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Pharmacogenomics: will the promise be fulfilled?

Nature Reviews Genetics volume 12, pages 6973 (2011) | Download Citation

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Abstract

Tools such as genome resequencing and genome-wide association studies have recently been used to uncover a number of variants that affect drug toxicity and efficacy, as well as potential drug targets. But how much closer are we to incorporating pharmacogenomics into routine clinical practice? Five experts discuss how far we have come, and highlight the technological, informatics, educational and practical obstacles that stand in the way of realizing genome-driven medicine.

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Acknowledgements

H.K.K.'s research is supported by the Federal Ministry of Education and Research (GANI_MED) and the Deutsche Forschungsgemeinschaft (SFB TR 19).

Author information

Affiliations

  1. Russ B. Altman is at the Department of Bioengineering, Stanford University, 318 Campus Drive, S172, MC, 5444 Stanford, California 94305-5444, USA.  russ.altman@stanford.edu

    • Russ B. Altman
  2. Heyo K. Kroemer is at the Research Center of Pharmacology and Experimental Therapeutics, Ernst Moritz Arndt University Greifswald, Friedrich Löfflerstrasse 23d, 17487 Greifswald, Germany.  kroemer@uni-greifswald.de

    • Heyo K. Kroemer
  3. Catherine A. McCarty is at the The Center for Human Genetics, Marshfield Clinic Research, Foundation 1000 North Oak Avenue, MLR Marshfield, Wisconsin 54449, USA.  McCarty.Catherine@mcrf.mfldclin.edu

    • Catherine A. McCarty
  4. Mark J. Ratain is at the University of Chicago Medical Center, 5841 South Maryland Avenue, MC, 2115 Chicago, Illinois 60637, USA.  mratain@medicine.bsd.uchicago.edu

    • Mark J. Ratain
  5. Dan Roden is at the Vanderbilt University School of Medicine, MRB4 1285B, 2215B Garland Avenue, Nashville, Tennessee, 37232-0575, USA.  dan.roden@Vanderbilt.Edu

    • Dan Roden

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Competing interests

D.R. is a consultant for Novartis, Merck and Sanofi-Aventis in antiarrhythmic actions. He is also a consultant for Daiichii Sankyo in cardiovascular pharmacology. He receives royalties from Clinical Data, Inc., for the discovery of a potassium channel gene variant as a predictor of drug-induced arrhythmia.

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DOI

https://doi.org/10.1038/nrg2920

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