Literature DB >> 19995676

Expectations, validity, and reality in pharmacogenetics.

Nita A Limdi1, David L Veenstra.   

Abstract

In this review, we discuss the potential expectations, validity, predictive ability, and reality of pharmacogenetics in (1) titration of medication dose, (2) prediction of intended (efficacy) drug response, and (3) dose prediction of unintended (adverse) drug response. We expound on what these potential genetic predictors tell us and, more importantly, what they cannot tell us. Although pharmacogenetic markers have been hailed as promising tools, these proclamations are based mainly on associations rather than their evaluation as predictors. To put the expectations of the promise of pharmacogenetics in a realistic perspective, we review three examples. First, warfarin pharmacogenetics, wherein although the validity of the genetic variant dose is established and there is a validity of genetic variant-hemorrhage association, the clinical utility of testing is not clear. Second, the strong and clinically relevant HLA-Stevens-Johnson syndrome/toxic epidermal necrolysis association highlights the role of ethnicity. Third, the influence of CYP2D6 on tamoxifen efficacy, a model candidate with potential clinical utility but unclear validity. These examples highlight both the challenges and opportunities of pharmacogenomics. First, establishing a valid association between a genetic variation and drug response; second, doing so for a clinically meaningful outcome; and third, providing solid evidence or rationale for improvement in patient outcomes compared with current standard of care.

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Year:  2009        PMID: 19995676      PMCID: PMC2888890          DOI: 10.1016/j.jclinepi.2009.09.006

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  61 in total

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Authors:  David S Feldman; Cynthia A Carnes; William T Abraham; Michael R Bristow
Journal:  Nat Clin Pract Cardiovasc Med       Date:  2005-09

Review 2.  The pharmacogenetics of asthma: an update.

Authors:  Kelan G Tantisira; Scott T Weiss
Journal:  Curr Opin Mol Ther       Date:  2005-06

Review 3.  A network of investigator networks in human genome epidemiology.

Authors:  John P A Ioannidis; Jonine Bernstein; Paolo Boffetta; John Danesh; Siobhan Dolan; Patricia Hartge; David Hunter; Peter Inskip; Marjo-Riitta Jarvelin; Julian Little; Demetrius M Maraganore; Julia A Newton Bishop; Thomas R O'Brien; Gloria Petersen; Elio Riboli; Daniela Seminara; Emanuela Taioli; André G Uitterlinden; Paolo Vineis; Deborah M Winn; Georgia Salanti; Julian P T Higgins; Muin J Khoury
Journal:  Am J Epidemiol       Date:  2005-07-13       Impact factor: 4.897

4.  Pharmacogenetics of tamoxifen biotransformation is associated with clinical outcomes of efficacy and hot flashes.

Authors:  Matthew P Goetz; James M Rae; Vera J Suman; Stephanie L Safgren; Matthew M Ames; Daniel W Visscher; Carol Reynolds; Fergus J Couch; Wilma L Lingle; David A Flockhart; Zeruesenay Desta; Edith A Perez; James N Ingle
Journal:  J Clin Oncol       Date:  2005-12-20       Impact factor: 44.544

5.  Association of genetic variation in tamoxifen-metabolizing enzymes with overall survival and recurrence of disease in breast cancer patients.

Authors:  Susan A Nowell; Jiyoung Ahn; James M Rae; Joshua O Scheys; Andrew Trovato; Carol Sweeney; Stewart L MacLeod; Fred F Kadlubar; Christine B Ambrosone
Journal:  Breast Cancer Res Treat       Date:  2005-06       Impact factor: 4.872

Review 6.  Pharmacogenomics and pharmacogenetics of hypertension: update and perspectives--the adducin paradigm.

Authors:  Paolo Manunta; Giuseppe Bianchi
Journal:  J Am Soc Nephrol       Date:  2006-04       Impact factor: 10.121

Review 7.  Pharmacogenomics of blood pressure response to antihypertensive treatment.

Authors:  Philip B Mellen; David M Herrington
Journal:  J Hypertens       Date:  2005-07       Impact factor: 4.844

8.  Genetic susceptibility to carbamazepine-induced cutaneous adverse drug reactions.

Authors:  Shuen-Iu Hung; Wen-Hung Chung; Shiou-Hwa Jee; Wen-Chieh Chen; Yun-Ting Chang; Woan-Ruoh Lee; Shu-Ling Hu; Meng-Tse Wu; Gwo-Shing Chen; Tak-Wah Wong; Pa-Fan Hsiao; Wei-Hsuan Chen; Han-Yu Shih; Wu-Hsiang Fang; Chun-Yu Wei; Yi-Hui Lou; Yau-Li Huang; Juei-Jueng Lin; Yuan-Tsong Chen
Journal:  Pharmacogenet Genomics       Date:  2006-04       Impact factor: 2.089

9.  Genotype of metabolic enzymes and the benefit of tamoxifen in postmenopausal breast cancer patients.

Authors:  Pia Wegman; Linda Vainikka; Olle Stål; Bo Nordenskjöld; Lambert Skoog; Lars-Erik Rutqvist; Sten Wingren
Journal:  Breast Cancer Res       Date:  2005-01-28       Impact factor: 6.466

10.  A road map for efficient and reliable human genome epidemiology.

Authors:  John P A Ioannidis; Marta Gwinn; Julian Little; Julian P T Higgins; Jonine L Bernstein; Paolo Boffetta; Melissa Bondy; Molly S Bray; Paul E Brenchley; Patricia A Buffler; Juan Pablo Casas; Anand Chokkalingam; John Danesh; George Davey Smith; Siobhan Dolan; Ross Duncan; Nelleke A Gruis; Patricia Hartge; Mia Hashibe; David J Hunter; Marjo-Riitta Jarvelin; Beatrice Malmer; Demetrius M Maraganore; Julia A Newton-Bishop; Thomas R O'Brien; Gloria Petersen; Elio Riboli; Georgia Salanti; Daniela Seminara; Liam Smeeth; Emanuela Taioli; Nic Timpson; Andre G Uitterlinden; Paolo Vineis; Nick Wareham; Deborah M Winn; Ron Zimmern; Muin J Khoury
Journal:  Nat Genet       Date:  2006-01       Impact factor: 38.330

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  14 in total

1.  Commentary: Children and predictive genomic testing: disease prevention, research protection, and our future.

Authors:  Beth A Tarini; Kenneth P Tercyak; Benjamin S Wilfond
Journal:  J Pediatr Psychol       Date:  2011-08-04

2.  Statistical Optimization of Pharmacogenomics Association Studies: Key Considerations from Study Design to Analysis.

Authors:  Benjamin J Grady; Marylyn D Ritchie
Journal:  Curr Pharmacogenomics Person Med       Date:  2011-03-01

3.  Genetic risk factors for major bleeding in patients treated with warfarin in a community setting.

Authors:  J A Roth; D Boudreau; M M Fujii; F M Farin; A E Rettie; K E Thummel; D L Veenstra
Journal:  Clin Pharmacol Ther       Date:  2014-02-06       Impact factor: 6.875

4.  Alcohol misuse, genetics, and major bleeding among warfarin therapy patients in a community setting.

Authors:  Joshua A Roth; Katharine Bradley; Kenneth E Thummel; David L Veenstra; Denise Boudreau
Journal:  Pharmacoepidemiol Drug Saf       Date:  2015-04-08       Impact factor: 2.890

5.  Pharmacogenomics in diverse practice settings: implementation beyond major metropolitan areas.

Authors:  Elizabeth H Dorfman; Susan Brown Trinidad; Chelsea T Morales; Kevin Howlett; Wylie Burke; Erica L Woodahl
Journal:  Pharmacogenomics       Date:  2015       Impact factor: 2.533

Review 6.  Genome-wide association studies in pharmacogenomics: successes and lessons.

Authors:  Alison A Motsinger-Reif; Eric Jorgenson; Mary V Relling; Deanna L Kroetz; Richard Weinshilboum; Nancy J Cox; Dan M Roden
Journal:  Pharmacogenet Genomics       Date:  2013-08       Impact factor: 2.089

7.  Genetic variations in human glutathione transferase enzymes: significance for pharmacology and toxicology.

Authors:  P David Josephy
Journal:  Hum Genomics Proteomics       Date:  2010-06-13

Review 8.  Building the evidence base for decision making in cancer genomic medicine using comparative effectiveness research.

Authors:  Katrina A B Goddard; William A Knaus; Evelyn Whitlock; Gary H Lyman; Heather Spencer Feigelson; Sheri D Schully; Scott Ramsey; Sean Tunis; Andrew N Freedman; Muin J Khoury; David L Veenstra
Journal:  Genet Med       Date:  2012-07       Impact factor: 8.822

Review 9.  Pharmacogenetics of drug hypersensitivity.

Authors:  Elizabeth J Phillips; Simon A Mallal
Journal:  Pharmacogenomics       Date:  2010-07       Impact factor: 2.533

10.  Getting our priorities straight: a novel framework for stakeholder-informed prioritization of cancer genomics research.

Authors:  Laura C Esmail; Josh Roth; Sneha Rangarao; Josh J Carlson; Rahber Thariani; Scott D Ramsey; David L Veenstra; Patricia Deverka
Journal:  Genet Med       Date:  2012-10-04       Impact factor: 8.822

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