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The Pharmacogenomics Journal
Article . 2012 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Use of pharmacogenetics in bioequivalence studies to reduce sample size: an example with mirtazapine and CYP2D6

Authors: N, González-Vacarezza; F, Abad-Santos; A, Carcas-Sansuan; P, Dorado; E, Peñas-Lledó; F, Estévez-Carrizo; A, Llerena;

Use of pharmacogenetics in bioequivalence studies to reduce sample size: an example with mirtazapine and CYP2D6

Abstract

In bioequivalence studies, intra-individual variability (CV(w)) is critical in determining sample size. In particular, highly variable drugs may require enrollment of a greater number of subjects. We hypothesize that a strategy to reduce pharmacokinetic CV(w), and hence sample size and costs, would be to include subjects with decreased metabolic enzyme capacity for the drug under study. Therefore, two mirtazapine studies, two-way, two-period crossover design (n=68) were re-analysed to calculate the total CV(w) and the CV(w)s in three different CYP2D6 genotype groups (0, 1 and ≥ 2 active genes). The results showed that a 29.2 or 15.3% sample size reduction would have been possible if the recruitment had been of individuals carrying just 0 or 0 plus 1 CYP2D6 active genes, due to the lower CV(w). This suggests that there may be a role for pharmacogenetics in the design of bioequivalence studies to reduce sample size and costs, thus introducing a new paradigm for the biopharmaceutical evaluation of drug products.

Keywords

Male, Cross-Over Studies, Genotype, Mirtazapine, Mianserin, Antidepressive Agents, Tricyclic, Healthy Volunteers, Cytochrome P-450 CYP2D6, Therapeutic Equivalency, Pharmacogenetics, Sample Size, Humans, Female

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Average
Top 10%
bronze