regulation and cognition. In a large group of older non-demented adults, we aimed to (a) validate the association between Sleep Polygenic Risk Score (Sleep PRS) and self-reported sleep duration, and (b) examine the association between Sleep PRS and cognitive changes in a three-year follow-up. Participants were drawn from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD). A structured, in-person interview, consisting of a medical history report and physical examination, was conducted for each participant during each of the visits (baseline and first follow-up). In total, 1376 participants were included, having all demographic, genetic, and cognitive data, out of which, 688 had at least one follow-up visit. In addition, an extensive neuropsychological assessment examining five cognitive domains (memory, visuo-spatial ability, attention/speed of processing, executive function, and language) was administered. A PRS for sleep duration was created based on previously published, genome-wide association study meta-analysis results. In order to assess the relationship between the Sleep PRS and the rate of cognitive change, we used generalized estimating equations analyses. Age, sex, education, ApolipoproteinE-ε4 genotype status, and specific principal components were used as covariates. On a further analysis, sleep medication was used as a further covariate. Results validated the association between Sleep PRS and self-reported sleep duration (B = 1.173, E-6, p = 0.001). Further, in the longitudinal analyses, significant associations were indicated between increased Sleep PRS and decreased visuo-spatial ability trajectories, in both the unadjusted (B = −1305.220, p = 0.018) and the adjusted for the covariates model (B = −1273.59, p = 0.031). Similarly, after adding sleep medication as a covariate (B = −1372.46, p = 0.019), none of the associations between Sleep PRS and the remaining cognitive domains were significant. PRS indicating longer sleep duration was associated with differential rates of cognitive decline over time in a group of non-demented older adults. Common genetic variants may influence the association between sleep duration and healthy aging/cognitive health. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | en |
dc.language.iso | en | en |
dc.source | Genes | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121989155&doi=10.3390%2fgenes13010063&partnerID=40&md5=75a01a40030ecff6dba8da625aa035a4 | |
dc.subject | age | en |
dc.subject | aged | en |
dc.subject | APOE epsilon 4 gene | en |
dc.subject | Article | en |
dc.subject | attention | en |
dc.subject | cognition | en |
dc.subject | controlled study | en |
dc.subject | demographics | en |
dc.subject | depth perception | en |
dc.subject | education | en |
dc.subject | executive function | en |
dc.subject | female | en |
dc.subject | follow up | en |
dc.subject | gene | en |
dc.subject | genetic risk score | en |
dc.subject | genetics | en |
dc.subject | genome-wide association study | en |
dc.subject | genotype | en |
dc.subject | human | en |
dc.subject | human experiment | en |
dc.subject | language | en |
dc.subject | male | en |
dc.subject | medical history | en |
dc.subject | memory | en |
dc.subject | normal human | en |
dc.subject | physical examination | en |
dc.subject | processing speed | en |
dc.subject | self report | en |
dc.subject | sex | en |
dc.subject | sleep | en |
dc.subject | sleep polygenic risk score | en |
dc.subject | sleep time | en |
dc.subject | structured interview | en |
dc.subject | aging | en |
dc.subject | cognitive defect | en |
dc.subject | complication | en |
dc.subject | genetics | en |
dc.subject | genome-wide association study | en |
dc.subject | longitudinal study | en |
dc.subject | metabolism | en |
dc.subject | neuropsychological test | en |
dc.subject | pathology | en |
dc.subject | risk factor | en |
dc.subject | sleep | en |
dc.subject | sleep disorder | en |
dc.subject | time factor | en |
dc.subject | Aged | en |
dc.subject | Aging | en |
dc.subject | Cognitive Dysfunction | en |
dc.subject | Female | en |
dc.subject | Genome-Wide Association Study | en |
dc.subject | Humans | en |
dc.subject | Longitudinal Studies | en |
dc.subject | Male | en |
dc.subject | Neuropsychological Tests | en |
dc.subject | Risk Factors | en |
dc.subject | Sleep | en |
dc.subject | Sleep Wake Disorders | en |
dc.subject | Time Factors | en |
dc.subject | MDPI | en |
dc.title | Sleep polygenic risk score is associated with cognitive changes over time | en |
dc.type | journalArticle | en |
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