Literature DB >> 21392617

The relation between CYP2C19 genotype and phenotype in stented patients on maintenance dual antiplatelet therapy.

Paul A Gurbel1, Alan R Shuldiner, Kevin P Bliden, Kathaleen Ryan, Ruth E Pakyz, Udaya S Tantry.   

Abstract

Both high platelet reactivity (HPR) and CYP2C19 genotyping have been proposed to stratify cardiovascular event risk and to personalize maintenance dual antiplatelet therapy (DAPT) in stented patients. However, how well CYP2C19 genotype correlates with HPR in patients on maintenance DAPT is less clear. We determined the association of CYP2C19 loss-of-function (*2) and gain-of-function (*17) allele status with platelet reactivity in 118 stented patients on DAPT ≥2 weeks and in 143 patients with stable coronary artery disease on aspirin therapy alone. Thirty-three percent and 39% carried at least 1 copy of *2 and *17 alleles, respectively. Neither allele was associated with platelet reactivity in patients on aspirin therapy alone. On DAPT, platelet aggregation was higher in those with *2 allele than noncarriers (P ≤ .01) but did not differ between those with the *17 allele and noncarriers. The prevalence of HPR using the 20 μM adenosine diphosphate-induced aggregation cutpoint was 34% in the total population: 26% in *1/*1 homozygotes, 49% in those with the *2 allele, and 20% in those with the *17 allele (P = .006). Determination of diplotype status enhanced identification of HPR. However, platelet function on DAPT is highly variable within diplotype groups. Therefore, CYP2C19 genotype and HPR are imperfect correlates of each other. Because both predict cardiovascular events with similar risk ratios, CYP2C19 genotyping and HPR may provide complementary information to stratify risk and personalized DAPT in stented patients than either alone.
Copyright © 2011 Mosby, Inc. All rights reserved.

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Year:  2011        PMID: 21392617      PMCID: PMC3061841          DOI: 10.1016/j.ahj.2010.12.011

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  18 in total

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7.  Pharmacogenomics Informs Cardiovascular Pharmacotherapy.

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