PHARMACOGENOMICS ANALYSIS OF GENETIC VARIANTS INFLUENCING DRUG RESPONSE

Authors

  • Dr. Narayana Varalakshmi Akula Hospitalist, Independent Researcher, India Author
  • Dr. S. K. Reshmi Assistant Professor, Department of Biotechnology, Salem College of Engineering and Technology, Salem – 636111, Tamil Nadu, India Author
  • Sridevi Sangeetha Professor, Meenakshi College of Allied Health Sciences, Meenakshi Academy of Higher Education and Research Author
  • Arunagirinathan N Dean Research, Department of Research, Meenakshi Academy of Higher Education and Research Author
  • Sonal M. Manohar Assistant Professor, Department of Biological Sciences, Sunandan Divatia School of Science, NMIMS (Deemed to be University), Mumbai – 400056, India Author
  • Dr. Aditya Assistant Professor, Forensic Medicine, Sree Balaji Medical College and Hospital, Bharath Institute of , Higher Education and Research Author

DOI:

https://doi.org/10.4238/nv07m952

Keywords:

SNP analysis, CYP450 enzymes, personalized medicine, Genotype–phenotype association, Drug metabolism, Precision medicine, Pharmacogenetic biomarkers.

Abstract

The objective of this study is to examine the role played by the genetic variants in the interindividual variability in response to drugs in a pharmacogenomic method. One hundred and eighty patients were recruited with diagnosis of [Disease] and on treatment with [Drug Name], 95 respondents were recruited and 85 non-responders. The genomic DNA was then isolated on the basis of peripheral blood samples and genotyped on the basis of selected polymorphism of important pharmacogenes (e.g., CYP2D6, CYP2C9, ABCB1) via PCR based methods and Sanger sequencing. The allele and genotype frequencies were derived and Hardy Weinberg equilibrium was ensured (p>0.05). Logistic regression established a statistical change in the drug response in the presence of the CYP2C9 variable, which associated the CYP2C9 variant allele as being significant specifically with a value of OR = 2.34 with a 95% CI: 1.453-78; p = 0.001).The relationship between the ABCB1 polymorphism exhibited a moderate correlation between the reduced drug efficacy (p = 0.012). Also, there was a 28 per cent greater incidence of adverse drug reaction in patients with the variant genotype than the individuals of the wild type. The independent contribution of these genetic variants to the treatment outcomes in multivariate analysis controlled by age, gender, and clinical variables proved the independent effect of these genetic variants (p < 0.05). Finally, the results suggest that certain pharmacogenomic patterns have a great impact on drug responses and safety, which indicates their possible application as predictors of personalised medicine and improved therapy plans.

Downloads

Published

2026-03-20

Issue

Section

Articles

How to Cite

PHARMACOGENOMICS ANALYSIS OF GENETIC VARIANTS INFLUENCING DRUG RESPONSE. (2026). Genetics and Molecular Research. https://doi.org/10.4238/nv07m952

Most read articles by the same author(s)

Similar Articles

11-20 of 183

You may also start an advanced similarity search for this article.