Substantiation of a clopidogrel metabolism-associated gene (CYP2C19) variation among healthy individuals

Abstract

BackgroundIt is essential to investigate the prevalence of CYP2C19 alleles that affect drug metabolism. This study measures the allelic and genotypic frequencies of CYP2C19 loss-of-function (LoF) alleles CYP2C19∗2, CYP2C19∗3, and gain-of-function (GoF) alleles CYP2C19∗17 in the general population. MethodologyThe study involved 300 healthy subjects between the ages of 18 and 85 recruited by simple random sampling. Allele-specific touchdown PCR was employed to identify the various alleles. The genotype and allele frequencies were calculated and checked for Hardy–Weinberg equilibrium. The phenotypic prediction of ultra-rapid metabolizer (UM = ∗17/∗17), extensive metabolizer (EM = ∗1/∗17, ∗1/∗1), intermediate metabolizer (IM = ∗1/∗2, ∗1/∗3, ∗2/∗17) and poor metabolizer (PM = ∗2/∗2, ∗2/∗3, ∗3/∗3) was made based on their genotype. ResultsThe allele frequency of CYP2C19∗2, CYP2C19∗3, and CYP2C19∗17 was 0.365, 0.0033, and 0.18, respectively. The IM phenotype predominated with an overall frequency of 46.67%, including 101 subjects with ∗1/∗2, two subjects with ∗1/∗3, and 37 subjects with ∗2/∗17 genotype. This was followed by EM phenotype with an overall frequency of 35%, including 35 subjects with ∗1/∗17 and 70 subjects with ∗1/∗1 genotype. PM phenotype had an overall frequency of 12.67%, including 38 subjects with ∗2/∗2 genotype, and UM phenotype had an overall frequency of 5.67%, including 17 subjects with ∗17/∗17 genotype. ConclusionGiven the high allelic frequency of PM in the study population, a pre-treatment test to identify the individual's genotype may be recommended to decide the dosage, monitor the drug response, and avoid adverse drug reactions.