ArticleThe pharmacogenomics journal2022
Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study.
Article in The pharmacogenomics journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Distribution of CYP2C19 polymorphism and predicted metabolizer phenotypes in the Indian population: A systematic review.Indian journal of pharmacology · 2026Pooled it
- Genome-wide meta-analyses of non-response to antidepressants provide insights into underlying molecular genetics and suggest potential pharmacotherapies.Molecular psychiatry · 2026Pooled it
- Metabolic activity of CYP2C19 and CYP2D6 on antidepressant response from 13 clinical studies using genotype imputation: a meta-analysis.Translational psychiatry · 2024Pooled it
- Pharmacogenetic, Clinical, Prescribing, and Demographic Predictors of Sertraline Pharmacokinetics.Pharmaceutics · 2026Article
- Large-scale analysis demonstrates the influence of CYP2C19 genotype on specific SSRI side effects.The pharmacogenomics journal · 2026Article
- CYP2C19 Genotype is Associated with Citalopram Treatment Outcomes in a Real-World Setting.Clinical pharmacology and therapeutics · 2026Article
- The non-linear and linear effects of CYP2C19 metaboliser status on DNA methylation: a methylome-wide association study.Clinical epigenetics · 2026Article
- From sedation to stimulation: anecdotal case reports of enhanced sexual arousal in men and women taking diphenhydramine hydrochloride.Sexual medicine · 2026Article
- Exploring the Effect of Genetic Testing on Personalised Treatment Plans for Depression.Actas espanolas de psiquiatria · 2026Article
- Pharmacogenetics of antidepressant response: a focused review on CYP2C19, CYP2D6, SLC6A4, and HTR2A polymorphisms.Frontiers in pharmacology · 2026Review
- Genetic influences on antidepressant side effects: a CYP2C19 gene variation and polygenic risk study in the Estonian Biobank.European journal of human genetics : EJHG · 2025Article
- Sociodemographic, clinical, and genetic factors associated with self-reported antidepressant response outcomes in the UK Biobank.Psychological medicine · 2025Article
- A Comprehensive Review of Schizophrenia and Antipsychotic Metabolism as a Predictor of Treatment Response.Cureus · 2024Review
- From genes to drugs:Frontiers in pharmacology · 2024Review
- Meta-analysis of CYP2C19 and CYP2D6 metabolic activity on antidepressant response from 13 clinical studies using genotype imputation.medRxiv : the preprint server for health sciences · 2023Article
- Effect of CYP2C19 Pharmacogenetic Testing on Predicting Citalopram and Escitalopram Tolerability and Efficacy: A Retrospective, Longitudinal Cohort Study.Biomedicines · 2023Article
- The Effects of CYP2C19 Genotype on Proxies of SSRI Antidepressant Response in the UK Biobank.Pharmaceuticals (Basel, Switzerland) · 2023Article
- The pharmacogenetics ofFrontiers in pharmacology · 2023Article
- Psychiatric mental health nurse practitioner student knowledge and perceptions of pharmacogenetic testing.Frontiers in genetics · 2023Article
- Development of a point-of-care genetic test for effective treatment of ischaemic stroke: an early model-based cost-effectiveness analysis.Wellcome open research · 2023Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVariation within the CYP2C19 gene has been linked to differential metabolism of selective serotonin reuptake inhibitors (SSRIs). Pharmacogenetic recommendations based on the effect of CYP2C19 variants have been made available and are used increasingly by clinical practitioners. Nonetheless, the underlying assumption linking differential metabolism to efficacy or adverse side effects remains understudied. Here, we aim to fill this gap by studying CYP2C19 polymorphisms and inferred metabolism and patient-reported antidepressant response in a sample of 9531 Australian adults who have taken SSRIs.
methodsMetaboliser status was inferred for participants based on CYP2C19 alleles. Primary analysis consisted of assessing differences in treatment efficacy and tolerability between normal (reference) and: ultrarapid, rapid, intermediate and poor metabolisers.
resultsAcross medications, poor metabolisers reported a higher efficacy, whereas rapid metabolisers reported higher tolerability. When stratified by drug, associations between metaboliser status and efficacy did not survive multiple testing correction. Intermediate metabolisers were at greater odds of reporting any side effect for sertraline and higher number of side effects across medications and for sertraline.
conclusionsThe effects between metaboliser status and treatment efficacy, tolerability and side effects were in the expected direction. Our power analysis suggests we would detect moderate to large effects, at least nominally. Reduced power may also be explained by heterogeneity in antidepressant dosages or concomitant medications, which we did not measure. The fact that we identify slower metabolisers to be at higher risk of side effects even without adjusting for clinical titration, and the nominally significant associations consistent with the expected metabolic effects provide new evidence for the link between CYP2C19 metabolism and SSRI response. Nonetheless, longitudinal and interventional designs such as randomized clinical trials that stratify by metaboliser status are necessary to establish the effects of CYP2C19 metabolism on SSRI treatment efficacy or adverse effects.
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Registered trials
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