Literature DB >> 24524666

Challenges in CYP2D6 phenotype assignment from genotype data: a critical assessment and call for standardization.

J Kevin Hicks, Jesse J Swen, Andrea Gaedigk1.   

Abstract

The cytochrome P450 2D6 (CYP2D6) enzyme contributes to the metabolism and/or bioactivation of approximately 25% of clinically used drugs. The CYP2D6 gene locus is highly polymorphic and complex, and variants within this gene locus affect CYP2D6 enzymatic function resulting in a wide range of metabolic activity from little to no activity to ultrarapid metabolism. For many of the drugs metabolized by CYP2D6, the variation in metabolic activity is one of the most important factors responsible for interindividual drug response. Therefore, determining an individual's CYP2D6 phenotype, or metabolic status, will help identify individuals that may benefit from a change in drug or drug dosage. Genotype analysis has become the method of choice to predict a person's metabolic status. Numerous reference laboratories now offer CYP2D6 genotyping; however, there can be substantial differences in the number of genetic variants interrogated as well as test interpretation. Furthermore, there is no standardized process of how a CYP2D6 genotype result is translated into a phenotype assignment. This review summarizes the complexity of CYP2D6 genotyping and highlights the major challenges for phenotype classification. We call for the implementation of a universally accepted system for CYP2D6 phenotype assignment to promote consistency of test interpretation among reference laboratories and medical institutions. We propose a system that utilizes the CYP2D6 activity score system to place individuals into a continuum of activity scores - rather than using the traditional poor, intermediate, extensive and ultra-rapid metabolizer categorizations - and directly translating activity scores into clinically actionable recommendations.

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Year:  2014        PMID: 24524666     DOI: 10.2174/1389200215666140202215316

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  63 in total

1.  Pharmacogenetic comparison of CYP2D6 predictive and measured phenotypes in a South African cohort.

Authors:  T M Dodgen; C De J Labuschagne; A van Schalkwyk; F E Steffens; A Gaedigk; A D Cromarty; M Alessandrini; M S Pepper
Journal:  Pharmacogenomics J       Date:  2015-10-27       Impact factor: 3.550

Review 2.  Phenotyping of Human CYP450 Enzymes by Endobiotics: Current Knowledge and Methodological Approaches.

Authors:  Gaëlle Magliocco; Aurélien Thomas; Jules Desmeules; Youssef Daali
Journal:  Clin Pharmacokinet       Date:  2019-11       Impact factor: 6.447

3.  In vivo assessment of the metabolic activity of CYP2D6 diplotypes and alleles.

Authors:  Daniel L Hertz; Anna C Snavely; Howard L McLeod; Christine M Walko; Joseph G Ibrahim; Steven Anderson; Karen E Weck; Gustav Magrinat; Oludamilola Olajide; Susan Moore; Rachel Raab; Daniel R Carrizosa; Steven Corso; Garry Schwartz; Jeffrey M Peppercorn; James P Evans; David R Jones; Zeruesenay Desta; David A Flockhart; Lisa A Carey; William J Irvin
Journal:  Br J Clin Pharmacol       Date:  2015-08-02       Impact factor: 4.335

Review 4.  Sequencing the CYP2D6 gene: from variant allele discovery to clinical pharmacogenetic testing.

Authors:  Yao Yang; Mariana R Botton; Erick R Scott; Stuart A Scott
Journal:  Pharmacogenomics       Date:  2017-05-04       Impact factor: 2.533

5.  CYP2D6 allele frequencies, copy number variants, and tandems in the population of Hong Kong.

Authors:  Wing Chan; Man S Li; Senthil K Sundaram; Brian Tomlinson; Pik Y Cheung; Chi H Tzang
Journal:  J Clin Lab Anal       Date:  2018-08-01       Impact factor: 2.352

Review 6.  Addressing phenoconversion: the Achilles' heel of personalized medicine.

Authors:  Rashmi R Shah; Robert L Smith
Journal:  Br J Clin Pharmacol       Date:  2015-02       Impact factor: 4.335

Review 7.  The Pharmacogenetics of Tramadol.

Authors:  Dorte Lassen; Per Damkier; Kim Brøsen
Journal:  Clin Pharmacokinet       Date:  2015-08       Impact factor: 6.447

Review 8.  PharmVar GeneFocus: CYP2D6.

Authors:  Charity Nofziger; Amy J Turner; Katrin Sangkuhl; Michelle Whirl-Carrillo; José A G Agúndez; John L Black; Henry M Dunnenberger; Gualberto Ruano; Martin A Kennedy; Michael S Phillips; Houda Hachad; Teri E Klein; Andrea Gaedigk
Journal:  Clin Pharmacol Ther       Date:  2019-12-09       Impact factor: 6.875

Review 9.  CYP2D6 polymorphism and its impact on the clinical response to metoprolol: A systematic review and meta-analysis.

Authors:  Maxime Meloche; Michael Khazaka; Imad Kassem; Amina Barhdadi; Marie-Pierre Dubé; Simon de Denus
Journal:  Br J Clin Pharmacol       Date:  2020-04-05       Impact factor: 4.335

10.  A Population Pharmacokinetic Analysis of Dextroamphetamine in the Plasma and Hair of Healthy Adults.

Authors:  Jessica K Roberts; Sarah F Cook; Chris Stockmann; Douglas E Rollins; Diana G Wilkins; Catherine M T Sherwin
Journal:  Clin Drug Investig       Date:  2015-10       Impact factor: 2.859

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