Literature DB >> 21365388

Clinical applications of pharmacogenomics guided warfarin dosing.

Pramod Mahajan1, Kristin S Meyer, Geoffrey C Wall, Heidi J Price.   

Abstract

AIM OF THE REVIEW: To assess the state of the literature concerning pharmacogenomic testing in patients requiring vitamin K antagonists, specifically warfarin.
METHOD: We conducted a literature search of MEDLINE and International Pharmaceutical Abstracts using the following words: warfarin, pharmacogenetic, and pharmacogenomic. The search results were reviewed by the authors and papers concerning pharmacogenomic testing in warfarin dosing were procured and reviewed. Additionally bibliographies of papers procured were also examined for other studies. The authors focused on clinical trials concerning the use of pharmacogenomic testing in warfarin dosing.
RESULTS: Although numerous studies have demonstrated that a significant portion of warfarin dosing variability can be explained by genetic polymorphisms, few prospective studies have been conducted that examine the integration of this information in practical dosing situations. Those that have, have shown that using pharmacogenomic information improves initial dosing estimates and decreases the need for frequent clinic visits and laboratory testing. Data showing a reduction in serious bleeding events is sparse. Cost-effectiveness analyses have generally shown a small but positive effect with pharmacogenomic testing in patients receiving warfarin.
CONCLUSION: Several studies have shown that pharmacogenomic testing for warfarin dosing is more accurate that other dosing schemes. Pharmacogenomic testing improves time to a therapeutic international normalized ratio while requiring fewer dosing adjustments. Patients who require higher or lower than usual doses seem to benefit the most. The cost-effectiveness of pharmacogenomic testing as well as preventing of outcomes such as bleeding or thrombosis are not yet elucidated. Pharmacists, especially those in a community setting can play a role in this new technology by educating prescribers and patients concerning pharmacogenomic testing, and by developing and using dosing protocols that incorporate its use.

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Year:  2011        PMID: 21365388     DOI: 10.1007/s11096-011-9486-1

Source DB:  PubMed          Journal:  Int J Clin Pharm


  63 in total

1.  Integration of genetic, clinical, and INR data to refine warfarin dosing.

Authors:  P Lenzini; M Wadelius; S Kimmel; J L Anderson; A L Jorgensen; M Pirmohamed; M D Caldwell; N Limdi; J K Burmester; M B Dowd; P Angchaisuksiri; A R Bass; J Chen; N Eriksson; A Rane; J D Lindh; J F Carlquist; B D Horne; G Grice; P E Milligan; C Eby; J Shin; H Kim; D Kurnik; C M Stein; G McMillin; R C Pendleton; R L Berg; P Deloukas; B F Gage
Journal:  Clin Pharmacol Ther       Date:  2010-04-07       Impact factor: 6.875

2.  Genotypes of the cytochrome p450 isoform, CYP2C9, and the vitamin K epoxide reductase complex subunit 1 conjointly determine stable warfarin dose: a prospective study.

Authors:  John F Carlquist; Benjamin D Horne; Joseph B Muhlestein; Donald L Lappé; Bryant M Whiting; Matthew J Kolek; Jessica L Clarke; Brent C James; Jeffrey L Anderson
Journal:  J Thromb Thrombolysis       Date:  2006-12       Impact factor: 2.300

Review 3.  Are genetic self-tests dangerous? Assessing the commercialization of genetic testing in terms of personal autonomy.

Authors:  Ludvig Beckman
Journal:  Theor Med Bioeth       Date:  2004

4.  Relative contribution of CYP2C9 and VKORC1 genotypes and early INR response to the prediction of warfarin sensitivity during initiation of therapy.

Authors:  Chun Li; Ute I Schwarz; Marylyn D Ritchie; Dan M Roden; C Michael Stein; Daniel Kurnik
Journal:  Blood       Date:  2008-12-12       Impact factor: 22.113

5.  Exploring warfarin pharmacogenomics with the extreme-discordant-phenotype methodology: impact of FVII polymorphisms on stable anticoagulation with warfarin.

Authors:  Mateus Fuchshuber-Moraes; Jamila A Perini; Dieter Rosskopf; Guilherme Suarez-Kurtz
Journal:  Eur J Clin Pharmacol       Date:  2009-04-23       Impact factor: 2.953

6.  A policy model to evaluate the benefits, risks and costs of warfarin pharmacogenomic testing.

Authors:  Lisa M Meckley; James M Gudgeon; Jeffrey L Anderson; Marc S Williams; David L Veenstra
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

7.  Influence of CYP2C9 and VKORC1 on warfarin response during initiation of therapy.

Authors:  N A Limdi; H Wiener; J A Goldstein; R T Acton; T M Beasley
Journal:  Blood Cells Mol Dis       Date:  2009-03-17       Impact factor: 3.039

8.  Laboratory and clinical outcomes of pharmacogenetic vs. clinical protocols for warfarin initiation in orthopedic patients.

Authors:  P A Lenzini; G R Grice; P E Milligan; M B Dowd; S Subherwal; E Deych; C S Eby; C R King; R M Porche-Sorbet; C V Murphy; R Marchand; E A Millican; R L Barrack; J C Clohisy; K Kronquist; S K Gatchel; B F Gage
Journal:  J Thromb Haemost       Date:  2008-07-24       Impact factor: 5.824

9.  Comparison of an anticoagulation clinic with usual medical care: anticoagulation control, patient outcomes, and health care costs.

Authors:  E Chiquette; M G Amato; H I Bussey
Journal:  Arch Intern Med       Date:  1998 Aug 10-24

10.  The largest prospective warfarin-treated cohort supports genetic forecasting.

Authors:  Mia Wadelius; Leslie Y Chen; Jonatan D Lindh; Niclas Eriksson; Mohammed J R Ghori; Suzannah Bumpstead; Lennart Holm; Ralph McGinnis; Anders Rane; Panos Deloukas
Journal:  Blood       Date:  2008-06-23       Impact factor: 22.113

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  3 in total

1.  Association between VKORC1 gene polymorphism and warfarin dose requirement and frequency of VKORC1 gene polymorphism in patients from Kerman province.

Authors:  Mohammad Javad Soltani Banavandi; Naghmeh Satarzadeh
Journal:  Pharmacogenomics J       Date:  2020-01-06       Impact factor: 3.550

2.  Pharmacogenetic testing affects choice of therapy among women considering tamoxifen treatment.

Authors:  Wendy Lorizio; Hope Rugo; Mary S Beattie; Simone Tchu; Teri Melese; Michelle Melisko; Alan Hb Wu; H Jeffrey Lawrence; Michele Nikoloff; Elad Ziv
Journal:  Genome Med       Date:  2011-10-04       Impact factor: 11.117

3.  Warfarin anticoagulant therapy: a Southern Italy pharmacogenetics-based dosing model.

Authors:  Cristina Mazzaccara; Valeria Conti; Rosario Liguori; Vittorio Simeon; Mario Toriello; Angelo Severini; Corrado Perricone; Alfonso Meccariello; Pasquale Meccariello; Dino Franco Vitale; Amelia Filippelli; Lucia Sacchetti
Journal:  PLoS One       Date:  2013-08-26       Impact factor: 3.240

  3 in total

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