Predicting clopidogrel response using DNA samples linked to an electronic health record

J. T. Delaney, A. H. Ramirez, E. Bowton, J. M. Pulley, M. A. Basford, J. S. Schildcrout, Y. Shi, R. Zink, M. Oetjens, H. Xu, J. H. Cleator, E. Jahangir, M. D. Ritchie, D. R. Masys, D. M. Roden, D. C. Crawford, J. C. Denny

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79 Scopus citations

Abstract

Variants in ABCB1 and CYP2C19 have been identified as predictors of cardiac events during clopidogrel therapy initiated after myocardial infarction (MI) or percutaneous coronary intervention (PCI). In addition, PON1 has recently been associated with stent thrombosis. The reported effects of these variants have not yet been replicated in a real-world setting. We used BioVU, the Vanderbilt DNA repository linked to de-identified electronic health records (EHRs), to find data on patients who were on clopidogrel treatment after an MI and/or a PCI; among these, we identified those who had experienced one or more recurrent cardiac events while on treatment (cases, n = 225) and those who had not experienced any cardiac event while on treatment (controls, n = 468). We found that CYP2C19*2 (hazard ratio (HR) 1.54, 95% confidence interval (CI) 1.16-2.06, P = 0.003) and ABCB1 (HR 1.28, 95% CI 1.04-1.57, P = 0.018), but not PON1 (HR 0.91, 95% CI 0.73-1.12, P = 0.370), were associated with recurrent events. In this population, genetic signals for clopidogrel resistance in ABCB1 and CYP2C19 were replicated, supporting the use of EHRs for pharmacogenomic studies. Our data do not show an association between PON1 and recurrent cardiovascular events.

Original languageEnglish (US)
Pages (from-to)257-263
Number of pages7
JournalClinical pharmacology and therapeutics
Volume91
Issue number2
DOIs
StatePublished - Feb 1 2012

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Pharmacology (medical)

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    Delaney, J. T., Ramirez, A. H., Bowton, E., Pulley, J. M., Basford, M. A., Schildcrout, J. S., Shi, Y., Zink, R., Oetjens, M., Xu, H., Cleator, J. H., Jahangir, E., Ritchie, M. D., Masys, D. R., Roden, D. M., Crawford, D. C., & Denny, J. C. (2012). Predicting clopidogrel response using DNA samples linked to an electronic health record. Clinical pharmacology and therapeutics, 91(2), 257-263. https://doi.org/10.1038/clpt.2011.221