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

Background: It 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.

Methodology: The 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.

Results: The 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.

Conclusion: Given 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.