Literature DB >> 11134663

Extreme discordant phenotype methodology: an intuitive approach to clinical pharmacogenetics.

D W Nebert1.   

Abstract

Pharmacogenetics represents "the study of variability in drug response due to heredity". Of the more than six dozen pharmacogenetic differences described in the medical literature, the majority of these variations occurs in drug-metabolizing enzyme genes and others in drug receptor and drug transporter genes, whereas many others have not yet been explained on a molecular basis. It is clear that "drug efficacy" or "drug toxicity" represents a multiplex phenotype, i.e. interaction between the drug (or its metabolites) and the gene products (enzymes, receptors, other targets) of two, and usually many more than two, genes. Because there is a gradient in these phenotypes (efficacy or toxicity), it is extremely important to select patients having the most unequivocal phenotype possible-if one wishes to find the gene(s) responsible for the trait. The method of "extreme discordant phenotype" (EDP) is therefore highly recommended. Using EDP methodology, DNA sequence variants (genotype) can be unconditionally correlated with drug efficacy or toxicity (phenotype). EDP methodology is mathematically intuitive and, in essence, has been used in a number of previous clinical pharmacogenetic studies. This EDP approach should be applicable to virtually any pharmaceutical agent in patient populations.

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Year:  2000        PMID: 11134663     DOI: 10.1016/s0014-2999(00)00809-8

Source DB:  PubMed          Journal:  Eur J Pharmacol        ISSN: 0014-2999            Impact factor:   4.432


  37 in total

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Authors:  J M Ryan; R Loy; P N Tariot
Journal:  Curr Psychiatry Rep       Date:  2001-10       Impact factor: 5.285

2.  Prediction of drug response and safety in clinical practice.

Authors:  Andrew A Monte; Kennon J Heard; Vasilis Vasiliou
Journal:  J Med Toxicol       Date:  2012-03

Review 3.  Selection of extreme phenotypes: the role of clinical observation in translational research.

Authors:  José Luis Pérez-Gracia; Alfonso Gúrpide; María Gloria Ruiz-Ilundain; Carlos Alfaro Alegría; Ramon Colomer; Jesús García-Foncillas; Ignacio Melero Bermejo
Journal:  Clin Transl Oncol       Date:  2010-03       Impact factor: 3.405

4.  An extremes of outcome strategy provides evidence that multiple sclerosis severity is determined by alleles at the HLA-DRB1 locus.

Authors:  G C DeLuca; S V Ramagopalan; B M Herrera; D A Dyment; M R Lincoln; A Montpetit; M Pugliatti; M C N Barnardo; N J Risch; A D Sadovnick; M Chao; S Sotgiu; T J Hudson; G C Ebers
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-17       Impact factor: 11.205

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.  The future of the human SNP identification: which individuals to sequence?

Authors:  Juergen K V Reichardt; Ruty Mehrian-Shai
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-29       Impact factor: 11.205

Review 7.  From human genetics and genomics to pharmacogenetics and pharmacogenomics: past lessons, future directions.

Authors:  Daniel W Nebert; Ge Zhang; Elliot S Vesell
Journal:  Drug Metab Rev       Date:  2008       Impact factor: 4.518

8.  Neurocircuitry underlying risk and resilience to social anxiety disorder.

Authors:  Jacqueline A Clauss; Suzanne N Avery; Ross M VanDerKlok; Baxter P Rogers; Ronald L Cowan; Margaret M Benningfield; Jennifer Urbano Blackford
Journal:  Depress Anxiety       Date:  2014-04-17       Impact factor: 6.505

9.  Altered Prefrontal Cortex Function Marks Heightened Anxiety Risk in Children.

Authors:  Jacqueline Alexandra Clauss; Margaret M Benningfield; Uma Rao; Jennifer Urbano Blackford
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2016-07-01       Impact factor: 8.829

10.  The retinoic acid receptor alpha (RARA) gene is not associated with myopia, hypermetropia, and ocular biometric measures.

Authors:  S Veerappan; M Schäche; K K Pertile; F M A Islam; C Y Chen; P Mitchell; M Dirani; P N Baird
Journal:  Mol Vis       Date:  2009-07-17       Impact factor: 2.367

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