The dihydropyrimidine dehydrogenase gene contributes to heritable differences in sleep in mice

@article{Keenan2021TheDD,
  title={The dihydropyrimidine dehydrogenase gene contributes to heritable differences in sleep in mice},
  author={Brendan T. Keenan and Raymond J. Galante and Jie Lian and Lin Zhang and Xiaofeng Guo and Olivia J. Veatch and Elissa J. Chesler and W. Timothy O’Brien and Karen L. Svenson and Gary A. Churchill and Allan I. Pack},
  journal={Current Biology},
  year={2021},
  volume={31},
  pages={5238-5248.e7}
}
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References

SHOWING 1-10 OF 84 REFERENCES
A novel BHLHE41 variant is associated with short sleep and resistance to sleep deprivation in humans.
TLDR
New variants of the BHLHE41 gene are identified in two cohorts who had either acute sleep deprivation or chronic partial sleep deprivation and were associated with reduced sleep duration, less recovery sleep following sleep deprivation, and fewer performance lapses during sleep deprivation.
A genetic screen for sleep and circadian mutants reveals mechanisms underlying regulation of sleep in Drosophila.
TLDR
The data suggest that most short-sleeping mutant phenotypes in Drosophila are characterized by an inability to stay asleep, most likely because of a reduced arousal threshold.
High-throughput sleep phenotyping produces robust and heritable traits in Diversity Outbred mice and their founder strains.
TLDR
A high-throughput phenotyping strategy in mice, based primarily on monitoring of activity patterns, provides reliable and heritable estimates of sleep and circadian traits.
Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways
TLDR
A large genetic association sample is used to detect novel loci and gain insight into the pathways, tissue and cell types involved in insomnia complaints, identifying 202 loci implicating 956 genes through positional, expression quantitative trait loci, and chromatin mapping.
Heritability of Sleep Electroencephalogram
GWAS identifies 14 loci for device-measured physical activity and sleep duration
TLDR
A genome-wide association study of device-measured physical activity and sleep duration in 91,105 UK Biobank participants, finding 14 significant loci (7 novel) and advocating the value of physical activity for reducing blood pressure.
Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour
TLDR
Although accelerometer-derived measures of sleep are imperfect and may be affected by restless legs syndrome, these findings provide new biological insights into sleep compared to previous efforts based on self-report sleep measures.
Novel method for high-throughput phenotyping of sleep in mice.
TLDR
The method gives excellent agreement in C57BL/6J male mice with simultaneous assessment of sleep by EEG/EMG recording and has applications in chemical mutagenesis and for studies of molecular changes in brain with sleep/wakefulness.
Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates
TLDR
Performing GWAS for self-reported habitual sleep duration in adults, supported by accelerometer-derived measures, and identifying genetic correlation with psychiatric and metabolic traits provides insights into the genetic basis for inter-individual variation in sleep duration implicating multiple biological pathways.
Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits
Chronic sleep disturbances, associated with cardiometabolic diseases, psychiatric disorders and all-cause mortality, affect 25–30% of adults worldwide. Although environmental factors contribute
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