Search for epistatically interacting genetic variants that are associated with vasovagal syncope within biallelic combinations

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Abstract

The most common cause of transient loss of consciousness is vasovagal syncope (VVS), which occurs due to hypoperfusion of the brain due to the interruption of vegetative blood circulation control leading to arterial hypotension. It is known that there is a genetic predisposition to VVS, but the data on the role of individual genes are quite inconsistent. Using APSampler software,which based on a Markov chain Monte Carlo technique and Bayesian nonparametric statistics, we identified biallelic combinations associated with VVS and investigated the nature of interaction between their components. We used the previously obtained results of genomic typing of single nucleotide polymorphisms (SNPs) of 5 genes, the products of which are involved in neurohumoral regulation, and 4 SNPs within locus 2q32.1, supplemented with data for new individuals included in the study. The total sample included 175 patients with a confirmed diagnosis of VVS and 200 control individuals without a history of syncope. Eleven pairwise combinations of SNPs of different genes were found to be associated with VVS. Five of these combinations were epistatic, four of which included SNPs at the 2q32.1 locus located within or near noncoding RNA genes. It is suggested that genes of noncoding RNAs localized on chromosome 2 may directly or indirectly (through cascades of interactions) participate in the regulation of the activity of genes forming epistatic combinations with them.

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About the authors

B. V. Titov

Chazov National Medical Research Center of Cardiology; Pirogov Russian National Research Medical University

Email: olga.favorova@gmail.com
Russian Federation, Moscow, 121552; Moscow, 117997

N. F. Matveeva

Chazov National Medical Research Center of Cardiology; Pirogov Russian National Research Medical University

Email: olga.favorova@gmail.com
Russian Federation, Moscow, 121552; Moscow, 117997

E. A. Bazyleva

Chazov National Medical Research Center of Cardiology

Email: olga.favorova@gmail.com
Russian Federation, Moscow, 121552

A. V. Pevzner

Chazov National Medical Research Center of Cardiology

Email: olga.favorova@gmail.com
Russian Federation, Moscow, 121552

O. O. Favorova

Chazov National Medical Research Center of Cardiology; Pirogov Russian National Research Medical University

Author for correspondence.
Email: olga.favorova@gmail.com
Russian Federation, Moscow, 121552; Moscow, 117997

References

  1. Brignole M., Moya A., de Lange F.J. et al.ESC Scientific Document Group. 2018 ESC Guidelines for the diagnosis and management of syncope // European Heart J. 2018. Vol. 39. P. 1883–1948. https://doi.org/10.5603/KP.2018.0161
  2. Brignole M., Moya A., de Lange F.J. etal.Рекомендации ЕОК по диагностике и лечению синкопальных состояний 2018 // Росс. кардиол. журнал. 2019. Т. 24. № 7. С. 130–194. https://doi.org/10.15829/1560-4071-2019-7-130-194
  3. Buszko K., Kujawski S., Newton J.L., Zalewski P. Hemodynamic response to the head-up tilt testin patients with syncopeasa predictor of the test outcome: A meta-analysis approach // Front. Physiology. 2019. V. 10. https://doi.org/10.3389/fphys.2019.00184
  4. Dockx K., Avau B., De Buck E. et al. Physical manoeuvers as a preventive intervention to manage vasovagal syncope: A systematic review // PLoS One. 2019. V. 14. № 2. https://doi.org/10.1371/journal.pone.0212012
  5. Matveeva N., Titov B., Bazyleva E. et al. Towards understanding the genetic nature of vasovagal syncope // Int. J. Mol. Sci. 2021. V. 22. № 19. https://doi.org/10.3390/ijms221910316
  6. Benditt D.G., van Dijk J.G., Krishnappa D. et al. Neurohormones in the Pathophysiology of Vasovagal Syncope in Adults // Front. Cardiovascular Med. 2020. V. 7. https://doi.org/10.3389/fcvm.2020.00076
  7. Hadji-Turdeghal K., Andreasen L., Hagen C.M. etal. Genome-wide association study identifies locus at chromosome 2q32.1 associated with syncope and collapse // Cardiovascular Res. 2020. V. 116. № 1. P. 138–148. https://doi.org/10.1093/cvr/cvz106
  8. Aegisdottir H.M., Thorolfsdottir R.B., Sveinbjornsson G. et al. Genetic variants associated with syncope implicate neural and autonomic processes // European Heart J. 2023. V. 44. № 12. P. 1070–1080. https://doi.org/10.1093/eurheartj/ehad016
  9. Phillips P.C. Epistasis–the essential role of gene interactions in the structure and evolution of genetic systems // Nat. Rev. Genetics. 2008. V. 9. № 11. P. 855–867. https://doi.org/10.1038/nrg2452
  10. Titov B., Matveeva N., Kulakova O. et al. Vasovagal syncope Is associated with variants in genes involved in neurohumoral dignaling pathways // Genes (Basel). 2022. V. 13. № 9. https://doi.org/10.3390/genes13091653
  11. Матвеева Н.А., Титов Б.В., Базылева Е.А. и др. Ассоциация полиморфных вариантов генома в области 2q32.1 с развитием вазовагальных обмороков // Мол. биология. Т. 57. № 5. С. 827 – 832.
  12. Favorov A.V., Andreewski T.V., Sudomoina M.A. et al. A Markov chain Monte Carlo technique for identification of combinations of allelic variants underlying complex diseases in humans // Genetics. 2005. V. 171. P. 2113–2121. https://doi.org/10.1534/genetics.105.048090
  13. APSampler. – URL: http://apsampler.sourceforge.net/
  14. Barsova R.M., Lvovs D., Titov B.V. et al. Variants of the coagulation and inflammation genes area replicably associated with myocardial infarction and epistatically interact in Russians // PLoS One. 2015. V. 10. № 12. https://doi.org/10.1371/journal.pone.0144190
  15. Lvovs D., Фаворова О.О., Фаворов А.В. Полигенный подход к исследованиям полигенных заболеваний // Acta Naturae. 2012. Т. 4. № 3 (14). С. 62–75 https://doi.org/10.32607/20758251-2012-4-3-59-71
  16. Benarroch E.E. The autonomic nervous system: Basic anatomy and physiology // CONTINUUM: Lifelong Learning in Neurology. 2007. V. 13. P. 13–32. https://doi.org/10.1212/01.CON.0000299964.20642.9a
  17. Chen J., Lipska B.K., Halim N. et al. Functional analysis of genetic variation in catechol-O-methyltransferase (COMT): Effects on mRNA, protein, and enzyme activity in postmortem human brain // Am. J. Human Genetics. 2004. V. 75. № 5. P. 807–821. https://doi.org/10.1086/425589
  18. Vanhoutte P.M. Nitric oxide: From Ggood to bad // Ann. Vasc. Diseases. 2018. V. 1. № 1. P. 41–51. https://doi.org/10.3400/avd.ra.17-00134
  19. Augeri A.L., Tsongalis G.J., Van Heest J.L. et al. The endothelial nitric oxide synthase –786 T > C polymorphism and the exercise-induced blood pressure and nitric oxide responses among men with elevated blood pressure // Atherosclerosis. 2009. V. 204. № 2. P. e28–34. https://doi.org/10.1016/j.atherosclerosis.2008.12.015
  20. Ikenouchi-Sugita A., Yoshimura R., Kishi T. et al. Three polymorphisms of the eNOS gene and plasma levels of metabolites of nitric oxide in depressed Japanese patients: A preliminary report // Human Psychopharmacology. 2011. V. 26. № 7. P.531–534. https://doi.org/10.1002/hup.1239

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Schematic representation of biallelic combinations of polymorphic regions of various genes associated with VBO. Each combination is depicted as a pair of SNPs as rectangles connected by orange lines; triple lines connect the components of epistatic combinations, single lines are the components of combinations, epistasis between which is not detected. An asterisk near the line means that the combination is described in [11]. The yellow rectangles are SNPs in genes whose products are involved in neurohumoral regulation (group 1), the blue ones are SNPs located on chromosome 2 at locus 2q32.1 (group 2). In the green frame – the SNP, whose association with the BBO was shown only as part of combinations, in the blue frame – also alone.

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