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Association of Chronotype, Road Traffic Accidents, and Polymorphisms in Genes Linked with the Biological Clock and the Dopaminergic System

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Objective. To study the association between single-nucleotide polymorphisms (SNP) of the RORA (rs1159814), CLOCK (rs12649507), PER3 (rs2640909), NPSR1 (rs324981), NPAS2 (rs4851377), DRD3 (rs6280), SLC6A3 (rs6347), and DBH (rs1611125) genes, chronotype parameters, and road traffic accident (RTA) driver statistics. Materials and methods. The study included 303 drivers of Moscow inter-city buses working rolling shifts. The study addressed associations between genotyping results for SNP and the Munich Chronotype Questionnaire (MCTQ) and the Shortened Sleep-Wake Pattern Assessment Questionnaire (SWPAQ), and official RTA statistics. Results and conclusions. The cohort was dominated by the mixed chronotype, with a tendency to go to bed late and able to get up early; there was a marked shift between sleep patterns between working days and rest days. The SNP of the PER3 gene showed an association with parameters of morning activity. The SNP of the CLOCK gene was associated with a change in the pattern and the risk of causing RTA, while the minor alleles of the NPSR1 and SLC6A3 genes were associated with a later chronotype and an increase in RTA risk. It is suggested that these polymorphism may be among the genetic factors linking the chronotype to the ability to work.

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References

  1. V. M. Kovalzon, Basic Somnology: Physiology and Neurochemistry of the “Sleep–Waking” Cycle, BINOM. Lab Znanii, Moscow (2011).

    Google Scholar 

  2. D. J. Dijk and M. von Schantz, “Timing and consolidation of human sleep, wakefulness, and performance by a symphony of oscillators,” J. Biol. Rhythms, 20, No. 4, 279–290 (2005), https://doi.org/10.1177/0748730405278292.

    Article  PubMed  Google Scholar 

  3. V. M. Koval’zon and V. B. Dorokhov, “The sleep–waking cycle and biorhythms in humans in different patterns of the light and dark periods of the day,” Zdorov. Obraz. XXI Veke, 15, No. 1–4, 151–162 (2013).

    Google Scholar 

  4. A. Adan, S. N. Archer, M. P. Hidalgo, L. Di Milia, V. Natale, and C. Randler, “Circadian typology: A comprehensive review,” Chronobiol. Int., 29, No. 9, 1153–1175 (2012), https://doi.org/10.3109/07420528.2012.719971.

    Article  PubMed  Google Scholar 

  5. A. A. Putilov, “Introduction of the tetra-circumplex criterion for comparison of the actual and theoretical structures of the sleep-wake adaptability,” Biol. Rhythm Res., 38, No. 1, 65–84 (2007), https://doi.org/10.1080/09291010600832453.

    Article  Google Scholar 

  6. V. B. Dorokhov, “Somnology and safety at work,” Zh. Vyssh. Nerv. Deyat., 63, No. 1, 33–47 (2013), https://doi.org/10.7868/S0044467713010048.

    Article  CAS  Google Scholar 

  7. T. Akerstedt, “Altered sleep/wake patterns and mental performance,” Physiol. Behav., 90, No. 2–3, 209–218 (2007), https://doi.org/10.1016/j.physbeh.2006.09.007.

    Article  CAS  PubMed  Google Scholar 

  8. A. S. Wagstaff and J.-A. Sigstad Lie, “Shift and night work and long working hours – a systematic review of safety implications,” Scand. J. Work Environ. Health, 37, No. 3, 173–185 (2011), doi: https://doi.org/10.5271/sjweh.3146.

    Article  PubMed  Google Scholar 

  9. A. N. Puchkova and V. B. Dorokhov, “Molecular genetic studies of individual differences in work activity,” Zh. Vyssh. Nerv. Deyat., 65, No. 2, 188–202 (2015), https://doi.org/10.7868/S0044467715020124.

    Article  CAS  Google Scholar 

  10. T. Roenneberg, A. Wirz-Justice, and M. Merrow, “Life between clocks: daily temporal patterns of human chronotypes,” J. Biol. Rhythms, 18, No. 1, 80–90 (2003), https://doi.org/10.1177/0748730402239679.

    Article  PubMed  Google Scholar 

  11. A. A. Putilov, Geometry of Individual Variation in Personality and Sleep-Wake Adaptability, Nova Science Publ. Inc., New York (2010).

    Google Scholar 

  12. J. Foret and G. Lantin, “The sleep of train drivers: an example of the effects of irregular work schedules on sleep,” in: The Sleep of Train Drivers: An Example of the Effects of Aspects of Human Efficiency (1972).

  13. J. Spada, C. Sander, R. Burkhardt, M. Hantzsch, R. Mergl, M. Scholz, U. Hegerl, and T. Hensch, “Genetic association of objective sleep phenotypes with a functional polymorphism in the neuropeptide S receptor gene,” PLoS One, 9, 98789 (2014), https://doi.org/10.1371/journal.pone.0098789.

    Article  CAS  Google Scholar 

  14. V. V. Gafarov, E. A. Gromova, I. V. Gagulin, D. O. Panov, V. N. Maksimov, and A. V. Gafarova, “Polymorphism of the neuropeptide S receptor gene (NPSR1) and its association with sleep impairment in an open population of men,” Mir Nauk. Kult. Obraz., 54, No. 5, 275–277 (2015).

    Google Scholar 

  15. D. A. Ojeda, C. S. Perea, C. L. Nino, R. M. Gutierrez, S. Lopez-Leon, H. Arboleda, A. Camargo, A. Adan, and D. A. Forero, “A novel association of two nonsynonymous polymorphisms in PER2 and PER3 genes with specific diurnal preference subscales,” Neurosci. Lett., 553, 52–56 (2013), https://doi.org/10.1016/j.neulet.2013.08.016.

    Article  CAS  PubMed  Google Scholar 

  16. K. V. Allebrandt, M. Teder-Laving, M. Akyol, I. Pichler, B. Muller-Myhsok, P. Pramstaller, M. Merrow, T. Meitinger, A. Metspalu, and T. Roenneberg, “CLOCK gene variants associate with sleep duration in two independent populations,” Biol. Psychiatry, 67, No. 11, 1040–1047 (2010), https://doi.org/10.1016/j.biopsych.2009.12.026.

    Article  CAS  PubMed  Google Scholar 

  17. S. Neufang, M. J. Geiger, G. A. Homola, M. Mahr, A. Akhrif, J. Nowak, A. Reif, M. Romanos, J. Deckert, L. Solymosi, and K. Domschke, “Modulation of prefrontal functioning in attention systems by NPSR1 gene variation,” NeuroImage, 114, 199–206 (2015), https://doi.org/10.1016/j.neuroimage.2015.03.064.

    Article  CAS  PubMed  Google Scholar 

  18. K. Laas, D. Eensoo, M. Paaver, K.-P. Lesch, A. Reif, and J. Harro, “Further evidence for the association of the NPSR1 gene A/T polymorphism (Asn107Ile) with impulsivity and hyperactivity,” J. Psychopharmacol., 29, No. 8, 878–883 (2015), https://doi.org/10.1177/0269881115573803.

    Article  CAS  PubMed  Google Scholar 

  19. T. Ruland, K. Domschke, V. Schutte, M. Zavorotnyy, H. Kugel, S. Notzon, N. Vennewald, P. Ohrmann, V. Arolt, B. Pfleiderer, and P. Zwanzger, “Neuropeptide S receptor gene variation modulates anterior cingulate cortex Glx levels during CCK-4 induced panic,” Eur. Neuropsychopharmacol., 25, No. 10, 1677–1682 (2015), https://doi.org/10.1016/j.euroneuro.2015.07.011.

    Article  CAS  PubMed  Google Scholar 

  20. A. K. Tiwari, C. C. Zai, G. Sajeev, T. Arenovich, D. J. Muller, and J. L. Kennedy, “Analysis of 34 candidate genes in bupropion and placebo remission,” Int. J. Neuropsychopharmacol., 16, No. 4, 771–781 (2013), https://doi.org/10.1017/S1461145712000843.

    Article  CAS  PubMed  Google Scholar 

  21. D. Sullivan, J. K. Pinsonneault, A. C. Papp, H. Zhu, S. Lemeshow, D. C. Mash, and W. Sadee, “Dopamine transporter DAT and receptor DRD2 variants affect risk of lethal cocaine abuse: a gene-gene-environment interaction,” Transl. Psychiatry, 3, No. 1, 222 (2013), https://doi.org/10.1038/tp.2012.146.

    Article  CAS  Google Scholar 

  22. J. K. Pinsonneault, D. D. Han, K. E. Burdick, M. Kataki, A. Bertolino, A. K. Malhotra, H. H. Gu, and W. Sadee, “Dopamine transporter gene variant affecting expression in human brain is associated with bipolar disorder,” Neuropsychopharmacology, 36, No. 8, 1644–1655 (2011), https://doi.org/10.1038/npp.2011.45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia

    A. O. Taranov, A. N. Puchkova & V. B. Dorokhov

  2. Pushkin State Institute of the Russian Language, Moscow, Russia

    A. N. Puchkova

  3. Institute of Molecular Genetics, Russian Academy of Medical Sciences, Moscow, Russia

    P. A. Slominskii & T. V. Tupitsyna

  4. Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Moscow, Russia

    V. V. Dementienko

Authors
  1. A. O. Taranov
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  2. A. N. Puchkova
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  3. P. A. Slominskii
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  4. T. V. Tupitsyna
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  5. V. V. Dementienko
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  6. V. B. Dorokhov
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Corresponding author

Correspondence to A. N. Puchkova.

Additional information

Translated from Zhurnal Nevrologii i Psikhiatrii imeni S. S. Korsakova, Vol. 117, No. 4, Iss. II, Sleep Disorder, pp. 28–33, April, 2017.

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Taranov, A.O., Puchkova, A.N., Slominskii, P.A. et al. Association of Chronotype, Road Traffic Accidents, and Polymorphisms in Genes Linked with the Biological Clock and the Dopaminergic System. Neurosci Behav Physi 49, 20–24 (2019). https://doi.org/10.1007/s11055-018-0685-2

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  • DOI: https://doi.org/10.1007/s11055-018-0685-2

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