Interethnic differences in the prevalence of main cardiovascular pharmacogenetic biomarkers

Karin Mirzaev1, Sherzod Abdullaev1, Kristina Akmalova1

  • 1Federal State Budgetary Educational Institution of Further Professional Education "Russian Medical Academy of Continuous Professional Education" of The Ministry of Healthcare of The Russian Federation, Barrikadnaya Str., 2/1, Bldg. 1, Moscow, 125993, Russian Federation.

Pharmacogenomics
|June 17, 2020
PubMed

Insights

Genetic variations in key drug-metabolizing genes like CYP2C9 and VKORC1 show significant differences between ethnic groups in Russia. These pharmacogenetic findings highlight population-specific allele frequencies in the Volga and Northern Caucasus regions.

Area of Science:

  • Pharmacogenetics
  • Population Genetics
  • Genomics

Background:

  • Genetic variations in drug-metabolizing enzymes and transporters influence drug response.
  • Understanding pharmacogenetic diversity is crucial for personalized medicine.
  • Specific gene polymorphisms (CYP2C9, VKORC1, CYP2C19, ABCB1, CYP2D6, SLCO1B1) are important for drug efficacy and safety.

Purpose of the Study:

  • To investigate the prevalence of key gene polymorphisms in Russian ethnic groups.
  • To compare allele frequencies of pharmacogenetic markers between Volga (Chuvash, Mari) and Northern Caucasus (Kabardins, Ossetians) populations.

Main Methods:

  • Genotyping of 6 key genes (CYP2C9, VKORC1, CYP2C19, ABCB1, CYP2D6, SLCO1B1) was performed.
  • Study included 845 healthy volunteers from four distinct ethnic groups in the Russian Federation.
  • Allele frequencies were analyzed and compared across the studied populations.

Main Results:

  • Significant differences in allele frequencies were observed for CYP2C9, VKORC1, CYP2C19, ABCB1, CYP2D6, and SLCO1B1 polymorphisms.
  • These variations were noted between Chuvash and Kabardins, Chuvash and Ossetians, Mari and Kabardians, and Mari and Ossetians.
  • The findings indicate distinct pharmacogenetic profiles among these Russian ethnic groups.

Conclusions:

  • The study reveals significant ethnic-specific variations in the frequencies of important pharmacogenetic markers.
  • These genetic differences have implications for drug metabolism and response in different populations.
  • Results underscore the need for population-specific pharmacogenetic data to guide personalized pharmacotherapy.

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