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Translating Pharmacogenomics: Challenges on the Road to the Clinic

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  • Jesse J Swen
  • Tom W Huizinga
  • Hans Gelderblom
  • Elisabeth G E de Vries
  • Willem J J Assendelft
  • Julia Kirchheiner
  • Henk-Jan Guchelaar

Abstract

Pharmacogenomics is one of the first clinical applications of the postgenomic era. It promises personalized medicine rather than the established “one size fits all” approach to drugs and dosages. The expected reduction in trial and error should ultimately lead to more efficient and safer drug therapy. In recent years, commercially available pharmacogenomic tests have been approved by the Food and Drug Administration (FDA), but their application in patient care remains very limited. More generally, the implementation of pharmacogenomics in routine clinical practice presents significant challenges. This article presents specific clinical examples of such challenges and discusses how obstacles to implementation of pharmacogenomic testing can be addressed. Jesse J. Swen and colleagues review the limited successes of pharmacogenomics (individualized drug dosing based on hereditary factors) and discuss the remaining challenges to its widespread clinical use.

Suggested Citation

  • Jesse J Swen & Tom W Huizinga & Hans Gelderblom & Elisabeth G E de Vries & Willem J J Assendelft & Julia Kirchheiner & Henk-Jan Guchelaar, 2007. "Translating Pharmacogenomics: Challenges on the Road to the Clinic," PLOS Medicine, Public Library of Science, vol. 4(8), pages 1-8, August.
  • Handle: RePEc:plo:pmed00:0040209
    DOI: 10.1371/journal.pmed.0040209
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    Cited by:

    1. Gagliardi, Dimitri & Ramlogan, Ronnie & Navarra, Pierluigi & Dello Russo, Cinzia, 2018. "Diffusion of complementary evolving pharmaceutical innovations: The case of Abacavir and its pharmacogenetic companion diagnostic in Italy," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 223-233.
    2. Douglas M Ruderfer & David C Roberts & Stuart L Schreiber & Ethan O Perlstein & Leonid Kruglyak, 2009. "Using Expression and Genotype to Predict Drug Response in Yeast," PLOS ONE, Public Library of Science, vol. 4(9), pages 1-7, September.

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