Unknown

Dataset Information

0

Circadian gene variants influence sleep and the sleep electroencephalogram in humans.


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.

SUBMITTER: Chang AM 

PROVIDER: S-EPMC5267557 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications


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-rela  ...[more]

Similar Datasets

| S-EPMC8651219 | biostudies-literature
| S-EPMC10531145 | biostudies-literature
| S-EPMC6478501 | biostudies-literature
| S-EPMC4868418 | biostudies-literature
| S-EPMC3875423 | biostudies-literature
| S-EPMC9957961 | biostudies-literature
| S-EPMC9105437 | biostudies-literature
| S-EPMC4444390 | biostudies-literature
| S-EPMC3640645 | biostudies-literature
| S-EPMC11330504 | biostudies-literature