Evidence map›Paper›PMID 42168153›Full record

ArticleThe pharmacogenomics journal2026

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

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

Abstract read
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Article in The pharmacogenomics journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jordan F BayeDepartment of Pharmacy Practice, South Dakota State University, College of Pharmacy & Allied Health Professions, Brookings, SD, USA. jordan.baye@sdstate.edu.ORCID 0000-0002-4849-5415
Natasha J PetrySanford Imagenetics, Sioux Falls, SD, USA.ORCID 0000-0001-5089-9286
Lindsay HinesSanford Imagenetics, Sioux Falls, SD, USA.ORCID 0000-0003-0673-7866
Max WeaverSanford Imagenetics, Sioux Falls, SD, USA.
Michael ReinkeDepartment of Psychiatry and Behavorial Science, University of North Dakota, Grand Forks, ND, USA.
Halle BradySanford Imagenetics, Sioux Falls, SD, USA.ORCID 0009-0005-1586-2230
Amanda MassmannSanford Imagenetics, Sioux Falls, SD, USA.
April SchultzSanford Imagenetics, Sioux Falls, SD, USA.ORCID 0000-0003-1249-3685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antidepressive AgentsCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6DepressionMedication AdherencePharmacogenomic TestingAdultAnxietyEscitalopramFemaleGenotypeHumansMaleMiddle AgedRetrospective StudiesAntidepressive AgentsCYP2C19 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6Escitalopram

Identifiers

PMID42168153
PMCPMC13193940

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.