Literature DB >> 15864139

Pharmacogenetic testing for drug metabolizing enzymes: is it happening in practice?

Sharon J Gardiner1, Evan J Begg.   

Abstract

It is widely claimed that pharmacogenetics may form the basis of 'personalized medicine'. We sought to determine the current utilization of pharmacogenetic testing for drug metabolizing enzymes (DMEs). The hypothesis was that these tests were rarely performed clinically. Questionnaires were sent to 629 individuals representing laboratories, hospitals and universities throughout Australia and New Zealand. The questionnaires asked which facilities performed pharmacogenetic tests for selected DMEs, and details about the tests, if performed. The overall response rate was 81.1% (510/629); three respondents declined to participate. Clinical genotyping and phenotyping tests for DMEs could be performed by 10 (2.0% of 507) and 18 (3.6%) facilities, respectively. The most frequently performed genetic tests were for thiopurine methyltransferase (approximately 400 times in 2003) and pseudocholinesterase (approximately 250 times). The frequency of phenotyping exceeded genotyping by five- and eight-fold, respectively. One centre performed CYP2D6 phenotyping frequently (approximately 4200 times in 2003) for perhexiline. Genotyping and phenotyping tests for other cytochrome P450 enzymes, N-acetyltransferase-2 and dihydropyrimidine dehydrogenase were effectively never undertaken for clinical purposes. Pharmacogenetic tests for DMEs are currently performed rarely in clinical practice, despite repeated claims that they may benefit patient care. The only tests performed with any regularity in Australasia are for thiopurine methyltransferase and pseudocholinesterase, and CYP2D6 phenotyping in one centre for patients on perhexiline. The low clinical utilization reflects a poor evidence base, unestablished clinical relevance and, in the few cases with the strongest rationale, a slow translation to the clinical setting.

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Year:  2005        PMID: 15864139     DOI: 10.1097/01213011-200505000-00013

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  17 in total

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