Screening and Mechanistic Investigation of Sleep-Related Genes
Vol. 28 (2026): 2026 2nd International Conference on Agricultural Sciences, Economics, Biomedical and Environmental Sciences (SEMBE 2026)
Received: 2026-07-18
Accepted: 2026-07-18
Published: 2026-07-18
Abstract
Sleep is a fundamental physiological requirement for maintaining life and health, and its regulatory mechanisms involve complex genetic networks and molecular pathways. In recent years, with the rapid advancement of genomics and transcriptomics technologies, systematic screening and functional characterization of sleep-related genes have become a frontier area at the intersection of neuroscience and genetics. This paper focuses on the genetic basis of sleep regulation, providing a comprehensive review of the primary methodological approaches for identifying sleep-related genes. The analysis emphasizes three major categories: circadian rhythm genes, homeostatic regulatory genes, and candidate genes associated with sleep disorders. By integrating multi-dimensional evidence from genome-wide association studies (GWAS), genetic screening experiments in model organisms, and single-cell sequencing, this study attempts to construct a theoretical analytical framework encompassing gene screening logic, functional validation pathways, and mechanistic interpretations of regulation. The theoretical rationale suggests that the functions of sleep-related genes are not operating in isolation but are embedded within a multi-layered regulatory network composed of circadian oscillators, neurotransmitter systems, and epigenetic modifications. A critical synthesis of existing research reveals significant gaps in the field, including the precision of gene-to-phenotype mapping, cross-species validation consistency, and modeling of gene-environment interaction effects. Through systematic theoretical integration, this paper provides a reference framework for topic formulation and methodological optimization in future sleep genetics research, and discusses the foundational knowledge for related clinical intervention strategies.
Keywords
References
[1] A. U. Viola, S. N. Archer, L. M. James, J. A. Groeger, J. C. Lo, D. J. Skene, and D. J. Dijk, "PER3 polymorphism predicts sleep structure and waking performance," Current Biology, vol. 17, no. 7, pp. 613–618, 2007.
[2] E. A. Boyle, Y. I. Li, and J. K. Pritchard, "An expanded view of complex traits: from polygenic to omnigenic," Cell, vol. 169, no. 7, pp. 1177–1186, 2017.
[3] C. Dubowy and A. Sehgal, "Circadian rhythms and sleep in Drosophila melanogaster," Genetics, vol. 205, no. 4, pp. 1373–1397, 2017.
[4] H. S. Dashti, S. E. Jones, A. R. Wood, J. M. Lane, V. T. Van Hees, H. Wang, and R. Saxena, "Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates," Nature Communications, vol. 10, no. 1, p. 1100, 2019.
[5] P. M. Visscher, N. R. Wray, Q. Zhang, P. Sklar, M. I. McCarthy, M. A. Brown, and J. Yang, "10 years of GWAS discovery: biology, function, and translation," The American Journal of Human Genetics, vol. 101, no. 1, pp. 5–22, 2017.
[6] K. Yamashita, F. L. Kinoshita, S. Y. Yoshida, K. Matsumoto, T. T. Mitani, H. Fujishima, and H. R. Ueda, "A whole-brain single-cell atlas of circadian neural activity in mice," Science, vol. eaea3381, 2025.
[7] M. A. Grandner, "Sleep, health, and society," Sleep Medicine Clinics, vol. 17, no. 2, pp. 117–139, 2022.
[8] A. A. Borbély, S. Daan, A. Wirz-Justice, and T. Deboer, "The two-process model of sleep regulation: a reappraisal," Journal of Sleep Research, vol. 25, no. 2, pp. 131–143, 2016.
[9] J. M. Lane, J. Liang, I. Vlasac, S. G. Anderson, D. A. Bechtold, J. Bowden, and R. Saxena, "Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits," Nature Genetics, vol. 49, no. 2, pp. 274–281, 2017.
[10] J. S. Takahashi, "Transcriptional architecture of the mammalian circadian clock," Nature Reviews Genetics, vol. 18, no. 3, pp. 164–179, 2017.
[11] Y. Xu, Q. S. Padiath, R. E. Shapiro, C. R. Jones, S. C. Wu, N. Saigoh, and Y. H. Fu, "Functional consequences of a CKIδ mutation causing familial advanced sleep phase syndrome," Nature, vol. 434, no. 7033, pp. 640–644, 2005.
[12] P. Franken and D. J. Dijk, "Circadian clock genes and sleep homeostasis," European Journal of Neuroscience, vol. 29, no. 9, pp. 1820–1829, 2009.
[13] G. Tononi and C. Cirelli, "Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration," Neuron, vol. 81, no. 1, pp. 12–34, 2014.
[14] L. Aguilar-Arnal and P. Sassone-Corsi, "The circadian epigenome: how metabolism talks to chromatin remodeling," Current Opinion in Cell Biology, vol. 25, no. 2, pp. 170–176, 2013.
[15] A. A. Borbély, "A two process model of sleep regulation," Hum Neurobiol, vol. 1, no. 3, pp. 195–204, 1982.
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Published in2026-07-18 16:27:40
DOI https://doi.org/10.70088/7repgk60
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Journal Information
- Vol. 28 (2026): 2026 2nd International Conference on Agricultural Sciences, Economics, Biomedical and Environmental Sciences (SEMBE 2026)
- 2026-07-18
- ISSN: (Print) 3078-770X/ (Online) 3078-7718
- Journal Homepage