BIOINFORMATIC SCREENING AND DATABASE CREATION FOR GENES ASSOCIATED TO HIGH RISK OF CEREBROVASCULAR PATHOLOGY
Dergileva Aleksandra Yakovlevna
Student, Bioengineering and Bioinformatics Department,
Volgograd State University
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Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation
Kishenevsky Aleksandr Mikhailovich
Postgraduate Student, Bioengineering and Bioinformatics Department,
Volgograd State University
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Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation
Abstract. The paper deals with the pathogenesis of cerebrovascular disease, risk factors and genetic aspects of the formation of vascular diseases of the brain and their dependence on the penetrance genetic polymorphisms. A bio-information search was carried out with the use of public resources PubMed, SNP, Gene, KEGG and all articles presented in PubMedCentral
and Scientific Electronic Library of Russian citation index (eLibrary). About 350 genes involved in the processes determining the occurrence of CVD were analyzed. Those genes were related to such control processes as viscosity and microcirculation; platelet function and vascular endothelium; macrophage and immune responses; sensitivity of neurons to hypoxia; the
protective function of the neuroglia. The number of point polymorphisms found in each of the genes ranged from 500 to 3000.
A model for building a database of genetic polymorphisms associated with a high risk of cerebrovascular pathology was created. The model let present a full picture of the structure of genetic polymorphisms associated with a high risk of cerebrovascular disease. The database has a practical application because it can be used for virtual screening and subsequent modeling of the potential effectiveness of SNP-polymorphisms as diagnostic test systems to identify individuals predisposed to cerebrovascular diseases.
Key words: cerebral ischemia, stroke, hypertensive encephalopathy, cerebrovascular pathology, gene polymorphism, database.
 Дергилева, Кишеневский.pdf |