Genotype influences antidepressant discontinuation in a pre-emptive pharmacogenetic testing population

We performed a retrospective cohort study to evaluate risk of antidepressant discontinuation as a function of CYP2C19 and CYP2D6 phenotype. Patients who participated in an elective genomic screening and had a diagnosis of depression or anxiety with a corresponding antidepressant were analyzed. This resulted in 5 808 patients comprising 8 571 antidepressant orders. Of the total antidepressant orders, 51% of the antidepressants ordered before pharmacogenetic testing were discontinued. A multivariate analysis - accounting for age, medication tenure, allergies, PHQ-9, malaise/fatigue, and medication indication - revealed a significant association between metabolizer status and discontinuation for CYP2C19 increased metabolizers (ultrarapid plus rapid metabolizers) compared to normal metabolizers (n = 4 635) (HR = 1.17 [1.08, 1.27], p < 0.001) for CPIC guideline-recommended medications (i.e., citalopram, escitalopram, sertraline). Stratifying risk by individual drug maintained significant associations for escitalopram (HR = 1.27 [1.1, 1.46], p < 0.05) and sertraline (HR = 1.15 [1.01, 1.31], p < 0.05). While the CYP2D6 decreased metabolizer group (intermediate plus poor metabolizers) did not reach statistical significance for guideline recommended medications (i.e., paroxetine, venlafaxine, vortioxetine), the individual effect for venlafaxine showed an increased risk of discontinuation (HR = 1.23 [1.01, 1.5], p < 0.05). These results suggest phenotypic variations may have variable impact on risk of discontinuation amongst different antidepressant medications, but for escitalopram, sertraline, and venlafaxine, the risk of discontinuation in particular phenotypes should be considered at the time of therapy initiation.

Authors

Institutions

Publication Details

Journal
The Pharmacogenomics Journal
Published
2026-05-21
DOI
https://doi.org/10.1038/s41397-026-00416-2
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genotype influences antidepressant discontinuation in a pre-emptive pharmacogenetic testing population

Jordan F. Baye, Natasha Petry, Max Weaver, Lindsay Hines et al.
The Pharmacogenomics Journal
Treatment of Major Depression
article

Genotype influences antidepressant discontinuation in a pre-emptive pharmacogenetic testing population

Jordan F. Baye, Natasha Petry, Max Weaver, Lindsay Hines, Halle Brady, April Schultz, Michael Reinke, Amanda Massmann
article en

Abstract

We performed a retrospective cohort study to evaluate risk of antidepressant discontinuation as a function of CYP2C19 and CYP2D6 phenotype. Patients who participated in an elective genomic screening and had a diagnosis of depression or anxiety with a corresponding antidepressant were analyzed. This resulted in 5 808 patients comprising 8 571 antidepressant orders. Of the total antidepressant orders, 51% of the antidepressants ordered before pharmacogenetic testing were discontinued. A multivariate analysis - accounting for age, medication tenure, allergies, PHQ-9, malaise/fatigue, and medication indication - revealed a significant association between metabolizer status and discontinuation for CYP2C19 increased metabolizers (ultrarapid plus rapid metabolizers) compared to normal metabolizers (n = 4 635) (HR = 1.17 [1.08, 1.27], p < 0.001) for CPIC guideline-recommended medications (i.e., citalopram, escitalopram, sertraline). Stratifying risk by individual drug maintained significant associations for escitalopram (HR = 1.27 [1.1, 1.46], p < 0.05) and sertraline (HR = 1.15 [1.01, 1.31], p < 0.05). While the CYP2D6 decreased metabolizer group (intermediate plus poor metabolizers) did not reach statistical significance for guideline recommended medications (i.e., paroxetine, venlafaxine, vortioxetine), the individual effect for venlafaxine showed an increased risk of discontinuation (HR = 1.23 [1.01, 1.5], p < 0.05). These results suggest phenotypic variations may have variable impact on risk of discontinuation amongst different antidepressant medications, but for escitalopram, sertraline, and venlafaxine, the risk of discontinuation in particular phenotypes should be considered at the time of therapy initiation.

The Pharmacogenomics JournalVol. 26(3)
Sanford Health (US), South Dakota State University (US), University of South Dakota (US), University of North Dakota (US), North Dakota State University (US)
No poverty
Openalex Percentile: Top 7%
Treatment of Major Depression
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.