Skip to main content
SpringerLink
Log in

The combined effects of myocardial infarction risk factors: Simulation of the combined effects of gene variants, age, and smoking and an analysis of their interaction

  • Biophysics of Complex Systems
  • Published:
Biophysics Aims and scope Submit manuscript

Abstract

Regression analysis has been used to model the combined influence of adverse factors, namely, specific variants of the CRP (rs1130864), IFNG (rs2430561), TGFB1 (rs1982073), FGB (rs1800788), and PTGS1 (rs3842787) genes; age; and smoking on the risk of myocardial infarction in men, as well as the possible interactions between these factors. The individual effects of each considered genetic factor were comparable in strength to the influence of smoking on the risk of myocardial infarction, and the presence of a combination of two or more genetic variants in nonsmokers resulted in a higher risk of myocardial infarction than in noncarrier smokers. A significant interaction between the presence of the FGB allele rs1800788*T and age was discovered; the protective effect of this allele decreased with age and gradually transformed into a predisposing effect. The study demonstrated that the association of FGB rs1800788*T with the risk of myocardial infarction should be considered only in the context of interaction with age.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. R. Roberts, Circ. Res.114 (12), 1890 (2014).

  2. L. Engqvist, Anim. Behav. 70 (4), 967 (2005).

    Article  Google Scholar 

  3. H. J. Cordell, Nat. Rev. Genet. 10 (6), 392 (2009).

    Article  Google Scholar 

  4. R. M. Barsova, D. Lvovs, B. V. Titov, et al., PLOS ONE 10 (12) (2015).

  5. S. Yusuf, S. Hawken, S. Öunpuu, et al., Lancet 364 (9438), 937 (2004).

    Article  Google Scholar 

  6. P. Perdikaris, E. Kletsiou, E. Gymnopoulou, and V. Matziou, Int. J. Environ. Res. Public Health 7 (5), 2362 (2010).

    Article  Google Scholar 

  7. J. E. Cade and B. M. Margetts, J. Epidemiol. Community Health 45 (4), 270 (1991).

  8. J. D. Leon, D. M. Rendon, E. Baca-Garcia, et al., Alcohol 42 (3), 252 (2007).

    Article  Google Scholar 

  9. R. C. Klesges, J. W. Ray, and L. M. Klesges, J. Subst. Abuse 6 (4), 407 (1994).

    Article  Google Scholar 

  10. P. Primatesta, E. Falaschetti, S. Gupta, et al., Hypertension 37 (2), 187 (2001).

    Article  Google Scholar 

  11. X. J. Tan, G. P. Jiao, Y. J. Ren, et al., J. Clin. Lab. Anal. 22 (3), 159 (2008).

    Article  Google Scholar 

  12. S. A. Chang., Diabetes Metab. J. 36 (6), 399 (2012).

  13. http://www.ncbi.nlm.nih.gov/books/NBK53012.

  14. J. Simino, G. Shi, J. C. Bis, et al., Am. J. Hum. Genet. 95 (1), 24 (2014).

    Article  Google Scholar 

  15. J. Simino, R. Kume, A. T. Kraja, et al., Atherosclerosis 235 (1), 84 (2014).

    Article  Google Scholar 

  16. B. H. Shirts, S. J. Hasstedt, P. N. Hopkins, and S. C. Hunt, Atherosclerosis 217 (1), 139 (2011).

    Article  Google Scholar 

  17. G. Zh. Osmak, N. A. Matveeva, B. V. Titov, et al., Kartdiologiya (in press).

  18. A. J. Scott and C. J. Wild, J. Roy. Stat. Soc. B 48 1986).

  19. http://apps.who.int/gho/data/node.main.A865CARDIO VASCULAR?lang=en.

  20. M. J. Bland and D. J. Altman, Br. Med. J. 320 (7247), 1468 (2000).

    Article  Google Scholar 

  21. R. C. Kotzé, C. Nienaber-Rousseau, Z. De Lange, et al., Br. J. Haematol. 168 (1), 102 (2015).

    Article  Google Scholar 

  22. B. V. Titov, R. M. Barsova, M. Yu. Martynov, et al., Mol. Biol. (Moscow) 46 (1), 85 (2012).

    Article  Google Scholar 

  23. E. V. Theodoraki, T. Nikopensius, J. Suhorutsenko, et al., BMC Med. Genet. 11 (1), 1 (2010).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Russian Cardiology Research and Production Complex, Ministry of Healthcare of the Russian Federation, Moscow, 121552, Russia

    G. J. Osmak, B. V. Titov, N. A. Matveeva & O. O. Favorova

  2. Pirogov National Medical Research University, Ministry of Healthcare of the Russian Federation, Moscow, 117997, Russia

    G. J. Osmak, B. V. Titov, N. A. Matveeva & O. O. Favorova

  3. Epistatica SIA, Riga, LV-1050, Latvia

    D. Lvovs

  4. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russia

    A. V. Favorov

  5. Johns Hopkins University, 550 N Broadway, Baltimore, MD, 21205, USA

    A. V. Favorov

Authors
  1. G. J. Osmak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. Lvovs
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. B. V. Titov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. N. A. Matveeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. O. O. Favorova
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. A. V. Favorov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. V. Favorov.

Additional information

Original Russian Text © G.J. Osmak, D. Lvovs, B.V. Titov, N.A. Matveeva, O.O. Favorova, A.V. Favorov, 2017, published in Biofizika, 2017, Vol. 62, No. 1, pp. 144–150.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Osmak, G.J., Lvovs, D., Titov, B.V. et al. The combined effects of myocardial infarction risk factors: Simulation of the combined effects of gene variants, age, and smoking and an analysis of their interaction. BIOPHYSICS 62, 123–128 (2017). https://doi.org/10.1134/S0006350917010146

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0006350917010146

Keywords

Search

Navigation