Literature DB >> 22907842

Tailoring drug therapy based on genotype.

Larisa H Cavallari1.   

Abstract

Polymorphisms in genes encoding drug metabolizing enzymes, drug transporters, and drug targets can influence drug effects and contribute to inter-individual differences in drug response. Genotype for drug metabolizing enzymes and drug transporters can influence drug disposition in the body (pharmacokinetics), whereas genotype for drug targets may influence sensitivity to a drug (pharmacodynamics). In some cases, response to a particular drug is contingent on genotype for both drug disposition and drug target proteins. For example, warfarin dose requirements are influenced by both cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase complex 1 (VKORC1) genotypes. The goal of pharmacogenetics is to maximize drug effectiveness while limiting drug toxicity, based on an individual's DNA. Over 80 drugs now contain genetic information in their FDA-approved labeling. In addition to influencing warfarin dose requirements, genotype contributes to the efficacy of clopidogrel in coronary artery disease, risk for hypersensitivity reactions to abacavir in the treatment of human immunodeficiency virus, risk for statin-induced myopathy, and responses to numerous other drugs. Genetic information is routinely integrated into decisions regarding cancer chemotherapy and treatment for human immunodeficiency virus. Clinical implementation of pharmacogenetics is becoming a reality in other therapeutic areas, such as for patients requiring dual antiplatelet therapy following coronary artery stent implantation. In the future, it is possible that individuals will be broadly genotyped so that genetic information can guide drug therapy decisions throughout their lifetime.

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Year:  2012        PMID: 22907842     DOI: 10.1177/0897190012448311

Source DB:  PubMed          Journal:  J Pharm Pract        ISSN: 0897-1900


  6 in total

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2.  Detection of CYP2C19 Genetic Variants in Malaysian Orang Asli from Massively Parallel Sequencing Data.

Authors:  Geik Yong Ang; Choo Yee Yu; Vinothini Subramaniam; Mohd Ikhmal Hanif Abdul Khalid; Tuan Azlin Tuan Abdu Aziz; Richard Johari James; Aminuddin Ahmad; Thuhairah Abdul Rahman; Fadzilah Mohd Nor; Adzrool Idzwan Ismail; Kamarudzaman Md Isa; Hood Salleh; Lay Kek Teh; Mohd Zaki Salleh
Journal:  PLoS One       Date:  2016-10-31       Impact factor: 3.240

Review 3.  Integrating cardiomyocytes from human pluripotent stem cells in safety pharmacology: has the time come?

Authors:  Luca Sala; Milena Bellin; Christine L Mummery
Journal:  Br J Pharmacol       Date:  2016-09-20       Impact factor: 8.739

4.  Prescription Advice Based on Data of Drug-Drug-Gene Interaction of Patients with Polypharmacy.

Authors:  Sandro Salamone; Sara Spirito; Maurizio Simmaco; Marius Unger; Saskia Preissner; Björn-Oliver Gohlke; Andreas Eckert; Robert Preissner
Journal:  Pharmgenomics Pers Med       Date:  2022-08-18

5.  Pharmacogenetics of Parkinson's disease - through mechanisms of drug actions.

Authors:  Marek Droździk; Monika Białecka; Mateusz Kurzawski
Journal:  Curr Genomics       Date:  2013-12       Impact factor: 2.236

6.  Pharmacogenomic biomarker information differences between drug labels in the United States and Hungary: implementation from medical practitioner view.

Authors:  Reka Varnai; Istvan Szabo; Greta Tarlos; Laszlo Jozsef Szentpeteri; Attila Sik; Sandor Balogh; Csilla Sipeky
Journal:  Pharmacogenomics J       Date:  2019-12-02       Impact factor: 3.550

  6 in total

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