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SAGE Publications, Journal of Psychopharmacology, 3(26), p. 398-407, 2011

DOI: 10.1177/0269881111414451

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CYP2C19 genotype predicts steady state escitalopram concentration in GENDEP

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This paper is available in a repository.

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Abstract

In vitro work shows CYP2C19 and CYP2D6 contribute to the metabolism of escitalopram to its primary metabolite, N-desmethylescitalopram. We report the effect of CYP2C19 and CYP2D6 genotypes on steady state morning concentrations of escitalopram and N-desmethylescitalopram and the ratio of this metabolite to the parent drug in 196 adult patients with depression in GENDEP, a clinical pharmacogenomic trial. Subjects who had one CYP2D6 allele associated with intermediate metabolizer phenotype and one associated with poor metabolizer (i.e. IM/PM genotypic category) had a higher mean logarithm escitalopram concentration than CYP2D6 extensive metabolizers (EMs) (p=0.004). Older age was also associated with higher concentrations of escitalopram. Covarying for CYP2D6 and age, we found those homozygous for the CYP2C19*17 allele associated with ultrarapid metabolizer (UM) phenotype had a significantly lower mean escitalopram concentration (2-fold, p=0.0001) and a higher mean metabolic ratio (p=0.0003) than EMs, while those homozygous for alleles conferring the PM phenotype had a higher mean escitalopram concentration than EMs (1.55-fold, p=0.008). There was a significant overall association between CYP2C19 genotypic category and escitalopram concentration (p=0.0003; p=0.0012 Bonferroni corrected). In conclusion, we have demonstrated an association between CYP2C19 genotype, including the CYP2C19*17 allele, and steady state escitalopram concentration. © 2012 British Association for Psychopharmacology. ; SCOPUS: ar.j ; info:eu-repo/semantics/published