| Literature DB >> 27089043 |
Anne-Marie Chang1,2,3,4, Andrew C Bjonnes3,5, Daniel Aeschbach1,2,6, Orfeu M Buxton1,2,4,7, Joshua J Gooley1,2, Clare Anderson1,2, Eliza Van Reen1,2, Sean W Cain1,2, Charles A Czeisler1,2, Jeanne F Duffy1,2, Steven W Lockley1,2, Steven A Shea1,2,8, Frank A J L Scheer1,2, Richa Saxena1,2,3,5.
Abstract
The sleep electroencephalogram (EEG) is highly heritable in humans and yet little is known about the genetic basis of inter-individual differences in sleep architecture. The aim of this study was to identify associations between candidate circadian gene variants and the polysomnogram, recorded under highly controlled laboratory conditions during a baseline, overnight, 8 h sleep opportunity. A candidate gene approach was employed to analyze single-nucleotide polymorphisms from five circadian-related genes in a two-phase analysis of 84 healthy young adults (28 F; 23.21 ± 2.97 years) of European ancestry. A common variant in Period2 (PER2) was associated with 20 min less slow-wave sleep (SWS) in carriers of the minor allele than in noncarriers, representing a 22% reduction in SWS duration. Moreover, spectral analysis in a subset of participants (n = 37) showed the same PER2 polymorphism was associated with reduced EEG power density in the low delta range (0.25-1.0 Hz) during non-REM sleep and lower slow-wave activity (0.75-4.5 Hz) in the early part of the sleep episode. These results indicate the involvement of PER2 in the homeostatic process of sleep. Additionally, a rare variant in Melatonin Receptor 1B was associated with longer REM sleep latency, with minor allele carriers exhibiting an average of 65 min (87%) longer latency from sleep onset to REM sleep, compared to noncarriers. These findings suggest that circadian-related genes can modulate sleep architecture and the sleep EEG, including specific parameters previously implicated in the homeostatic regulation of sleep.Entities:
Keywords: Circadian genes; sleep EEG; slow-wave activity; slow-wave sleep
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Year: 2016 PMID: 27089043 PMCID: PMC5267557 DOI: 10.3109/07420528.2016.1167078
Source DB: PubMed Journal: Chronobiol Int ISSN: 0742-0528 Impact factor: 2.877