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Pharmacogenomic Analysis of Genetic Variability in Drug Metabolizing Enzymes-Implications for Personalized Medicine


Article Information

Title: Pharmacogenomic Analysis of Genetic Variability in Drug Metabolizing Enzymes-Implications for Personalized Medicine

Authors: Ankur Singh, Vishnu Gupta, Akanksha Garg, Deepesh Kumar, Seema Yadav, Anup Kumar Chakraborty

Journal: Journal of Neonatal Surgery

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30

Publisher: EL-MED-Pub Publishers

Country: Pakistan

Year: 2025

Volume: 14

Issue: 6

Language: en

Keywords: drug metabolism

Categories

Abstract

Background: IIV is due in part to genetic polymorphisms of drug-metabolizing enzymes. This study aimed to compare variations in CYP2D6, CYP2C9, CYP3A4, and UGT1A1 enzymes and their activities in patients.
Methods: Genotyping for CYP2D6 (*1A/*2G/*3T), CYP2C9 (*1C/*2T/*3A), CYP3A4 (*1A/*2G), and UGT1A1 (*28T/*36A) polymorphisms in 500 participants. Genotype frequencies were obtained and checked for compatibility with Hardy-Weinberg equilibrium. Regression analysis evaluated the relationship between genotypes and enzyme activity for each enzyme.
Results: Allele frequencies which varied from 20-60% indicated that there was heterogeneity within the population. Analysis of genotype distribution revealed no deviation from Hardy-Weinberg equilibrium for any of the genotyped loci. The *1/wild-type alleles of CYP2D6, CYP2C9, and CYP3A4 had higher regression coefficients (0.45-0.55) of enzyme activity indicating that compared to variant alleles, the alleles were highly active. Comparing the two alleles for UGT1A1, *36A had a 60% higher activity versus *28T.
Conclusions: As observed, polymorphisms were statistically related to variations in enzyme activity among individuals for the analyzed drug-metabolizing enzymes


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