Literature DB >> 17140368

Determination of CYP2D6, CYP2C9 and CYP2C19 genotypes with Tag-It mutation detection assays.

Roberta Melis1, Elaine Lyon, Gwendolyn A McMillin.   

Abstract

Cytochrome P450 (CYP) genotyping can be used to prospectively identify individuals at risk for adverse drug reactions or therapeutic failure due to altered drug metabolism. Based on the specific CYP(s) affected, individuals may require less or more of a particular drug than people with unaffected CYP-mediated metabolism, or may be best managed by avoiding certain drugs entirely. Here we evaluated the Tag-It CYP mutation detection reagents (Tm Bioscience Corp.). As these reagents, based on a universal bead array, detect more than 20 clinically significant variants common to different ancestries, it was important to consider DNA from genetically diverse populations. Thus, we also report CYP2D6, CYP2C9 and CYP2C19 genotypes for DNA available through the Coriell Institute for Medical Research (NJ, USA). These samples represent individuals from Caucasian, Japanese, Chinese, Southeast Asian, African-American and Middle Eastern ancestry, and provide an excellent resource for evaluating and validating CYP genotyping methods. Using these samples, the Tag-It mutation detections assays reliably provided genotypes for CYP2D6, CYP2C9 and CYP2C19. The CYP2C9 and CYP2C19 assays were particularly robust and were easily implemented in our clinical laboratory. The CYP2D6 assay was somewhat less robust and could be improved by associating the 2850C>T variant with a specific allele, as well as by discriminating the allele affected when gene duplication is detected.

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Year:  2006        PMID: 17140368     DOI: 10.1586/14737159.6.6.811

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  4 in total

1.  Characterization of 107 genomic DNA reference materials for CYP2D6, CYP2C19, CYP2C9, VKORC1, and UGT1A1: a GeT-RM and Association for Molecular Pathology collaborative project.

Authors:  Victoria M Pratt; Barbara Zehnbauer; Jean Amos Wilson; Ruth Baak; Nikolina Babic; Maria Bettinotti; Arlene Buller; Ken Butz; Matthew Campbell; Chris Civalier; Abdalla El-Badry; Daniel H Farkas; Elaine Lyon; Saptarshi Mandal; Jason McKinney; Kasinathan Muralidharan; LeAnne Noll; Tara Sander; Junaid Shabbeer; Chingying Smith; Milhan Telatar; Lorraine Toji; Anand Vairavan; Carlos Vance; Karen E Weck; Alan H B Wu; Kiang-Teck J Yeo; Markus Zeller; Lisa Kalman
Journal:  J Mol Diagn       Date:  2010-10-01       Impact factor: 5.568

2.  Characterization of 137 Genomic DNA Reference Materials for 28 Pharmacogenetic Genes: A GeT-RM Collaborative Project.

Authors:  Victoria M Pratt; Robin E Everts; Praful Aggarwal; Brittany N Beyer; Ulrich Broeckel; Ruth Epstein-Baak; Paul Hujsak; Ruth Kornreich; Jun Liao; Rachel Lorier; Stuart A Scott; Chingying Huang Smith; Lorraine H Toji; Amy Turner; Lisa V Kalman
Journal:  J Mol Diagn       Date:  2015-11-24       Impact factor: 5.568

3.  Pharmacogenetic testing revisited: 5' nuclease real-time polymerase chain reaction test panels for genotyping CYP2D6 and CYP2C19.

Authors:  Jens Borggaard Larsen; Jan Borg Rasmussen
Journal:  Pharmgenomics Pers Med       Date:  2017-04-18

4.  Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites.

Authors:  Chad N Brocker; Thomas Velenosi; Hania K Flaten; Glenn McWilliams; Kyle McDaniel; Shelby K Shelton; Jessica Saben; Kristopher W Krausz; Frank J Gonzalez; Andrew A Monte
Journal:  Hum Genomics       Date:  2020-03-11       Impact factor: 4.639

  4 in total

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