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International Journal of Physiology and Pathophysiology
SJR: 0.116

ISSN Imprimir: 2155-014X
ISSN En Línea: 2155-0158

Archives: Volume 1, 2010 to Volume 9, 2018

International Journal of Physiology and Pathophysiology

DOI: 10.1615/IntJPhysPathophys.v5.i4.40
pages 307-322

Genetic Predisposition to Essential Hypertension in Children: Analysis of 17 Single Nucleotide Polymorphisms

Sergii V. Goncharov
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine
Veronika L. Gurianova
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine
Dmytro O. Stro
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine
Tetyana I. Drevitska
Bogomolets Institute of Physiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
Sergii P. Kaplinskii
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine
Evgen A. Nastenko
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine
Maryna Litvinenko
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine
Roman V. Terletskiy
Bogomolets National Medical University, Kyiv, Ukraine
Mykola V. Khaitovych
Bogomolets National Medical University, Kyiv, Ukraine
Oleksiy O. Moibenko
International Center for Astronomical and Medico-Biological Research, National academy of Sciences of Ukraine, Department of Experimental Cardiology, Department of General and Molecular Pathophysiology, Bogomoletz institute of Physiology, Kyiv, Ukraine
Viktor E. Dosenko
Bogomolets Institute of Physiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine

SINOPSIS

The study of 17 single nucleotide polymorphisms has been performed to determine the factors of genetic predisposition to essential hypertension. Polymerase chain reaction (PCR) with subsequent analysis of restriction fragment length, allele specific PCR or real-time PCR was used for genotyping 17 single nucleotide polymorphisms in 14 genes in 145 children with essential hypertension and 144 healthy persons with following complex multivariate statistical analysis. Two single nucleotide polymorphisms (MMP9 (C−1562→T) and NOS3 (Glu298→Asp) − rs3918242 and rs1799983) were shown to represent the main independent effects with the highest predictive potential (77.1% as indicated by binary logistic regression and 74.6% testing accuracy by Multifactorial Dimensionality Reduction). MMP9 (C−1562→T) and NOS3 (Glu298→ Asp) potentially may be used to create predictive algorithm for determination of predisposition to arterial hypertension in children.


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