English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Human cytochrome P450 ( CYP s) genes are essential in metabolising drugs. Due to their high polymorphism, population-specific studies are of great interest. 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. 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. 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  CYP s. 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.

Exploring the Kinh Vietnamese genomic database for the polymorphisms of the P450 genes towards precision public health