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Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
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Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
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DMET microarray technology for pharmacogenomics-based personalized medicine.

James K Burmester1, Marina Sedova, Michael H Shapero

  • 1Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA. burmester.jim@mcrf.mfldclin.edu

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|March 11, 2010
PubMed
Summary

Genetic variations influence drug response and adverse reactions. The DMET Plus assay enables genotyping of drug metabolism genes, aiding research for safer and more effective medications.

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Area of Science:

  • Pharmacogenetics
  • Genomics
  • Drug Development

Background:

  • Human genome sequence variations, including single nucleotide polymorphisms (SNPs) and structural variations, dictate individual responses to drugs and the risk of adverse drug reactions.
  • Pharmacogenetics aims to elucidate the link between genetic variation and differential drug responses to enhance drug safety and efficacy.

Purpose of the Study:

  • To introduce the Affymetrix DMET Plus Premier Pack for highly multiplexed genotyping of known polymorphisms in drug metabolism and transporter genes.
  • To highlight the utility of the DMET assay in understanding drug response variations.

Main Methods:

  • Utilizes the Affymetrix DMET Plus Premier Pack for highly multiplexed genotyping.
  • Interrogates markers in 225 Absorption, Distribution, Metabolism, and Elimination (ADME)-related genes, including phase I and phase II drug metabolism enzymes and drug transporters.

Main Results:

  • Demonstrated influence of a cytochrome P450 (CYP) 4F2 variant on warfarin dosing in a previous study.
  • Showcased how CYP2C19 variants with reduced enzyme activity impact clopidogrel's active metabolite levels, leading to decreased platelet inhibition and increased cardiovascular events.

Conclusions:

  • Highly multiplexed SNP genotyping of ADME-related polymorphisms facilitates research into developing safer and more efficacious drugs.
  • The DMET Plus assay provides a powerful tool for pharmacogenetic research, enabling a deeper understanding of genetic influences on drug response.