Literature DB >> 35035679

Illustrative and historic cases of phenoconversion.

Veronique Michaud1,2, Pamela Dow1, Jacques Turgeon1,2.   

Abstract

Intersubject variability in drug response, whether related to efficacy or toxicity, is well recognized clinically. Over the years, drug selection from our pharmacologic armamentarium has moved from providers' preferred choices to more personalized treatments as clinicians' decisions are guided by data from clinical trials. Since the advent of more accessible and affordable pharmacogenomic (PGx) testing, the promise of precise pharmacotherapy has been made. Results have accumulated in the literature with numerous examples demonstrating the value of PGx to improve drug response or prevent drug toxicity. Unfortunately, limited availability of reimbursement policies has dampened the enthusiasm of providers and organizations. The clinical application of PGx knowledge remains difficult for most clinicians under real-world conditions in patients with numerous chronic conditions and polypharmacy. This may be due to phenoconversion, a condition where there is a discrepancy between the genotype-predicted phenotype and the observed phenotype. This condition complicates the interpretation of PGx results and may lead to inappropriate recommendations and clinical decision making. For this reason, regulatory agencies have limited the transfer of information from PGx laboratories directly to consumers, especially recommendations about the use of certain drugs. This mini-review presents cases (mexiletine, propafenone, clopidogrel, warfarin, codeine, procainamide) from historical observations where drug response was modified by phenoconversion. The cases illustrate, from decades ago, that we are still in great need of advanced clinical decision systems that cope with conditions associated with phenoconversion, especially in patients with polypharmacy. AJTR
Copyright © 2021.

Entities:  

Keywords:  Phenoconversion; genotype; pharmacogenomics; phenotype

Year:  2021        PMID: 35035679      PMCID: PMC8748136     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  55 in total

1.  Identification and functional characterization of a new CYP2C9 variant (CYP2C9*5) expressed among African Americans.

Authors:  L J Dickmann; A E Rettie; M B Kneller; R B Kim; A J Wood; C M Stein; G R Wilkinson; U I Schwarz
Journal:  Mol Pharmacol       Date:  2001-08       Impact factor: 4.436

2.  The role of the CYP2C9-Leu359 allelic variant in the tolbutamide polymorphism.

Authors:  T H Sullivan-Klose; B I Ghanayem; D A Bell; Z Y Zhang; L S Kaminsky; G M Shenfield; J O Miners; D J Birkett; J A Goldstein
Journal:  Pharmacogenetics       Date:  1996-08

3.  Role of CYP2D6 in the N-hydroxylation of procainamide.

Authors:  E Lessard; A Fortin; P M Bélanger; P Beaune; B A Hamelin; J Turgeon
Journal:  Pharmacogenetics       Date:  1997-10

4.  Association of polymorphisms in the cytochrome P450 CYP2C9 with warfarin dose requirement and risk of bleeding complications.

Authors:  G P Aithal; C P Day; P J Kesteven; A K Daly
Journal:  Lancet       Date:  1999-02-27       Impact factor: 79.321

5.  Genetic modulation of oral anticoagulation with warfarin.

Authors:  M Margaglione; D Colaizzo; G D'Andrea; V Brancaccio; A Ciampa; E Grandone; G Di Minno
Journal:  Thromb Haemost       Date:  2000-11       Impact factor: 5.249

6.  Patients with poor responsiveness to thienopyridine treatment or with diabetes have lower levels of circulating active metabolite, but their platelets respond normally to active metabolite added ex vivo.

Authors:  David Erlinge; Christoph Varenhorst; Oscar O Braun; Stefan James; Kenneth J Winters; Joseph A Jakubowski; John T Brandt; Atsuhiro Sugidachi; Agneta Siegbahn; Lars Wallentin
Journal:  J Am Coll Cardiol       Date:  2008-12-09       Impact factor: 24.094

7.  Mexiletine-quinidine combination: electrophysiologic correlates of a favorable antiarrhythmic interaction in humans.

Authors:  H J Duff; L B Mitchell; D Manyari; D G Wyse
Journal:  J Am Coll Cardiol       Date:  1987-11       Impact factor: 24.094

8.  Multisite Investigation of Outcomes With Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention.

Authors:  Larisa H Cavallari; Craig R Lee; Amber L Beitelshees; Rhonda M Cooper-DeHoff; Julio D Duarte; Deepak Voora; Stephen E Kimmel; Caitrin W McDonough; Yan Gong; Chintan V Dave; Victoria M Pratt; Tameka D Alestock; R David Anderson; Jorge Alsip; Amer K Ardati; Brigitta C Brott; Lawrence Brown; Supatat Chumnumwat; Michael J Clare-Salzler; James C Coons; Joshua C Denny; Chrisly Dillon; Amanda R Elsey; Issam S Hamadeh; Shuko Harada; William B Hillegass; Lindsay Hines; Richard B Horenstein; Lucius A Howell; Linda J B Jeng; Mark D Kelemen; Yee Ming Lee; Oyunbileg Magvanjav; May Montasser; David R Nelson; Edith A Nutescu; Devon C Nwaba; Ruth E Pakyz; Kathleen Palmer; Josh F Peterson; Toni I Pollin; Alison H Quinn; Shawn W Robinson; Jamie Schub; Todd C Skaar; D Max Smith; Vindhya B Sriramoju; Petr Starostik; Tomasz P Stys; James M Stevenson; Nicholas Varunok; Mark R Vesely; Dyson T Wake; Karen E Weck; Kristin W Weitzel; Russell A Wilke; James Willig; Richard Y Zhao; Rolf P Kreutz; George A Stouffer; Philip E Empey; Nita A Limdi; Alan R Shuldiner; Almut G Winterstein; Julie A Johnson
Journal:  JACC Cardiovasc Interv       Date:  2017-11-01       Impact factor: 11.195

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