Polygenic impact of morningness on the overnight dynamics of sleep spindle amplitude

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Pesonen , A-K , Merikanto , I , Halonen , R , Ujma , P , Makkonen , T , Räikkönen , K , Lahti , J & Kuula , L 2020 , ' Polygenic impact of morningness on the overnight dynamics of sleep spindle amplitude ' , Genes, Brain and Behavior , vol. 19 , no. 4 , 12641 . https://doi.org/10.1111/gbb.12641

Title: Polygenic impact of morningness on the overnight dynamics of sleep spindle amplitude
Author: Pesonen, Anu-Katriina; Merikanto, Ilona; Halonen, Risto; Ujma, Peter; Makkonen, Tommi; Räikkönen, Katri; Lahti, Jari; Kuula, Liisa
Contributor organization: Helsinki One Health (HOH)
Department of Psychology and Logopedics
Behavioural Sciences
SLEEPWELL Research Program
Cognitive Brain Research Unit
Developmental Psychology Research Group
Brain, Music and Learning
Date: 2020-04
Language: eng
Number of pages: 9
Belongs to series: Genes, Brain and Behavior
ISSN: 1601-1848
DOI: https://doi.org/10.1111/gbb.12641
URI: http://hdl.handle.net/10138/324748
Abstract: Sleep spindles are thalamocortical oscillations that contribute to sleep maintenanceand sleep-related brain plasticity. The current study is an explorative study of the cir-cadian dynamics of sleep spindles in relation to a polygenic score (PGS) for circadianpreference towards morningness. The participants represent the 17-year follow-upof a birth cohort having both genome-wide data and an ambulatory sleep electroen-cephalography measurement available (N= 154, Mean age = 16.9, SD = 0.1 years,57% girls). Based on a recent genome-wide association study, we calculated a PGSfor circadian preference towards morningness across the whole genome, including354 single-nucleotide polymorphisms. Stage 2 slow (9-12.5 Hz,N= 186 739) andfast (12.5-16 Hz,N= 135 504) sleep spindles were detected using an automatedalgorithm with individual time tags and amplitudes for each spindle. There was a sig-nificant interaction of PGS for morningness and timing of sleep spindles across thenight. These growth curve models showed a curvilinear trajectory of spindle ampli-tudes: those with a higher PGS for morningness showed higher slow spindle ampli-tudes in frontal derivations, and a faster dissipation of spindle amplitude in centralderivations. Overall, the findings provide new evidence on how individual sleep spin-dle trajectories are influenced by genetic factors associated with circadian type. Thefinding may lead to new hypotheses on the associations previously observedbetween circadian types, psychiatric problems and spindle activity.
Subject: brain
circadian rhythm
polygenic score
sleep EEG
sleep spindle
sleep timing
young adult
515 Psychology
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion

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