Aug 2026· International Journal of Current Science Research and Review· 0 citations
TL;DR
The integration of pharmacogenomics into routine healthcare has the potential to optimize individualized drug therapy, minimize preventable ADRs, and accelerate the transition toward precision medicine, ultimately improving clinical outcomes and healthcare quality.
Abstract
Adverse drug reactions (ADRs) remain a major global healthcare challenge, accounting for significant morbidity, mortality, treatment failure, and increased healthcare expenditure. Although clinical factors such as age, comorbidities, organ function, and polypharmacy contribute to ADR susceptibility, they inadequately explain the marked interindividual variability in drug response. Pharmacogenomics has emerged as a transformative approach to precision medicine by identifying inherited genetic variants that influence drug metabolism, transport, efficacy, and toxicity. This review critically examines the role of pharmacogenomic testing in predicting, preventing, and managing ADRs, with emphasis on clinically actionable pharmacogenes including CYP2D6, CYP2C19, TPMT, NUDT15, HLA-B15:02, HLA-B57:01, and HLA-B 58:01. Evidence from international pharmacogenomic guidelines demonstrates that genotype-guided prescribing significantly reduces severe hypersensitivity reactions, drug toxicity, and treatment failure while improving therapeutic efficacy and patient safety. The review further discusses current clinical applications, implementation challenges, ethical considerations, and emerging advances in genomic technologies, artificial intelligence, and clinical decision-support systems. The integration of pharmacogenomics into routine healthcare has the potential to optimize individualized drug therapy, minimize preventable ADRs, and accelerate the transition toward precision medicine, ultimately improving clinical outcomes and healthcare quality.
How pharmacogenetics and pharmacogenomics function as enabling technologies across the pharmaceutical and clinical domains is synthesized, with emphasis on biomarker-guided drug development, patient stratification, safety optimization, regulatory translation, precision oncology, sex-related variability, population dive...
Nikolet Pavlova, D. Kaloudas, M. Traykovska et al.· Current Drug Discovery Techn...· 0 citations
The integration of artificial intelligence and machine learning approaches for pharmacogenomic prediction, the emergence of polygenic risk scores, and the role of multi-omics integration in refining therapeutic decision-making are examined.
Hao Sun, Zijun Qiao, Jinze Yu et al.· Brazilian Journal of Science· 0 citations
Key factors influencing toxicity risk are discussed, including patient comorbidity, polypharmacy, and baseline organ function, as well as the role of dynamic monitoring, biomarkers, and early signal detection.
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Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a considerable polypharmacy burden. This significantly increases the prospect of drug-drug interactions (DDIs) and gene-drug interactions. The majority of these interactions aris...
Aanya Verma, P. D.· Current problems in cardiolo...· 0 citations
A critical evaluation of clinically validated PGx biomarkers for chemotherapeutics and targeted therapy with a focus on translational relevance and strength of evidence shows high-impact germline markers such as DPYD, TPMT, NUDT15 and UGT1A1 are highlighted as key determinants of genotype-guided dosing for improving sa...
Satyam Kumar Vishwash, Ram Babu Soni, Sourabh Kosey et al.· Journal of chemotherapy· 0 citations
A portion of population ADR burden could possibly have been prevented through PGx-guided therapy and a portion of population ADR burden could possibly have been prevented through PGx-guided therapy.
R. Torene, Ryley Uber, Tracy Brandt et al.· Genetics in Medicine· 0 citations
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