Literature DB >> 20017675

Clinical pharmacology and pharmacogenetics in a genomics era: the DMET platform.

Tristan M Sissung1, Bevin C English, David Venzon, William D Figg, John F Deeken.   

Abstract

While no genome-wide pharmacogenetics study has yet been published, the field of pharmacogenetics is moving towards exploratory, large-scale analyses of the interaction between genetic variation and drug treatment. The Drug Metabolizing Enzymes and Transporters (DMET) platform offers a standardized set of 1936 variants in 225 genes related to drug absorption, distribution, metabolism and elimination that is useful to scan the genome for previously unknown associations between variation in absorption, distribution, metabolism and elimination genes and pharmacokinetic and pharmacodynamic outcomes of drug treatment. The purpose of this review is to put the DMET platform into context within the current study designs that have been used in pharmacogenetics, and to explore the role that DMET has played - and will play - in future pharmacogenetics studies.

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Year:  2010        PMID: 20017675      PMCID: PMC6448402          DOI: 10.2217/pgs.09.154

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


  23 in total

1.  Assessment of a pharmacogenomic marker panel in a polypharmacy population identified from electronic medical records.

Authors:  Matthew T Oetjens; Joshua C Denny; Marylyn D Ritchie; Niloufar B Gillani; Danielle M Richardson; Nicole A Restrepo; Jill M Pulley; Holli H Dilks; Melissa A Basford; Erica Bowton; Dan R Masys; Russell A Wilke; Dan M Roden; Dana C Crawford
Journal:  Pharmacogenomics       Date:  2013-05       Impact factor: 2.533

2.  Concordance of DMET plus genotyping results with those of orthogonal genotyping methods.

Authors:  C A Fernandez; C Smith; W Yang; R Lorier; K R Crews; N Kornegay; J K Hicks; C F Stewart; J D Kawedia; L B Ramsey; C Liu; W E Evans; M V Relling; U Broeckel
Journal:  Clin Pharmacol Ther       Date:  2012-08-08       Impact factor: 6.875

3.  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

4.  Minimum information required for a DMET experiment reporting.

Authors:  Judit Kumuthini; Mamana Mbiyavanga; Emile R Chimusa; Jyotishman Pathak; Panu Somervuo; Ron Hn Van Schaik; Vita Dolzan; Clint Mizzi; Kusha Kalideen; Raj S Ramesar; Milan Macek; George P Patrinos; Alessio Squassina
Journal:  Pharmacogenomics       Date:  2016-08-22       Impact factor: 2.533

5.  PG4KDS: a model for the clinical implementation of pre-emptive pharmacogenetics.

Authors:  James M Hoffman; Cyrine E Haidar; Mark R Wilkinson; Kristine R Crews; Donald K Baker; Nancy M Kornegay; Wenjian Yang; Ching-Hon Pui; Ulrike M Reiss; Aditya H Gaur; Scott C Howard; William E Evans; Ulrich Broeckel; Mary V Relling
Journal:  Am J Med Genet C Semin Med Genet       Date:  2014-03-11       Impact factor: 3.908

6.  PharmGKB: the Pharmacogenomics Knowledge Base.

Authors:  Caroline F Thorn; Teri E Klein; Russ B Altman
Journal:  Methods Mol Biol       Date:  2013

7.  Assessment of the clinical utility of pharmacogenetic guidance in a comprehensive medication management service.

Authors:  Idaliz Rodríguez-Escudero; Julio A Cedeño; Ileana Rodríguez-Nazario; Gledys Reynaldo-Fernández; Leyanis Rodríguez-Vera; Niretzy Morales; Braulio Jiménez-Vélez; Gualberto Ruaño; Jorge Duconge
Journal:  J Am Coll Clin Pharm       Date:  2020-05-02

8.  Performance of exome sequencing for pharmacogenomics.

Authors:  Eric R Londin; Peter Clark; Marialuisa Sponziello; Larry J Kricka; Paolo Fortina; Jason Y Park
Journal:  Per Med       Date:  2014       Impact factor: 2.512

9.  Genetic heterogeneity beyond CYP2C8*3 does not explain differential sensitivity to paclitaxel-induced neuropathy.

Authors:  Daniel L Hertz; Siddharth Roy; John Jack; Alison A Motsinger-Reif; Amy Drobish; L Scott Clark; Lisa A Carey; E Claire Dees; Howard L McLeod
Journal:  Breast Cancer Res Treat       Date:  2014-04-06       Impact factor: 4.872

10.  Genotyping performance between saliva and blood-derived genomic DNAs on the DMET array: a comparison.

Authors:  Yueshan Hu; Erik A Ehli; Kelly Nelson; Krista Bohlen; Christophina Lynch; Patty Huizenga; Julie Kittlelsrud; Timothy J Soundy; Gareth E Davies
Journal:  PLoS One       Date:  2012-03-20       Impact factor: 3.240

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