1Department of Pharmacology, SSS’s Divine College Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India - 423301
2Department of Quality Assurance, SSS’s Divine College Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India - 423301
3Department of Pharmaceutics, SSS’s Divine College Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India - 423301
4Department of Chemistry, SSS’s Divine College Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India - 423301
*Corresponding Author E-mail: tusharchandan510@gmail.com
Online Published on 19 March, 2026.
The field of pharmacogenomics, which examines how an individual's genetic makeup influences their response to medications, is at the forefront of a paradigm shift in modern healthcare. As part of the broader movement toward personalized medicine, pharmacogenomics enables the development and implementation of tailored therapeutic strategies aimed at optimizing efficacy and minimizing adverse drug reactions (ADRs). Traditional "one-size-fits-all" drug therapies often fail to account for interindividual variability in drug metabolism, efficacy, and toxicity factors now known to be significantly influenced by genetic differences. This review explores the scientific foundations, clinical applications, and ongoing challenges of pharmacogenomics in contemporary medical practice. We discuss the most significant pharmacogenetic markers, including polymorphisms in cytochrome P450 enzymes (such as CYP2D6, CYP2C19, and CYP2C9), drug transporter genes (e.g., SLCO1B1), and genes involved in drug targets and immune responses (e.g., HLA-B, VKORC1). Applications of pharmacogenomics are particularly advanced in oncology, cardiology, psychiatry, and infectious diseases, where genetic testing informs the use of drugs like warfarin, clopidogrel, trastuzumab, and abacavir. The integration of genetic data into clinical workflows holds the promise of not only enhancing therapeutic outcomes but also reducing healthcare costs associated with ineffective treatment and adverse effects. Despite these benefits, widespread adoption of pharmacogenomics is hindered by several challenges, including limited clinician awareness, high testing costs, insufficient regulatory frameworks, and ethical concerns related to privacy and data security. Emerging technologies such as next-generation sequencing (NGS), electronic health record (EHR) integration, and artificial intelligence (AI)-driven decision support are expected to accelerate clinical implementation. Ultimately, pharmacogenomics represents a cornerstone of precision medicine and a revolutionary step toward more individualized, effective, and safe drug therapy. This review highlights current evidence, future prospects, and the systemic changes needed to fully realize the potential of pharmacogenomics in routine clinical practice.
Pharmacogenomics, Drug Metabolism, CYP450, Genetic Polymorphism, Precision Medicine, Genomic Testing, Drug Efficacy