Literature DB >> 20217574

DMET microarray technology for pharmacogenomics-based personalized medicine.

James K Burmester1, Marina Sedova, Michael H Shapero, Elaine Mansfield.   

Abstract

Human genome sequence variation in the form of single nucleotide polymorphisms (SNPs) as well as more complex structural variation such as insertions, duplications, and deletions underlies each individual's response to drugs and thus the likelihood of experiencing an adverse drug reaction. The ongoing challenge of the field of pharmacogenetics is to further understand the relationship between genetic variation and differential drug responses, with the overarching goal being that this will lead to improvements in both the safety and efficacy of drugs. The Affymetrix DMET Plus Premier Pack (DMET stands for Drug Metabolizing Enzymes and Transporters) enables highly multiplexed genotyping of known polymorphisms in Absorption, Distribution, Metabolism, and Elimination (ADME)-related genes on a single array. The DMET Plus Panel interrogates markers in 225 genes that have documented functional significance in phase I and phase II drug metabolism enzymes as well as drug transporters. The power of the DMET Assay has previously been demonstrated with regard to several different drugs including warfarin and clopidogrel. In a research study using an earlier four-color version of the assay, it was demonstrated that warfarin dosing can be influenced by a cytochrome P450 (CYP) 4F2 variant. Additionally, the assay has been used to demonstrate that CYP2C19 variants with decreased enzyme activity led to lower levels of the active clopidogrel metabolite, resulting in a decreased inhibition of platelets and a higher rate of cardiovascular events when compared to noncarriers of the DNA variant. Thus, highly multiplexed SNP genotyping focused on ADME-related polymorphisms should enable research into development of safer drugs with greater efficacy.

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Year:  2010        PMID: 20217574     DOI: 10.1007/978-1-60761-663-4_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  31 in total

Review 1.  Part 1: background, methodology, and clinical adoption of pharmacogenetics.

Authors:  Maarten J Deenen; Annemieke Cats; Jos H Beijnen; Jan H M Schellens
Journal:  Oncologist       Date:  2011-05-31

2.  Novel tagging SNP rs1495741 and 2-SNPs (rs1041983 and rs1801280) yield a high prediction of the NAT2 genotype in HapMap samples.

Authors:  Yi Jing He; Michael H Shapero; Howard L McLeod
Journal:  Pharmacogenet Genomics       Date:  2012-04       Impact factor: 2.089

3.  Comparison of genetic variation in drug ADME-related genes in Thais with Caucasian, African and Asian HapMap populations.

Authors:  Jiraphun Jittikoon; Surakameth Mahasirimongkol; Angkana Charoenyingwattana; Usa Chaikledkaew; Pramote Tragulpiankit; Supachoke Mangmool; Wimala Inunchot; Chayapol Somboonyosdes; Nuanjun Wichukchinda; Pathom Sawanpanyalert; Yijing He; Howard L McLeod; Wasun Chantratita
Journal:  J Hum Genet       Date:  2015-10-01       Impact factor: 3.172

4.  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

5.  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

6.  Genetic epidemiology of pharmacogenetic variants in South East Asian Malays using whole-genome sequences.

Authors:  A Sivadas; M Z Salleh; L K Teh; V Scaria
Journal:  Pharmacogenomics J       Date:  2016-05-31       Impact factor: 3.550

Review 7.  Comparison of delivery strategies for pharmacogenetic testing services.

Authors:  Susanne B Haga; Jivan Moaddeb
Journal:  Pharmacogenet Genomics       Date:  2014-03       Impact factor: 2.089

8.  Genome-wide pharmacogenomic study of neurocognition as an indicator of antipsychotic treatment response in schizophrenia.

Authors:  Joseph L McClay; Daniel E Adkins; Karolina Aberg; Jozsef Bukszár; Amit N Khachane; Richard S E Keefe; Diana O Perkins; Joseph P McEvoy; T Scott Stroup; Robert E Vann; Patrick M Beardsley; Jeffrey A Lieberman; Patrick F Sullivan; Edwin J C G van den Oord
Journal:  Neuropsychopharmacology       Date:  2010-11-24       Impact factor: 7.853

9.  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

10.  A comparison of DMET Plus microarray and genome-wide technologies by assessing population substructure.

Authors:  Jami N Jackson; Kevin M Long; Yijing He; Alison A Motsinger-Reif; Howard L McLeod; John Jack
Journal:  Pharmacogenet Genomics       Date:  2016-04       Impact factor: 2.089

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