Characterization of 48 polymorphic loci as potential markers for the risk of ischemic stroke
- Autores: Dribnokhodova O.P.1, Mironov K.O.1, Korchagin V.I.1, Dunaeva E.A.1, Akselrod E.V.1, Titkov A.V.1, Platonov A.E.1, Shipulin G.A.1
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Afiliações:
- Central Research Institute of Epidemiology
- Edição: Volume 53, Nº 6 (2017)
- Páginas: 698-702
- Seção: Human Genetics
- URL: https://journals.rcsi.science/1022-7954/article/view/188305
- DOI: https://doi.org/10.1134/S1022795417060047
- ID: 188305
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Resumo
With the aim to determine specific genetic characteristics of the population of Moscow region, we determined allele frequencies of 48 polymorphic loci (SNP) associated with the increased risk of ischemic stroke development. The genotype frequency distribution for all the SNPs corresponds to Hardy–Weinberg equilibrium. Comparison of the allele frequencies with those obtained for Caucasian populations from the databases dbSNP and 1000 Genomes Project revealed significant differences for two SNPs (rs556621 and rs556512) and seven SNPs (rs556621, rs556512, rs1801133, rs1799983, rs5918, rs328, and rs2398162), respectively. The revealed genetic features of the population make it possible to increase the accuracy and reliability of the individual genetic risk assessment of development for multifactorial diseases in the examined population.
Sobre autores
O. Dribnokhodova
Central Research Institute of Epidemiology
Autor responsável pela correspondência
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
K. Mironov
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
V. Korchagin
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
E. Dunaeva
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
E. Akselrod
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
A. Titkov
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
A. Platonov
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
G. Shipulin
Central Research Institute of Epidemiology
Email: Dribnokhodova@cmd.su
Rússia, Moscow, 111123
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