Key result
11 novel functionally impaired CYP2C19 variants show high prevalence in the Chinese Han population.
Highlights a high prevalence of functionally impaired rare CYP2C19 variants in the Chinese Han population, which may impact personalized medicine such as antiplatelet therapy.
May warrant CYP2C19 screening consideration in Chinese Han patients on relevant drugs; leaves open prospective validation before practice change.
Introduction The cytochrome P450 2C19 (CYP2C19) enzyme plays a critical role in the metabolism of several clinically important drugs, but the genetic polymorphisms of CYP2C19 have been partially characterized in the Chinese population.Methods Genomic DNA from 1210 Chinese Han individuals was subjected to next-generation sequencing to screen for CYP2C19 variants, and newly identified mutations were confirmed by Sanger sequencing. CYP2C19 microsomes were expressed in vitro using an insect cell expression system, and their metabolic activity toward (S)-mephenytoin was quantified by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS).Results Genetic screening of CYP2C19 gene in 1210 Chinese Han individuals was performed and identified 11 previously unreported variants. Recombinant expression of these novel variants in insect microsomes demonstrated that approximately half of the variants exhibited protein expression levels comparable to the wild type. Using (S)-mephenytoin as a probe substrate, in vitro metabolic activity assays revealed that five variants (G79X, D188fs, A297D, A297V, and T302R) exhibited abolished enzymatic activity, whereas the remaining variants showed significantly reduced activity compared to the wild-type enzyme.Conclusion This study reveals a high prevalence of functionally impaired rare CYP2C19 variants in the Chinese Han population, underscoring their potential clinical relevance for personalized medicine.
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Lin et al. (2026) studied this question. Eleven novel CYP2C19 variants with functional impairments are highly prevalent in the Chinese Han population, impacting personalized medicine.
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