Literature DB >> 11258597

Pharmacogenomics to predict drug response.

G I Adam1, R Reneland, M Andersson, C Risinger, M Nilsson, T Lewander.   

Abstract

From theory to proof-of-concept, pharmacogenomics promises to improve future general healthcare in a number of ways. By identifying individuals who will respond to a particular drug treatment compared to those who have a low probability of response, pharmacogenomic test development hopes to aid the physician in prescribing the optimal medication for each patient. This approach promises faster relief from symptoms, a lowering of side effect risks and a reduction in healthcare costs. Pharmacogenomic tests used by the pharmaceutical companies themselves can be used to help identify suitable subjects for clinical trials, aid in interpretation of clinical trial results, find new markets for current products and speed up the development of new treatments and therapies. This type of approach should also see fewer compounds failing during later phases of development. The questions we are faced with as we enter the new millennium, however, are if and when the promises of pharmacogenomnics in improving healthcare will be fulfilled. Currently, there are only a handful of pharmacogenomic tests and associated products which are commercially available and it remains to be seen what impact these will have on the market and on healthcare in general.

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Year:  2000        PMID: 11258597     DOI: 10.1517/14622416.1.1.5

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  2 in total

1.  Risk, reward, and the double-edged sword: perspectives on pharmacogenetic research and clinical testing among Alaska Native people.

Authors:  Jennifer L Shaw; Renee Robinson; Helene Starks; Wylie Burke; Denise A Dillard
Journal:  Am J Public Health       Date:  2013-10-17       Impact factor: 9.308

Review 2.  Interpersonal Factors in the Pharmacokinetics and Pharmacodynamics of Voriconazole: Are CYP2C19 Genotypes Enough for Us to Make a Clinical Decision?

Authors:  Xuefeng Zhong; Xunliang Tong; Yang Ju; Xiaoman Du; Yanming Li
Journal:  Curr Drug Metab       Date:  2018       Impact factor: 3.731

  2 in total

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