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Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
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Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
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Cytochrome P450 (CYP450) enzymes are a superfamily of heme-containing monooxygenases that play a pivotal role in Phase I drug metabolism by catalyzing oxidation and reduction reactions.These enzymes transform lipophilic xenobiotics into more hydrophilic metabolites, facilitating subsequent Phase II conjugation and eventual excretion. The CYP450 family is classified into families (e.g., CYP1–CYP3) and subfamilies (e.g., CYP2A, CYP2C), based on amino acid sequence homology.CYP450...
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The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
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Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
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Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer
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Warfarin pharmacogenetics.

Julie A Johnson1, Larisa H Cavallari1

  • 1Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Box 100486, Gainesville, FL 32610-0486.

Trends in Cardiovascular Medicine
|October 6, 2014
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Summary
This summary is machine-generated.

Genetic testing for warfarin dosing is not currently supported, though genotype data may be reasonable for European ancestry patients. Further research is needed to clarify clinical utility, especially in minority populations.

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Area of Science:

  • Pharmacogenomics
  • Clinical Pharmacology
  • Internal Medicine

Background:

  • Cytochrome P450 (CYP) 2C9 and vitamin K epoxide reductase complex 1 (VKORC1) genotypes are linked to warfarin dose needs.
  • Dosing algorithms using genetic and clinical data predict stable warfarin doses.

Purpose of the Study:

  • To evaluate the clinical utility of genotype-guided warfarin dosing.
  • To assess the impact of genetic variations on warfarin dose requirements.

Main Methods:

  • Review of clinical trials evaluating genotype-guided warfarin dosing.
  • Analysis of studies using surrogate markers versus clinical endpoints.

Main Results:

  • Clinical trials for genotype-guided warfarin dosing have yielded mixed results.
  • Current data do not support routine genetic testing for warfarin dosing.
  • Genotype data may be reasonable for European ancestry patients when available.

Conclusions:

  • The clinical utility of genotype-guided warfarin dosing remains uncertain.
  • More research is needed to define optimal dosing algorithms, particularly for minority populations.
  • Ongoing trials and observational studies will further inform guidelines.