Published in

Future Medicine, Pharmacogenomics, 16(18), p. 1473-1480, 2017

DOI: 10.2217/pgs-2017-0131

Links

Tools

Export citation

Search in Google Scholar

Genotype-based tacrolimus dosing guidelines: with or without CYP3A4*22?

Journal article published in 2017 by Laure Elens ORCID, Vincent Haufroid
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Aim: To test the relevance of revisiting the genotype classification based on CYP3A5*3 solely by incorporating CYP3A4*22 information. Methods: Discriminant analysis of principal component was performed to evaluate the relevance of either the CYP3A (CYP3A5 + CYP3A4 genotypes) or CYP3A5*3 classification variables. This analysis was based on a linear combination of noncompartmental pharmacokinetics parameters. Results: Discriminant analysis of principal component gave better results with CYP3A compared with CYP3A5*3 clustering. The centroid means of the pharmacokinetics variables were significantly different with CYP3A genotype clustering (p = 0.04) but not with CYP3A5*3 solely (p = 0.06). Canonical plots reveal a better delimitation of clusters with CYP3A genotype compared with CYP3A5*3 and the reciever operating characteristic curves confirm this better discriminative power. Conclusion: We provide strong arguments of incorporating CYP3A4*22 genotype in practice to fine-tune the existing Clinical Phamacogenetics Implementation Consortium guidelines in the Caucasian population.