The Pharmacogenomics JournalGenetic & Genomic MedicinePeer-reviewed journal article
Large-scale analysis demonstrates the influence of CYP2C19 genotype on specific SSRI side effects
Chris Q. EijsboutsiD, Yunxuan JiangiD, James R. AshenhurstiD, Julie M. GrankaiD, Stella W. AslibekyaniD, Robert K. Bell, Zayn Cochinwala, Sayantan DasiD, Kahsaia de Brito, Emily DelloRusso, Devika Dhamija, Payam DibaeiniaiD, Sarah L. ElsoniD, Nicholas ErikssoniD, Shirin T. Fuller, Chris GermaniD, Larry Hengl, Barry Hicks, David A. HindsiD, Michael Vaclav HolmesiD, M. Reza Jabalameli, Ethan M. JewettiD, Matt Kmiecik, Katelyn Kukar Bond, Alan Kwong, , Rebekah Ryanne WuiD
Abstract
The majority of individuals receiving treatment for major depressive disorder (MDD) do not achieve remission from the first medication they try, and over 80% subsequently discontinue pharmacotherapy or switch to a different medication. SSRI discontinuation due to side effects is common. We evaluated the effect of CYP2C19 genotype on SSRI response using self-reported data from 114,627 direct-to-consumer genetics research participants who were prescribed an SSRI primarily metabolized by CYP2C19 (citalopram, escitalopram, or sertraline). Among participants taking citalopram or escitalopram, slower metabolizers experienced side effects significantly more often than faster metabolizers (OR=1.04 per grade, from 0 for poor metabolizers to 5 for ultrarapid metabolizers, 95%CI=[1.02-1.06] and OR=1.05 per grade, 95%CI=[1.02-1.07]) and were more likely to discontinue treatment due to side effects (OR=1.05, 95%CI=[1.03-1.08], e.g. 29.7% of poor vs. 21.6% of ultrarapid metabolizers, and OR=1.07, 95%CI=[1.04-1.11], e.g. 25.7% vs. 20.2%). Slower metabolizers taking escitalopram were more likely to suffer from sleep problems and sexual problems than faster metabolizers. Slower metabolizers taking sertraline reported tremor more often than faster metabolizers. Overall, we find substantial differences in side effect risk between individuals with different CYP2C19 genotypes in a large sample, supporting the notion that individuals seeking treatment for MDD may benefit from preemptive pharmacogenetic testing and genotype-guided dosing recommendations to minimize side effects and reduce discontinuations.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 2
- FWCI
- 13.12
- Field percentile
- top 3%
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