Literature DB >> 18240910

Use of genetic and nongenetic factors in warfarin dosing algorithms.

Alan H B Wu1.   

Abstract

Despite the fact that warfarin has been used as an anticoagulant for many years, the safety profile for this drug has been poor. Inappropriate dosing continues to contribute to significant morbidity and mortality due to thrombotic disease and bleeding. Therefore, there is a need for the development, characterization and implementation of dosing algorithms using a patient's demographic information and genotype. Recently, polymorphisms in two genes, cytochrome P450 2C9 and vitamin K epoxide reductase complex 1, have been shown to affect warfarin's pharmacogenomics and pharmacodynamics, respectively. Adding genotypes to a dosing algorithm may enable better prediction of initial warfarin dosing than use of demographic data alone. An advisory committee of the US FDA voted on November 14, 2005, to require manufacturers of warfarin to relabel their product, indicating that genotyping is recommended prior to drug administration. The exact date when this recommendation will be enacted remains to be determined. Successful implementation of pharmacogenomics into clinical practice requires genotyping results that can be translated directly into clinical decisions. The development of a warfarin dosing algorithm that includes genotyping may be the means to achieve this goal.

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Year:  2007        PMID: 18240910     DOI: 10.2217/14622416.8.7.851

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  27 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.  Influence of CYP2C9 and VKORC1 on warfarin dose, anticoagulation attainment and maintenance among European-Americans and African-Americans.

Authors:  Nita A Limdi; Donna K Arnett; Joyce A Goldstein; T Mark Beasley; Gerald McGwin; Brian K Adler; Ronald T Acton
Journal:  Pharmacogenomics       Date:  2008-05       Impact factor: 2.533

3.  Pharmacogenomics-based practice in North Cyprus: its adoption by pharmacists and their attitudes and knowledge.

Authors:  Louai Alsaloumi; Abdikarim Abdi; Özgür Tosun; Bilgen Başgut
Journal:  Int J Clin Pharm       Date:  2019-07-02

4.  CYP2C9 and VKORC1 genotypes in Puerto Ricans: A case for admixture-matching in clinical pharmacogenetic studies.

Authors:  David Villagra; Jorge Duconge; Andreas Windemuth; Carmen L Cadilla; Mohan Kocherla; Krystyna Gorowski; Kali Bogaard; Jessica Y Renta; Irelys A Cruz; Sara Mirabal; Richard L Seip; Gualberto Ruaño
Journal:  Clin Chim Acta       Date:  2010-05-19       Impact factor: 3.786

Review 5.  Pharmacogenetics of drug-metabolizing enzymes in US Hispanics.

Authors:  Karla Claudio-Campos; Jorge Duconge; Carmen L Cadilla; Gualberto Ruaño
Journal:  Drug Metab Pers Ther       Date:  2015-06

6.  CYP2C9 and VKORC1 polymorphisms influence warfarin dose variability in patients on long-term anticoagulation.

Authors:  Paulo Caleb Junior Lima Santos; Carla Luana Dinardo; Isolmar Tadeu Schettert; Renata Alonso Gadi Soares; Liz Kawabata-Yoshihara; Isabela Martins Bensenor; José Eduardo Krieger; Paulo Andrade Lotufo; Alexandre Costa Pereira
Journal:  Eur J Clin Pharmacol       Date:  2012-09-19       Impact factor: 2.953

7.  VKORC1 polymorphisms, haplotypes and haplotype groups on warfarin dose among African-Americans and European-Americans.

Authors:  Nita A Limdi; T Mark Beasley; Michael R Crowley; Joyce A Goldstein; Mark J Rieder; David A Flockhart; Donna K Arnett; Ronald T Acton; Nianjun Liu
Journal:  Pharmacogenomics       Date:  2008-10       Impact factor: 2.533

8.  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

9.  Warfarin dosage adjustment strategy in Chinese population.

Authors:  Zhe Yu; Ying-Long Ding; Fei Lu; Li-Yan Miao; Zhen-Ya Shen; Wen-Xue Ye
Journal:  Int J Clin Exp Med       Date:  2015-06-15

10.  VKORC1 variant genotypes influence warfarin response in patients undergoing total joint arthroplasty: a pilot study.

Authors:  Alejandro González Della Valle; Saurabh Khakharia; Charles J Glueck; Nicole Taveras; Ping Wang; Robert N Fontaine; Eduardo A Salvati
Journal:  Clin Orthop Relat Res       Date:  2008-11-26       Impact factor: 4.176

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