Literature DB >> 18327779

Validation of the performance of a comprehensive genotyping assay panel of single nucleotide polymorphisms in drug metabolism enzyme genes.

Robert A Welch1, Katherine Lazaruk, Kashif A Haque, Fiona Hyland, Nianqing Xiao, Loni Wronka, Laura Burdett, Stephen J Chanock, Daniel Ingber, Francisco M De La Vega, Meredith Yeager.   

Abstract

A class of genes, known as drug metabolism enzymes (DMEs) are responsible for the metabolism and transport of drugs and other xenobiotics. Variation in DME genes most likely accounts for a proportion of the variability in drug response in humans, and may contribute to complex diseases such as cancer (Nebert DW, Dieter MZ. Pharmacology 2000;61:124-135). To date, assessing the extent of this variation has proven difficult, especially because of sequence paralogy issues that cause difficulty when attempting to genotype polymorphisms in very closely-related gene families (Murphy MP. Pharmacogenomics 2000;1:115-123; Ingelman-Sundberg M. Drug Metab Rev 1999;31:449-459). We have developed and genotyped a panel of N=2,325 individual TaqMan genotyping assays for polymorphisms in >200 DME genes; many of the variants in the panel are single nucleotide polymorphisms (SNPs) that are of known or putative function (e.g., missense, nonsense or frameshift). Using these assays, we have examined genetic variation among several groups of populations, including: 1) the two SNP500 Cancer population panels (http://snp500cancer.nci.nih.gov; last accessed: 11 December 2007); and 2) the panel used in the International HapMap Project panel (www.hapmap.org; last accessed: 11 December 2007). We have developed a comprehensive validation strategy to ensure reproducibility and accuracy of the assays and estimated minor allele frequencies. Here, we present the results of these analyses, which strongly suggest that this panel of DME assays are of extremely high quality and produce robust, accurate, and reproducible results.

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Year:  2008        PMID: 18327779     DOI: 10.1002/humu.20703

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  3 in total

1.  Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding.

Authors:  Kevin Judd McKernan; Heather E Peckham; Gina L Costa; Stephen F McLaughlin; Yutao Fu; Eric F Tsung; Christopher R Clouser; Cisyla Duncan; Jeffrey K Ichikawa; Clarence C Lee; Zheng Zhang; Swati S Ranade; Eileen T Dimalanta; Fiona C Hyland; Tanya D Sokolsky; Lei Zhang; Andrew Sheridan; Haoning Fu; Cynthia L Hendrickson; Bin Li; Lev Kotler; Jeremy R Stuart; Joel A Malek; Jonathan M Manning; Alena A Antipova; Damon S Perez; Michael P Moore; Kathleen C Hayashibara; Michael R Lyons; Robert E Beaudoin; Brittany E Coleman; Michael W Laptewicz; Adam E Sannicandro; Michael D Rhodes; Rajesh K Gottimukkala; Shan Yang; Vineet Bafna; Ali Bashir; Andrew MacBride; Can Alkan; Jeffrey M Kidd; Evan E Eichler; Martin G Reese; Francisco M De La Vega; Alan P Blanchard
Journal:  Genome Res       Date:  2009-06-22       Impact factor: 9.043

2.  Validation of a Large Custom-Designed Pharmacogenomics Panel on an Array Genotyping Platform.

Authors:  Nga Yeung Tang; Xun Pei; David George; Larry House; Keith Danahey; Elizabeth Lipschultz; Mark J Ratain; Peter H O'Donnell; Kiang-Teck J Yeo; Xander M R van Wijk
Journal:  J Appl Lab Med       Date:  2021-11-01

3.  SNP genotyping using TaqMan technology: the CYP2D6*17 assay conundrum.

Authors:  Andrea Gaedigk; Natalie Freeman; Toinette Hartshorne; Amanda K Riffel; David Irwin; Jeffrey R Bishop; Mark A Stein; Jeffrey H Newcorn; Lazara Karelia Montané Jaime; Mariana Cherner; J Steven Leeder
Journal:  Sci Rep       Date:  2015-03-19       Impact factor: 4.379

  3 in total

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