Literature DB >> 15576288

Pharmacogenomic genotyping methodologies.

Paul J Jannetto1, Elvan Laleli-Sahin, Steven H Wong.   

Abstract

"Personalized medicine" based on an individual's genetic makeup is slowly becoming a reality as pharmacogenomics moves from the research setting to the clinical laboratory. Concordance studies between genotype and phenotype have shown that inherited mutations in several key drug-metabolizing enzymes, such as cytochrome P450 ( CYP ) 2D6 , 2C9 , and 2C19 , result in several distinct phenotypes that lead to different individual responses following drug administration. One of the major driving forces behind pharmacogenomics and its ability to be used effectively are the technologies that are available. A beneficial genotyping test must identify most or all of the mutations that have a significant impact on the expression or function of drug-metabolizing enzymes, transporter proteins, and/or drug receptors. Selection of the appropriate technology will be based on several issues, including prior knowledge of the mutation/polymorphism, sensitivity/specificity, sample requirements, and cost. Since the future volume of pharmacogenomic testing is anticipated to be large, automation of pharmacogenomics will also become increasingly important. This paper provides an overview of current technologies available for assessing polymorphisms on a small- to large-scale basis.

Entities:  

Mesh:

Year:  2004        PMID: 15576288     DOI: 10.1515/CCLM.2004.246

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  4 in total

1.  The high prevalence of the poor and ultrarapid metabolite alleles of CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5 in Taiwanese population.

Authors:  Ya-Huei Liou; Chien-Ting Lin; Ying-Jye Wu; Lawrence Shih-Hsin Wu
Journal:  J Hum Genet       Date:  2006-08-19       Impact factor: 3.172

2.  The SNPlex genotyping system: a flexible and scalable platform for SNP genotyping.

Authors:  Andreas R Tobler; Sabine Short; Mark R Andersen; Teodoro M Paner; Jason C Briggs; Stephen M Lambert; Priscilla P Wu; Yiwen Wang; Alexander Y Spoonde; Ryan T Koehler; Nicolas Peyret; Caifu Chen; Adam J Broomer; Dana A Ridzon; Hui Zhou; Bradley S Hoo; Kathleen C Hayashibara; Lilley N Leong; Congcong N Ma; Barnet B Rosenblum; Joseph P Day; Janet S Ziegle; Francisco M De La Vega; Michael D Rhodes; Kevin M Hennessy; H Michael Wenz
Journal:  J Biomol Tech       Date:  2005-12

3.  A randomized placebo controlled trial to evaluate the effects of butamirate and dextromethorphan on capsaicin induced cough in healthy volunteers.

Authors:  Shoaib Faruqi; Caroline Wright; Rachel Thompson; Alyn H Morice
Journal:  Br J Clin Pharmacol       Date:  2014-12       Impact factor: 4.335

Review 4.  Technologies for Pharmacogenomics: A Review.

Authors:  Maaike van der Lee; Marjolein Kriek; Henk-Jan Guchelaar; Jesse J Swen
Journal:  Genes (Basel)       Date:  2020-12-04       Impact factor: 4.096

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.