THE PREDICTIVE ROLE OF GENETIC MARKERS IN
THE DIFFERENT TYPES DIABETES – RELATED
COMPLICATIONS

Abstract

We apply a Hardy-Weinberg mathematical equilibrium model for a prospective study of the comparison of genetic markers Calpain, Leptin, MnSod, eNos, eNosGly, LPL and AC in 100 healthy persons (control group) and 200 diabetics patients classified into five groups. The association of the genetic markers and the different type of diabetes-related complications are studied.

The associations between genetic markers and micro- and macrovascular complications were investigated for the first time for the population of diabetics in Bulgaria. The software package used for statistical modeling of real data is STATISTICA 13.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 35
Issue: 5
Year: 2022

DOI: 10.12732/ijam.v35i5.7

Download Section



Download the full text of article from here.

You will need Adobe Acrobat reader. For more information and free download of the reader, please follow this link.

References

  1. [1] E. Noiri, H. Satoh, J. Taguchi, S.V. Brodsky, A. Nakao, Y. Ogawa, S. Nishijima, T. Yokomizo, K. Tokunaga, T. Fujita, Association of eNOS Glu298Asp Polymorphism with End-Stage Renal Disease, Hypertension, 40 (2002), 535-540.
  2. [2] M. Tarek, E. Masry, A.M. Mona, Z. Abou, M. Mohamed, E. Tawil, A. Rawhia, A. Khalifa, Manganese Superoxide Dismutase Alanine to Valine Polymorphism and risk of neuropathy and nephropathy in Egyptian Type 1 Diabetic patients, Review of Diabetic Studies, 2 (2005), 70-74.
  3. [3] F. Thameem, S. Puppala, N.H. Arar, M.P. Stern, J. Blangero, R. Duggirala, H.E. Abboud, Endothelian nitric oxide synthase gene polymorphisms and their association with type 2 diabetes-related traits in Mexican Americans, Diabetes and Vascular Disease Research, 5 (2008), 109-113.
  4. [4] A. Zanchi, D.K. Moczulski, L.S. Hanna, M. Wantman, J.H. Warram, A.S. Krolewski, Risk of advanced diabetic nephropathy in type 1 diabetes is associated with endothelial nitric oxide synthase (eNOS) gene polymorphism, Kidney International, 57 (2000), 405-413.
  5. [5] K. Hibi, T. Ishigami, K. Tamura, S. Mizushima, K. Kimura, M. Ishii, S. Umemura, T. Fujita, H. Ochiai, M. Kosuge, Y. Watanabe, Infarction Endothelial Nitric Oxide Synthase (eNOS) Gene Polymorphism and Acute Myocardial, Hypertension, 32 (1998), 521-526.
  6. [6] L. Haddad, J.C. Evans, N. Gharani, C. Robertson, K. Rush, S. Wiltshire, T. Frayling, T. Wilkin, A. Demaine, A. Millward, A. Hattersley, G. Conway, N.Cox, G. Bell, S. Franks, M. Mccarthy, Variation within the Type 2 Diabetes Susceptibility Gene Calpain10 and Polycystic Ovary Syndrome, The Journal of Clinical Endocrinology & Metabolism, 87, No 6 (2002), 2606-2610.
  7. [7] J. Vaškù, A. Vaškù, Z. Dostálová, P. Bienert, Association of Leptin genetic polymorphism with gestational diabetes mellitus, Genes & Nutrition, 1, No 2 (2006), 117-124.
  8. [8] StatSoft, Inc., STATISTICA Manual (Data Analysis Software System), Version 13.0 (2019).
  9. [9] F. Griffiths, J.F. Anthony, An Introduction to Genetic Analysis. 6th Ed., W. H. Freeman, New York (1998).
  10. [10] G.H. Hardy, Mendelian proportions in a mixed population, Source: Science, New Series, 28, No 706 (1908), 49-50.
  11. [11] W. Weinberg, Über den Nachweis der Vererbung beim Menschen, Jahreshefte des Vereins für vaterländische Naturkunde in Württemberg, 64 (1908), 368-382.
  12. [12] R.A. Fisher, A new test for 2 × 2 tables, Nature, 156 (1945), 783-784.
  13. [13] R.M. Cyrus, P. Senchaudhuri, Conditional versus Unconditional Exact Tests for Comparing Two Binomials (2003), Retrieved 20 November 2009 from http://www.cytel.com/Papers/twobinomials.pdf.
  14. [14] H.M. Stauss, Doing Statistics with WinStat, Univ. of Iowa (2008), 1-75.
  15. [15] J.D. Jobson, Applied Multivariate Data Analysis Vol. II, Springer Verlag (1991), 278-303.
  16. [16] Y. Uzunova, K. Prodanova, Comparison of binary regression models for the outcome of pediatric liver transplantation, International Journal of Applied Mathematics, 35, No 4 (2022), 601-609; doi:10.12732/ijam.v35i4.8.
  17. [17] L. Lazarova, N. Stoikovikj, A. Stojanova, M. Mileva, M. Ljubenovska, Mathematical model for prediction of Covid-19 dynamics, International Journal of Applied Mathematics, 35, No 1 (2022), 119-133; doi:10.12732/ijamv35i1.9.
  18. [18] I. Larson, M.M. Hoffmann, J.M. Ordovas, E.J. Schaefer, W. Marz, J. Kreuzer, The lipoprotein lipase HindIII polymorphism: association with total cholesterol and LDL-choleterol, but not with HDL and triglycerides in 342 females, Clin. Chem., 45 (1999), 963-968.
  19. [19] S. Pashkunova, Associative Investigations of Genetic Markers Determing Type of Dibetes and Chronic Diabetes-Related Complications, PhD Thesis, Medical Academy of Bulgarian Army, Sofia, 2012, pp. 1-35 [in Bulgarian].