Literature DB >> 28672100

Warfarin Pharmacogenomics in Diverse Populations.

Justin B Kaye1, Lauren E Schultz2, Heidi E Steiner1, Rick A Kittles3,4,5, Larisa H Cavallari6, Jason H Karnes1,5,7.   

Abstract

Genotype-guided warfarin dosing algorithms are a rational approach to optimize warfarin dosing and potentially reduce adverse drug events. Diverse populations, such as African Americans and Latinos, have greater variability in warfarin dose requirements and are at greater risk for experiencing warfarin-related adverse events compared with individuals of European ancestry. Although these data suggest that patients of diverse populations may benefit from improved warfarin dose estimation, the vast majority of literature on genotype-guided warfarin dosing, including data from prospective randomized trials, is in populations of European ancestry. Despite differing frequencies of variants by race/ethnicity, most evidence in diverse populations evaluates variants that are most common in populations of European ancestry. Algorithms that do not include variants important across race/ethnic groups are unlikely to benefit diverse populations. In some race/ethnic groups, development of race-specific or admixture-based algorithms may facilitate improved genotype-guided warfarin dosing algorithms above and beyond that seen in individuals of European ancestry. These observations should be considered in the interpretation of literature evaluating the clinical utility of genotype-guided warfarin dosing. Careful consideration of race/ethnicity and additional evidence focused on improving warfarin dosing algorithms across race/ethnic groups will be necessary for successful clinical implementation of warfarin pharmacogenomics. The evidence for warfarin pharmacogenomics has a broad significance for pharmacogenomic testing, emphasizing the consideration of race/ethnicity in discovery of gene-drug pairs and development of clinical recommendations for pharmacogenetic testing.
© 2017 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  anticoagulation; diversity; pharmacogenomics; warfarin

Mesh:

Substances:

Year:  2017        PMID: 28672100      PMCID: PMC6913521          DOI: 10.1002/phar.1982

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  70 in total

1.  Pharmacogenomics of warfarin dose requirements in Hispanics.

Authors:  Larisa H Cavallari; Kathryn M Momary; Shitalben R Patel; Nancy L Shapiro; Edith Nutescu; Marlos A G Viana
Journal:  Blood Cells Mol Dis       Date:  2010-12-24       Impact factor: 3.039

2.  Interindividual variability in sensitivity to warfarin--Nature or nurture?

Authors:  R Loebstein; H Yonath; D Peleg; S Almog; M Rotenberg; A Lubetsky; J Roitelman; D Harats; H Halkin; D Ezra
Journal:  Clin Pharmacol Ther       Date:  2001-08       Impact factor: 6.875

3.  Poor warfarin dose prediction with pharmacogenetic algorithms that exclude genotypes important for African Americans.

Authors:  Katarzyna Drozda; Shan Wong; Shitalben R Patel; Adam P Bress; Edith A Nutescu; Rick A Kittles; Larisa H Cavallari
Journal:  Pharmacogenet Genomics       Date:  2015-02       Impact factor: 2.089

4.  Comparison of outcomes among patients randomized to warfarin therapy according to anticoagulant control: results from SPORTIF III and V.

Authors:  Harvey D White; Michael Gruber; Jan Feyzi; Scott Kaatz; Hung-Fat Tse; Steen Husted; Gregory W Albers
Journal:  Arch Intern Med       Date:  2007-02-12

5.  Effect of NQO1 and CYP4F2 genotypes on warfarin dose requirements in Hispanic-Americans and African-Americans.

Authors:  Adam Bress; Shitalben R Patel; Minoli A Perera; Richard T Campbell; Rick A Kittles; Larisa H Cavallari
Journal:  Pharmacogenomics       Date:  2012-12       Impact factor: 2.533

6.  Racial/ethnic differences in atrial fibrillation symptoms, treatment patterns, and outcomes: Insights from Outcomes Registry for Better Informed Treatment for Atrial Fibrillation Registry.

Authors:  Harsh Golwala; Larry R Jackson; DaJuanicia N Simon; Jonathan P Piccini; Bernard Gersh; Alan S Go; Elaine M Hylek; Peter R Kowey; Kenneth W Mahaffey; Laine Thomas; Gregg C Fonarow; Eric D Peterson; Kevin L Thomas
Journal:  Am Heart J       Date:  2015-12-30       Impact factor: 4.749

7.  Factors influencing warfarin dose requirements in African-Americans.

Authors:  Kathryn M Momary; Nancy L Shapiro; Marlos Ag Viana; Edith A Nutescu; Cathy M Helgason; Larisa H Cavallari
Journal:  Pharmacogenomics       Date:  2007-11       Impact factor: 2.533

8.  Primary care guidelines for the management of persons infected with human immunodeficiency virus: 2009 update by the HIV medicine Association of the Infectious Diseases Society of America.

Authors:  Judith A Aberg; Jonathan E Kaplan; Howard Libman; Patricia Emmanuel; Jean R Anderson; Valerie E Stone; James M Oleske; Judith S Currier; Joel E Gallant
Journal:  Clin Infect Dis       Date:  2009-09-01       Impact factor: 9.079

9.  Universal versus genotype-guided use of direct oral anticoagulants in atrial fibrillation patients: a decision analysis.

Authors:  Joyce H S You
Journal:  Pharmacogenomics       Date:  2015-07-31       Impact factor: 2.533

10.  Economic Evaluations of Pharmacogenetic and Pharmacogenomic Screening Tests: A Systematic Review. Second Update of the Literature.

Authors:  Elizabeth J J Berm; Margot de Looff; Bob Wilffert; Cornelis Boersma; Lieven Annemans; Stefan Vegter; Job F M van Boven; Maarten J Postma
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

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  22 in total

Review 1.  Pharmacogenetics of warfarin dosing in patients of African and European ancestry.

Authors:  Aditi Shendre; Chrisly Dillon; Nita A Limdi
Journal:  Pharmacogenomics       Date:  2018-10-22       Impact factor: 2.533

Review 2.  Precision medicine: does ethnicity information complement genotype-based prescribing decisions?

Authors:  Rashmi R Shah; Andrea Gaedigk
Journal:  Ther Adv Drug Saf       Date:  2017-12-01

3.  Verification of pharmacogenomics-based algorithms to predict warfarin maintenance dose using registered data of Japanese patients.

Authors:  Maki Sasano; Masako Ohno; Yuya Fukuda; Shinpei Nonen; Sachiko Hirobe; Shinichiro Maeda; Yoshihiro Miwa; Junya Yokoyama; Hiroyuki Nakayama; Shigeru Miyagawa; Yoshiki Sawa; Yasushi Fujio; Makiko Maeda
Journal:  Eur J Clin Pharmacol       Date:  2019-03-09       Impact factor: 2.953

4.  Preliminary outcomes of preemptive warfarin pharmacogenetic testing at a large rural healthcare center.

Authors:  Emili Leary; Murray Brilliant; Peggy Peissig; Sara Griesbach
Journal:  Am J Health Syst Pharm       Date:  2019-02-21       Impact factor: 2.637

5.  Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines.

Authors:  Stanley E Hooker; Leanne Woods-Burnham; K Sean Kimbro; Rick A Kittles; Madhavi Bathina; Stacy Lloyd; Priyatham Gorjala; Ranjana Mitra; Larisa Nonn
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-02-20       Impact factor: 4.254

6.  Genetic variation of pharmacogenomic VIP variants in the Chinese Li population: an updated research.

Authors:  Shuangyu Yang; Xia Dou; Zhen Wang; Wenjie Zhang; Kefan Ding; Wenting Meng; Haiyue Li; Jianfeng Liu; Yuanwei Liu; Tianbo Jin
Journal:  Mol Genet Genomics       Date:  2022-02-11       Impact factor: 3.291

7.  Polymorphism of the CYP2C9 and VKORC1 genes in patients on the public health system of a municipality in Southern Brazil.

Authors:  Christiane Colet; Mariana Rodrigues Botton; Karin Hepp Schwambach; Tânia Alves Amador; Isabela Heineck
Journal:  J Vasc Bras       Date:  2021-05-19

8.  Evaluation of CYP2C9- and VKORC1-based pharmacogenetic algorithm for warfarin dose in Gaza-Palestine.

Authors:  Basim Mohammad Ayesh; Ahmed Shaker Abu Shaaban; Abdalla Asaf Abed
Journal:  Future Sci OA       Date:  2018-01-10

9.  Genotype-driven pharmacokinetic simulations of warfarin levels in Puerto Ricans.

Authors:  Stephanie Reyes-González; Camila de Las Barreras; Gledys Reynaldo; Leyanis Rodríguez-Vera; Cornelis Vlaar; Vilmali Lopez Mejias; Jean-Christophe M Monbaliu; Torsten Stelzer; Victor Mangas; Jorge Duconge
Journal:  Drug Metab Pers Ther       Date:  2020-08-19

10.  Leveraging the Learning Health Care Model to Improve Equity in the Age of Genomic Medicine.

Authors:  Katherine D Blizinsky; Vence L Bonham
Journal:  Learn Health Syst       Date:  2017-11-27
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