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

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

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Background: The ADME Core Panel assays 184 variants across 34 pharmacogenes, many of which are difficult to accurately genotype with standard multiplexing methods. Methods: We genotyped 326 frequently medicated individuals of European descent in Vanderbilts biorepository linked to de-identified electronic medical records, BioVU, on the ADME Core Panel to assess quality and performance of the assay. We compared quality control metrics and determined the extent of direct and indirect marker overlap between the ADME Core Panel and the Illumina Omni1-Quad. Results: We found the quality of the ADME Core Panel data to be high, with exceptions in select copy number variants and markers in certain genes (notably CYP2D6). Most of the common variants on the ADME panel are genotyped by the Omni1, but absent rare variants and copy number variants could not be accurately tagged by single markers. Conclusion: Our frequently medicated study population did not convincingly differ in allele frequency from reference populations, suggesting that heterogeneous clinical samples (with respect to medications) have similar allele frequency distributions in pharmacogenetics genes compared with reference populations. Original submitted 25 October 2012; Revision submitted 20 March 201.

Original languageEnglish (US)
Pages (from-to)735-744
Number of pages10
JournalPharmacogenomics
Volume14
Issue number7
DOIs
StatePublished - May 2013

All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Genetics
  • Pharmacology

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