Article ; Online: Exploring the Kinh Vietnamese genomic database for the polymorphisms of the P450 genes towards precision public health
Annals of Human Biology, Vol 49, Iss 2, Pp 152-
2022 Volume 155
Abstract: Background Human cytochrome P450 (CYPs) genes are essential in metabolising drugs. Due to their high polymorphism, population-specific studies are of great interest. Aim This research examined the six CYP genes, including CYP2B6, CYP2C9, CYP2C19, CYP2D6, ...
Abstract | Background Human cytochrome P450 (CYPs) genes are essential in metabolising drugs. Due to their high polymorphism, population-specific studies are of great interest. Aim This research examined the six CYP genes, including CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A5, and CYP4F2 in the Kinh Vietnamese (KHV) for population-scale precision medicine. Subjects and methods We processed data from a genomics database of 206 healthy and unrelated KHV individuals to calculate CYP allele frequencies. First, we compared the CYP genes of the KHV to six other populations retrieved from the 1000 Genomes Project. Second, we searched the PharmGBK database for drug-CYP interaction data to compile a drug dosage recommendation for the KHV. Results We observed the diverging trends in genetic variations of CYP2B6, CYP2D6, and CYP3A5 in the KHV. Regarding phenotypic drug responses in the KHV, CYP2C19 exhibited all metabolic phenotypes at a non-trivial frequency. In addition, CYP3A5 metabolised drugs at a lower rate compared to the other five CYPs. Conclusion This is the first large-scale study to investigate multiple CYP genes in the KHV for precision medicine from a public health perspective. Differences found in the distributions of metabolizers for the KHV suggest careful prescriptions for CYP2C19 and CYP3A5-metabolised drugs. |
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Keywords | cyp450 ; pharmacogenetics ; khv ; drug dosing ; next-generation sequencing ; Biology (General) ; QH301-705.5 ; Human anatomy ; QM1-695 ; Physiology ; QP1-981 |
Language | English |
Publishing date | 2022-02-01T00:00:00Z |
Publisher | Taylor & Francis Group |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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