CYP2C19 polymorphism frequency in Russian patients in central Russia and Siberia with acute coronary syndrome

18Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

Purpose: The aim of this study is to investigate the frequency of CYP2C19*2, *3 allelic variants, associated with poor response to clopidogrel, and CYP2C19*17, associated with excessive response to clopidogrel, in patients with acute coronary syndrome (ACS) from Siberia and Moscow regions of Russia. Patients and methods: The study included 512 ACS patients who were subsequently treated with coronary arterial stenting. The subjects assigned were from the cities of Central (Novosibirsk, Kemerovo), Eastern (Irkutsk), Northern (Surgut) Siberia regions and from Moscow region. The mean age of patients enrolled was 63.9±10.9 years. Among the assigned subjects, the proportion of men accounted for 80% and women 20%. Results: According to the results obtained in the present study, from 16% up to 27.5% of patients in different regions of Russia have at least one CYP2C19 “poor metabolizer” (PM) allele variant affecting clopidogrel metabolism and, therefore, suppressing its antiplatelet activity. CYP2C19*17 allele variant was identified with the frequency of 15.4% up to 33.3%. The study revealed the presence of statistically significant differences in CYP2C19*3 allele frequency between the Russian ethnic group patients from Eastern and Central Siberia (p=0.001; odds ratio=1.05 [95% confidence interval 1.01–1.09]). Conclusion: The study revealed statistically significant differences between the allele frequencies in Eastern and Central Siberia, which can probably be caused by a considerable number of Buryats inhabiting Eastern Siberia.

Cite

CITATION STYLE

APA

Mirzaev, K. B., Zelenskaya, E. M., Barbarash, O. L., Ganyukov, V. I., Apartsin, K. A., Saraeva, N. O., … Sychev, D. A. (2017). CYP2C19 polymorphism frequency in Russian patients in central Russia and Siberia with acute coronary syndrome. Pharmacogenomics and Personalized Medicine, 10, 107–114. https://doi.org/10.2147/PGPM.S126305

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free