Literature DB >> 20733952

Warfarin genotyping using three different platforms.

Joel A Lefferts, Mary C Schwab, Uday B Dandamudi, Hong-Kee Lee, Lionel D Lewis, Gregory J Tsongalis.   

Abstract

Genetic testing for common variants in the CYP2C9 and VKORC1 genes may provide useful clinical information to guide dosing patients receiving oral warfarin. Specifically, the CYP2C9*2, CYP2C9*3 and either the VKORC1-1639 G>A or VKORC1 1173C>T polymorphisms can be used to help predict an approximate warfarin maintenance dose needed for a particular patient. Although clinical uptake and use of this genotyping has been slow, an increasing body of literature provides evidence of the clinical utility of supplementing traditional warfarin dosing algorithms with a pharmacogenetic approach. The availability of multiple methods for clinical genotyping provides the opportunity for molecular diagnostic laboratories to introduce genotyping assays tailored to their specific needs based on variables such as testing volumes, staffing, available instrumentation and needed turnaround times. Three assays (Invader, Verigene and TaqMan) designed to detect three genetic variations associated with warfarin dosing are evaluated and compared as potential clinical tests to assist in patient care. Identical genotypes were reported by each assay for all samples tested but the assays were found to differ in turnaround time, approval status by the U.S. Food and Drug Administration (FDA), requirements for amount of input genomic DNA and other logistical factors that might make each assay more favorable in different settings.

Entities:  

Keywords:  CYP2C9; Invader; TaqMan PCR; VKORC1; Verigene; genotyping methods; warfarin

Year:  2010        PMID: 20733952      PMCID: PMC2923866     

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


  13 in total

Review 1.  Invader technology for DNA and RNA analysis: principles and applications.

Authors:  Monika de Arruda; Victor I Lyamichev; Peggy S Eis; Walter Iszczyszyn; Robert W Kwiatkowski; Scott M Law; Marilyn C Olson; Eric B Rasmussen
Journal:  Expert Rev Mol Diagn       Date:  2002-09       Impact factor: 5.225

2.  Gold nanoparticle probe-based gene expression analysis with unamplified total human RNA.

Authors:  Martin Huber; Tai-Fen Wei; Uwe R Müller; Phil A Lefebvre; Sudhakar S Marla; Y Paul Bao
Journal:  Nucleic Acids Res       Date:  2004-10-08       Impact factor: 16.971

3.  Evaluation of the Nanosphere Verigene System and the Verigene F5/F2/MTHFR Nucleic Acid Tests.

Authors:  Joel A Lefferts; Paul Jannetto; Gregory J Tsongalis
Journal:  Exp Mol Pathol       Date:  2009-06-30       Impact factor: 3.362

4.  Comparison of assay systems for warfarin-related CYP2C9 and VKORC1 genotyping.

Authors:  Carleta B Maurice; Pankaj K Barua; Diane Simses; Penny Smith; John G Howe; Gary Stack
Journal:  Clin Chim Acta       Date:  2010-03-11       Impact factor: 3.786

5.  Warfarin genotyping reduces hospitalization rates results from the MM-WES (Medco-Mayo Warfarin Effectiveness study).

Authors:  Robert S Epstein; Thomas P Moyer; Ronald E Aubert; Dennis J O Kane; Fang Xia; Robert R Verbrugge; Brian F Gage; J Russell Teagarden
Journal:  J Am Coll Cardiol       Date:  2010-04-08       Impact factor: 24.094

6.  Validation and comparison of pharmacogenetics-based warfarin dosing algorithms for application of pharmacogenetic testing.

Authors:  Nitin Roper; Barry Storer; Robert Bona; Min Fang
Journal:  J Mol Diagn       Date:  2010-03-12       Impact factor: 5.568

Review 7.  Clinical genotyping: the need for interrogation of single nucleotide polymorphisms and mutations in the clinical laboratory.

Authors:  Gregory J Tsongalis; William B Coleman
Journal:  Clin Chim Acta       Date:  2005-08-15       Impact factor: 3.786

Review 8.  Warfarin sensitivity genotyping: a review of the literature and summary of patient experience.

Authors:  Thomas P Moyer; Dennis J O'Kane; Linnea M Baudhuin; Carmen L Wiley; Alexandre Fortini; Pamela K Fisher; Denise M Dupras; Rajeev Chaudhry; Prabin Thapa; Alan R Zinsmeister; John A Heit
Journal:  Mayo Clin Proc       Date:  2009-12       Impact factor: 7.616

9.  Regulatory polymorphism in vitamin K epoxide reductase complex subunit 1 (VKORC1) affects gene expression and warfarin dose requirement.

Authors:  Danxin Wang; Huizi Chen; Kathryn M Momary; Larisa H Cavallari; Julie A Johnson; Wolfgang Sadée
Journal:  Blood       Date:  2008-06-03       Impact factor: 22.113

10.  Pharmacogenetic testing of CYP2C9 and VKORC1 alleles for warfarin.

Authors:  David A Flockhart; Dennis O'Kane; Marc S Williams; Michael S Watson; David A Flockhart; Brian Gage; Roy Gandolfi; Richard King; Elaine Lyon; Robert Nussbaum; Dennis O'Kane; Kevin Schulman; David Veenstra; Marc S Williams; Michael S Watson
Journal:  Genet Med       Date:  2008-02       Impact factor: 8.822

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  5 in total

1.  An improved PCR-CTPP assay for the detection of ADH1B Arg48His polymorphism.

Authors:  Shupeng Jiang; Yongqing Tong; Rui Zhao; Ge Xiong; Bin Qiao; Yan Li
Journal:  J Clin Lab Anal       Date:  2017-06-28       Impact factor: 2.352

2.  Factors affecting warfarin dose requirements and quality of anticoagulation in adult Egyptian patients: role of gene polymorphism.

Authors:  N S Bazan; N A Sabry; A Rizk; S Mokhtar; O A Badary
Journal:  Ir J Med Sci       Date:  2013-06-27       Impact factor: 1.568

3.  Warfarin dose requirement in Turkish patients: the influences of patient characteristics and polymorphisms in CYP2C9, VKORC1 and factor VII.

Authors:  E Yildirim; K Erol; A Birdane
Journal:  Hippokratia       Date:  2014 Oct-Dec       Impact factor: 0.471

Review 4.  AuNPs for identification of molecular signatures of resistance.

Authors:  Bruno Veigas; Alexandra R Fernandes; Pedro V Baptista
Journal:  Front Microbiol       Date:  2014-08-28       Impact factor: 5.640

5.  Implementing Pharmacogenomics at Your Institution: Establishment and Overcoming Implementation Challenges.

Authors:  M J Arwood; S Chumnumwat; L H Cavallari; E A Nutescu; J D Duarte
Journal:  Clin Transl Sci       Date:  2016-06-14       Impact factor: 4.689

  5 in total

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