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Cataloging Actionable Pharmacogenomic Variants for Indian Clinical Practice: A Scoping Review
Sacheta Sudhendra Kulkarni1, Venkatesh R1, Anuradha Das1,2
1Tata Institute for Genetics and Society, Gandhi Krishi Vignana Kendra Campus, Bellary Road, Bengaluru 560065, Karnataka, India.
Journal of Xenobiotics
|July 23, 2025
Summary
Pharmacogenomics (PGx) data is crucial for personalized medicine in India. This study identifies key genes and actionable PGx variants for 57 drugs, highlighting the need for Indian-specific data to improve clinical drug therapy.
Area of Science:
- Genomics and Personalized Medicine
- Clinical Pharmacology
- Population Genetics
Background:
- Pharmacogenomics (PGx) is vital for personalized medicine, tailoring drug responses based on genetic variations.
- Adoption of PGx in India is hindered by a lack of population-specific data, guidelines, and interpretation complexities.
- Comprehensive, Indian-tailored datasets are essential for integrating PGx into clinical practice.
Purpose of the Study:
- To collate and analyze pharmacogenomic data relevant to the Indian population.
- To identify actionable pharmacogenomic variants for essential and commonly used drugs.
- To address the gap in population-specific PGx data for clinical application in India.
Main Methods:
- Compiled PGx data from WHO essential drugs, NICU medications, and AMP-recommended alleles.
- Utilized allele frequencies from the IndiGenomes database.
- Curated datasets to pinpoint clinically relevant pharmacogenomic variants.
Main Results:
- Identified 24 key genes influencing the outcomes of 57 drugs.
- In adults, 18 genes affect 44 drugs; in pediatrics, 18 genes impact 18 drugs.
- Actionable PGx variants found for over-the-counter drugs like ibuprofen and omeprazole.
Conclusions:
- The study underscores the clinical importance of PGx for widely used medications in India.
- Availability of Indian human genome project data necessitates establishing regulated, actionable PGx frameworks.
- Integrating PGx data will enable more effective, personalized drug therapies in Indian healthcare.
Keywords:
IndiGenomesPharmGKBadverse drug reactionsgene–drug interactionindigenous datapharmacogenomicspharmacogenomics testingMore Related Videos
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