Molecular Approaches, Models, and Techniques in Pharmacogenomic Research and Development

Wenbo Mu*, Wei Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

Clinical response to therapeutic treatments may vary among patients. An individual's response to prescribed medicines is likely to be a complex trait that is influenced by a variety of genetic and nongenetic (e.g., environment, diet) factors. Pharmacogenomics holds the promise for personalized medicine based on a patient's genetic makeup by investigating the relationships between genetic variation and therapeutic phenotypes. In particular, human genetic variation provides the basis for dissecting the genetic architecture of complex traits including drug response. We introduce the general strategies and data analysis approaches utilized in the current pharmacogenomic research and development. The traditional candidate gene approach aims at pharmacology-related genes with a priori knowledge. In contrast, the advances in genome-wide profiling technologies open the possibility of genome-wide scans for genetic determinants responsible for drug response. In addition, several important bioinformatic resources for pharmacogenomic research are also introduced. © 2013

Original languageEnglish (US)
Title of host publicationPharmacogenomics
PublisherElsevier Inc
Pages273-294
Number of pages22
ISBN (Print)9780123919182
DOIs
StatePublished - 2013

Keywords

  • Candidate gene approach
  • Drug response
  • Genetic variation
  • Genome-wide association
  • Single-nucleotide polymorphism
  • Whole-genome approach

ASJC Scopus subject areas

  • Molecular Medicine
  • Genetics
  • Pharmacology

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