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European Journal of Psychiatry Heterogeneity in the association between CYP2D6 genotype and antipsychotic-induc...
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Vol. 40. Issue 1. (In progress)
(January - March 2026)
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Heterogeneity in the association between CYP2D6 genotype and antipsychotic-induced extrapyramidal symptoms: A systematic review

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Antonina Lucaa,
Corresponding author
antonina.luca@unikore.it

Corresponding author.
, Maria Lucab, Paolo Olgiatia,c, Alessandro Serrettia,c
a Department of Medicine and Surgery, Kore University of Enna, Italy
b Centre for Addiction, Adrano-Bronte, Italy
c Oasi Research Institute-IRCCS, Troina, Italy
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Table 1. Summary of the studies included in the review.
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Table 2. Quality of the studies included in the review according to the Joanna Briggs Institute JBI Critical Appraisal Tools for cross-sectional studies.
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Table 3. Quality of the studies included in the review according to the Joanna Briggs Institute JBI Critical Appraisal Tools for cohort and Randomized Controlled Trials.
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Abstract
Introduction

Cytochrome‑P450 2D6 (CYP2D6) activity modulates the biotransformation of many antipsychotics and neuroactive endobiotics. Functional polymorphisms yielding poor (PM), intermediate (IM), normal (NM) or ultrarapid (UM) metabolic phenotypes could therefore influence vulnerability to extrapyramidal symptoms (EPS). Aim of the present review was to critically summarize the evidence linking CYP2D6 genotype with antipsychotic‑induced EPS.

Methods

A systematic search of PubMed, MEDLINE and EBSCO (1 January 1997 – 28 April 2025) identified studies that: (i) examined CYP2D6 genotype or phenotype in relation to antipsychotic exposure, (ii) quantitatively assessed EPS, and (iii) enrolled ≥ 10 participants.

Results

Eighteen studies (7 prospective cohorts, 10 cross‑sectional studies, 1 randomized controlled trial; total n= 2037 participants) met inclusion criteria. Typical antipsychotics—particularly haloperidol and zuclopenthixol—dominated the exposure profile (64 % of participants). Eleven studies reported a genotype‑EPS association, consistently showing greater EPS prevalence or severity in PM and IM carriers. Reported odds ratios for EPS across included studies ranged ∼2–5 for PM/IM vs EM/UM. Risperidone and haloperidol were the antipsychotics most frequently associated with EPS. Null findings were primarily reported by studies devoid of PM genotypes and enrolling adolescent cohorts receiving second‑generation antipsychotics.

Conclusion

Some studies summarized in the present review supported the role of CYP2D6 genotype in the occurrence of EPS in patients treated with antipsychotics, particularly with high-potency D₂ antagonists. Prospective, genotype‑stratified trials that incorporate concomitant inhibitors/inducers, polygenic scores and pharmacodynamic modifiers are still required before cost‑effective implementation algorithms can be finalized.

Keywords:
CYP2D6
Antipsychotics
Drug induced parkinsonism
Extrapyramidal side effects
Pharmacogenetics
Full Text
Introduction

Extrapyramidal side effects (EPS) are among the most frequent iatrogenic movement disorders and the second most common cause of parkinsonism after idiopathic Parkinson's disease (PD).1 Among users of antipsychotics, the prevalence of any extrapyramidal symptoms (EPS) has been reported to exceed 35%, including 20% for antipsychotic-induced parkinsonism, 11% for akathisia, and 7% for tardive dyskinesia (TD).2 Although EPS may be related to a variety of different compounds, including antiemetics, cholinomimetics, antidepressants, and antiepileptic drugs, they have been consistently described as a possible side effect of antipsychotics.3 The antipsychotics more frequently related EPS are the first‑generation antipsychotics, including phenothiazines, butyrophenones, benzamides, due to their strong postsynaptic dopamine receptors antagonism.4,5

Given the reported substantial negative impact of EPS on functioning and quality of life,6 identifying and characterizing risk factors that predispose individuals to EPS is essential to optimise treatment safety and outcomes. However, both real‑world experience and previous studies indicate that predicting EPS remains challenging. Indeed, many patients may tolerate high doses of antipsychotics without developing EPS, whereas others experience severe EPS even at low doses, thus supporting the existence of a possible vulnerability.7 Age, female sex and genetic susceptibility are among the well-recognized risk factors associated with EPS.

Cytochrome P450 2D6 (CYP2D6) is a key drug-metabolizing enzyme, contributing to the biotransformation of approximately 20–25% of clinically used drugs, including haloperidol, risperidone, zuclopenthixol and perphenazine, whereas others rely predominantly on alternative enzymes such as CYP1A2 (e.g., olanzapine, clozapine) or CYP3A4 (e.g., quetiapine, aripiprazole), underscoring why the clinical impact of CYP2D6 variation may differ across agents.8

The CYP2D6 gene is highly polymorphic; to date, ∼170 alleles have been catalogued, leading to functional variability from loss of function to increased activity and to distinct metabolizer phenotypes—poor (PM), intermediate (IM), normal/extensive (NM/EM), and ultrarapid (UM). Non-functional alleles (e.g., *3, *4, *5, *6) result in little to no CYP2D6 activity and are typically associated with a PM phenotype. Reduced-function alleles (e.g., *10, *17, *41) decrease enzyme efficiency and, when present in combination with a normal or defective allele, often confer an IM phenotype. Individuals carrying two fully functional alleles (e.g., *1/*1, *1/*2) are classified as NN/EM. Conversely, duplication or multiplication of functional alleles (e.g., *1xN, *2xN) increases CYP2D6 expression and may lead to an UM phenotype.8,9

In this context, CYP2D6 has been investigated as a genetic susceptibility factor for antipsychotic adverse effects.10

People with IM or PM CYP2D6 frequently present higher drug plasma level, thus increasing not only the drug efficacy but also the risk of side effects, treatment discontinuation, and non-adherence.11–13 For this reason, CYP2D6 pharmacogenetics should be considered in the design and implementation of tailored drug therapy to ensure drug efficacy and safety.

However, both regulatory and scientific consortia and working groups still report conflicting indications. Indeed, both the U.S. Food and Drug Administration and the European Medicines Agency include only brief, non-binding references to CYP genotyping in their product labeling for antipsychotic–CYP2D6 interactions. In line with this, the PharmGKB database currently reports a low and inconsistent level of evidence for such interactions.14 However, the Dutch Pharmacogenetics Working Group (DPWG) recently recommended the normal dose reduction of several antipsychotics (i.e. aripiprazole, brexpiprazole, haloperidol, pimozide, risperidone and zuclopenthixol) for CYP2D6-predicted PMs and the Clinical Pharmacogenetics Implementation Consortium is still finalizing its guideline on CYP2D6 guided dosing for antipsychotics.15,16 Therefore, as a result, pharmacogenetic testing is rarely incorporated into everyday psychiatric prescribing, and clinicians continue to base dose titration primarily on clinical response or therapeutic drug monitoring rather than genotype data.

Recent systematic reviews explored the association between CYP2D6 genotype and adverse side effects in order to evaluate the potentially beneficial role of pharmacogenetic testing in patients treated with antipsychotics in influencing clinical or economic outcomes. However, these reviews considered side effects as a whole, without focusing on EPS or were limited by the evaluation of only some second-generation antipsychotics such as risperidone, aripiprazole and quetiapine without including other antipsychotics agents.17–20

The aim of the present review was to summarize literature data concerning the association between CYP2D6 genotype and EPS in people treated with antipsychotics and to better understand whether implementing CYP2D6 genotyping in clinical setting may be useful to optimize therapy through personalized approaches.

MethodsSearch strategy

This review was structured following the PRISMA checklist items. Studies published from 1st January 1997 to 28th April 2025 were considered. The following database were interviewed: PubMed, Medline via Ovid and EBSCO (PsycINFO and CINAHL) and the following terms searched: “CYP2D6” OR "cytochrome P450 2D6" OR "CYP2D6 polymorphism" OR "CYP2D6 genotype" OR "CYP2D6 metabolism" AND "extrapyramidal symptoms" OR "extrapyramidal side effects" OR "extrapyramidal disorders" OR parkinsonism OR "drug-induced parkinsonism" OR "parkinsonian symptoms" OR "extrapyramidal motor symptoms" OR "parkinsonism secondary to antipsychotics" OR "parkinsonism secondary to antipsychotics" OR "antipsychotic agents" OR "neuroleptics" OR "antipsychotic-induced side effects". Both narrative and systematic reviews were included to ensure comprehensive coverage of the evidence.

Eligibility criteria

Inclusion criteria: (1) human studies involving antipsychotics-exposed participants with psychiatric disorders; (2) CYP2D6 genotyping or phenotyping; (3) quantitative EPS assessment with validated instruments (4) sample size ≥10 participants.

Exclusion criteria: (1) healthy volunteers study; (2) cohorts with movement disorders unrelated to antipsychotics (3) combined treatment with antidepressants metabolized by CYP2D6 unless outcome could be disaggregated; (4) non-English articles.

Study selection and data extraction

The number of articles screened after removal of duplicates was recorded. Papers were selected based on their titles and abstracts. The full text of the items matching the field of interest of the review were read by two reviewers independently (A.L. and A.S.). For each included study, the reported association between CYP2D6 and EPS was extracted and summarized according to the interpretation presented in the original paper. In doing so, we considered the statistical significance of the reported results, the direction of the association, and the analytical context (e.g., covariates included, subgroup analyses, and specific EPS outcomes assessed). The overall risk of bias for each study was determined using the relevant Joanna Briggs Institute (JBI) critical appraisal checklists for cross-sectional studies, cohort studies, and randomized controlled trials.21 In accordance with JBI guidance, no summary score was calculated; instead, predefined qualitative criteria were applied. A study was rated as having low risk of bias when all or nearly all items were marked as "Yes", with no critical domains rated as "No". Moderate risk was assigned when some items were marked as "No" or "Unclear", provided that critical domains were not affected. High risk of bias was assigned when one or more critical items were rated as "No". For cohort studies, critical domains were considered to include the measurement of exposure, absence of outcome at baseline, control for confounding, and completeness of follow-up. In cross-sectional studies, the definition of the population, the validity and reliability of exposure and outcome measurements, and control for confounding were considered critical. For randomized controlled trials, critical items included randomization, allocation concealment, blinding of participants and personnel, and analysis according to the intention-to-treat principle. CYP2D6 phenotypes were harmonized to PM+IM vs EM+UM and summarized study-level odds ratios descriptively.22,23 The inter-rater agreement was assessed using Cohen’s kappa statistic.

ResultsLiterature search

A total of 329 records were identified through database research. A preliminary screening excluded 13 duplicate records, 278 articles based on title review, and 18 non-original articles (reviews, case-reports, case series). Abstract screening was conducted on 20 articles, resulting in the exclusion of 291 papers. Full-text analysis was performed on 19 studies, with 1 excluded for not meeting inclusion criteria. Among the identified studies, after full-text analysis, 18 studies fulfilled the inclusion criteria and were included in the final review (Fig. 1). Inter‑rater agreement for inclusion decisions was complete (κ = 1.0).

Fig. 1.

Flowchart of the selection process for the studies included in the review using PRISMA guidelines.

Study characteristics

The 18 studies encompassed n=2037 participants. Seven studies had a prospective design,24–30 10 studies had a cross-sectional design,31–40 and one study was a randomized controlled trial (RCT).41 All but one study enrolled participants with schizophrenia or schizophrenia spectrum disorders.30 Only the RCT enrolled adolescents with first-episode psychosis.41 Eleven out of the 18 included studies reported an association between EPS and CYP2D6 genotype. The role of CYP2D6 on TD was assessed by 5 studies24,27,35–37 of which only one36 explored sex-related differences (Table 1). The overall risk of bias of the included studies according to the JBI checklist is shown in Tables 2 and 3.

Table 1.

Summary of the studies included in the review.

Study  Design  Treatment  Alleles genotyped  Phenocopyingcontrol  Subjects  Findings 
Andreassen et al 199724  Prospective  Thioridazine, sulpiride, risperidone, fluphenazine decanoate, flupenthixol decanoate,haloperidol decanoate  *1,*3, *4, *5, *6, *7  Not reported  100 participants with schizophrenia  PM genotype was more frequent but not significantlyamong TD and parkinsonism (OR 3.92, 95 % CI 0.67–27.10,p= 0.076). 
Ohmori et al 199937  Cross-sectional  Haloperidol equivalent dosage reported  *2 (primarily), *10 (in regression model)  Not reported  99 participants with schizophrenia  No association between CYP2D6*2 and TD.No PM participants. 
Scordo et al 200039  Cross-sectional  Haloperidol  *3,*4,*5,*6  Not reported  119 participants with schizophrenia  EPS and acute dystonic reaction were morefrequent among PM 
Lam et al 200136  Cross-sectional  Haloperidol  *4,*10  Implicitly controlled  70 participants with schizophrenia  Females with TD were more frequently PM (n=13, 81%)than females without TD (n=5, 31%, p=0.004). 
Jaanson et al 200227  Prospective  Zuclopenthixol decanoate  *3,*4  Not reported  52 participants with schizophrenia  PM and IM had more frequently parkinsonism(OR 2.3, 95% CI 0.7–6.9) and TD 1.7 (95% CI 0.5–4.9). 
Brockmöller et al 200225  Prospective  Haloperidol  *1,*15,*17+ duplication of *1 and *2  Explicitly controlled  175 participants with psychosis  EPS were significantly more frequent in PM (80%)vs other genotypes (20%, p= 0.02). 
Inada et al 200333  Cross-sectional  Antipsychotics  *2,*3,*4,*10, *12  Not reported  320 participants with schizophrenia  CYP2D6*2 polymorphism was significantly morefrequent in EPS (30.3%) vs no-EPS (14.6 %; p=0.018). 
Kakihara et al 200528  Prospective  Risperidone  *5,*10  Implicitly controlled  136 participants with schizophrenia  No association between CYP2D6 genotypes and EPSwas found. 
Plesničar et al 200638  Cross-sectional  Haloperidol, fluphenazine, zuclopenthixol or risperidone  *2, *3, *4, *5, *6, *8, *9, *10, *11, *12, *14, *15 + duplication analysis  Explicitly controlled  131 participants with SSD  No EPS difference according to CYP2D6 genotype. 
Crescenti et al 200826  Prospective  Amisulpride, long-acting injectable risperidone, risperidone, haloperidol, clozapine, olanzapine, zuclopenthixol, ziprasidone, quetiapine, trifluoperazine.  *3,*4,*5,*6  Not reported  267 participants with schizophrenia related disorders  EPS was associated with the homozygous genotypefor the CYP2D6*4 polymorphism(OR 4.1, 95% CI 1.0–16.0, p= 0.01) and the heterozygousgenotype for the CYP2D6*6 polymorphism(OR 5.4, 95% CI 1.1–18.0, p= 0.003).A trend towards an association between EPS and PM statuswas observed (OR 2.9; P = 0.07). 
Koola et al 201435  Cross-sectional  Haloperidol decanoate, flupentixol decanoate, fluphenazine decanoate, thioridazine, chlorpromazine, zuclopenthixol decanoate, pimozide, fluphenazine, sulpiride  *3, *4, *5, *41 + duplication  Not reported  70 participants with schizophrenia  Increased CYP2D6 ability to metabolize was associatedwith TD (OR 4.2, 95% CI 1.1–15.7, p=0.032). 
Dodgen et al 201532  Cross-sectional  Risperidone  *4, *5, *6B, *10B, *17, *29, *41 + novel allele  Not controlled  24 participants with psychosis and ADR.  No association between CYP2D6 genotypes and ADRwas found. 
Sychev et al 201640  Cross-sectional  Haloperidol  *4  Explicitly controlled  79 participants with schizophrenia  The CYP2D6 1846G>G (EM) frequency was higher in theEPS- group (81.5% vs. 44.4%, p = 0.01).The CYP2D6 1846A>A (PM) frequency in the EPS+ groupwas significantly higher than in the EPS− group(29.6% vs. 11.1%, p = 0.03). 
Ito et al 201834  Cross-sectional  Risperidone  *10,*14,*5  Not controlled  22 participants with schizophrenia  The DIEPSS score in the IM was significantly higher (5.0)than that in the EM (0.0, p < 0.001). No PM participants. 
Rudå et al 202141  RCT  Aripiprazole, quetiapine  *3, *4, *5, *6 + duplication  Not controlled  113 adolescents with first-episode psychosis  No association between CYP2D6 genotype groups andBARS or SAS score was found 
Kibitov et al 202329  Prospective  Haloperidol  *3, *4, *5, *6, *9, *10, *41  Not controlled  57 SSD  No association between EM and IM and EPS. No PMin the sample. 
Parkhomenko et al 202330  Prospective  Haloperidol  *4  Explicitly controlled  100 Male with alcohol hallucinosis  EPS were more severe in CYP2D6 1846G > Apolymorphism, IM (SAS score 14.5)then CYP2D6 1846 G>G polymorphism,EM (SAS score 11.0, p<0.001). 
Bondrescu et al 202431  Cross-sectional  Risperidone  *4  Explicitly controlled  103 participants with SSD  Tremor and stiffness were significantly more frequentin participants with IM/PM genotype (73%)than EM (23%; p = 0.002). 

Legend of acronyms: ADR= Adverse-Drug Reactions; BARS = Barnes Akathisia Rating Scale; DIEPSS = Drug-Induced Extrapyramidal Symptoms Scale; EPS = extrapyramidal symptoms; EM/IM/PM/UM = Extensive/intermediate/poor/ultrarapid metabolizer; GA/GG = genotypes; RCT = randomized controlled trial; SAS = Simpson-Angus Scale; SSD = schizophrenia spectrum disorders; TD = tardive dyskinesia. OR: Odd ratio; CI: confidence intervals. Phenocopying control, conversion of a normal metabolizer into a PM due to strong CYP2D6-inhibiting drugs (e.g., paroxetine or fluoxetine): Explicitly controlled= CYP2D6-inhibiting drugs were excluded or adjusted for; Implicitly controlled: Only non-inhibiting drugs allowed; Not controlled: Phenocopying control was absent.

Table 2.

Quality of the studies included in the review according to the Joanna Briggs Institute JBI Critical Appraisal Tools for cross-sectional studies.

Cross-sectional study  Q1  Q2  Q3  Q4  Q5  Q6  Q7  Q8  Overall Risk of bias 
Ohmori et al 199937  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Low 
Scordo et al 200039  Yes  Yes  Yes  Yes  No  No  Yes  No  High 
Lam et al 200136  Yes  Yes  Yes  Yes  No  No  Yes  Uncl.  High 
Inada et al 200333  Yes  Yes  Yes  Yes  No  No  Yes  Yes  Moderate 
Plesničar et al 200638  Yes  Yes  Yes  Yes  No  No  Yes  Yes  Moderate 
Koola et al 201435  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Low 
Dodgen et al 201532  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Low 
Sychev et al 201640  Yes  Yes  Yes  Yes  No  No  No  Yes  Moderate 
Ito et al 201834  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Low 
Bondrescu et al 202431  Yes  Yes  Yes  Yes  No  No  Yes  Yes  Moderate 

Legend: Q1: Were the criteria for inclusion in the sample clearly defined? Q2: Were the study subjects and the setting described in details? Q3: Was the exposure measured in a valid and reliable way? Q4: Were objective, standard criteria used for measurement of the condition? Q5: Were confounding factors identified? Q6: Were strategies to deal with confounding factors stated? Q7: Were the outcomes measured in a valid and reliable way? Q8: Was appropriate statistical analysis used? Abbreviations: Uncl= Unclear.

Table 3.

Quality of the studies included in the review according to the Joanna Briggs Institute JBI Critical Appraisal Tools for cohort and Randomized Controlled Trials.

Cohort studies  Q1  Q2  Q3  Q4  Q5  Q6  Q7  Q8  Q9  Q10  Q11  Q12  Q13  Overall Risk of bias 
Andreassen et al 199724  Yes  Yes  Yes  No  No  Yes  Yes  No  Uncl.  NA.  No  High 
Jaanson et al 200227  Yes  Yes  Yes  Yes  Yes  Uncl.  Yes  No  Yes  NA  Yes  Moderate 
Brockmöller et al 200225  Yes  Yes  Yes  Yes  Yes  Uncl.  Yes  No  Uncl.  NA  Yes  Moderate 
Kakihara et al 200526  Yes  Yes  Yes  No  No  Uncl.  Yes  No  Uncl.  NA  Yes  High 
Crescenti et al 200826  Yes  Yes  Yes  Yes  Yes  Yes  Yes  No  Uncl.  NA  Yes  Moderate 
Kibitov et al 202329  Yes  Yes  Yes  Yes  Yes  Yes  Yes  No  No  No  Yes  Moderate 
Parkhomenko et al 202330  Yes  Yes  Yes  No  No  Yes  Yes  No  Yes  Na  Yes  Moderate 
Randomized controlled trial                             
Rudå et al 202141  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Yes  Uncl.  Yes  Yes  Yes  Low 

Legend: Abbreviations: Uncl= Unclear; NA= not applicable. Cohort studies: Q1: Were the two groups similar and recruited from the same population? Q2: Were the exposures measured similarly to assign people to both exposed and unexposed groups? Q3: Was the exposure measured in a valid and reliable way? Q4: Were confounding factors identified? Q5: Were strategies to deal with confounding factors stated? Q6: Were the groups/participants free of the outcome at the start of the study (or at the moment of exposure)? Q7: Were the outcomes measured in a valid and reliable way? Q8: Was the follow up time reported and sufficient to be long enough for outcomes to occur? Q9: Was follow up complete, and if not, were the reasons to loss to follow up described and explored? Q10: Were strategies to address incomplete follow up utilized? Q11: Was appropriate statistical analysis used? Randomized controlled trial: Q1: Was true randomization used for assignment of participants to treatment groups? Q2: Was allocation to treatment groups concealed? Q3: Were treatment groups similar at the baseline? Q4: Were participants blind to treatment assignment? Q5: Were those delivering the treatment blind to treatment assignment? Q6: Were treatment groups treated identically other than the intervention of interest? Q7: Were outcome assessors blind to treatment assignment? Q8: Were outcomes measured in the same way for treatment groups? Q9: Were outcomes measured in a reliable way? Q10: Was follow up complete and if not, were differences between groups in terms of their follow up adequately described and analyzed? Q11: Were participants analyzed in the groups to which they were randomized? Q12: Was appropriate statistical analysis used? Q13: Was the trial design appropriate and any deviations from the standard RCT design (individual randomization, parallel groups) accounted for in the conduct and analysis of the trial?

Association between CYP2D6 and EPS

Eleven studies supported the presence of an association, although not always statistically significant, between CYP2D6 and EPS.24–27,30,31,33,34,36,39,40 Qualitatively summarized, studies comparing PM/IM with EM/UM reported odds ratios for EPS ranging approximately from 2 to 5, consistent in direction across studies, but with heterogeneity precluding meta-analysis. In four haloperidol cohorts, 40–80% of PM developed clinically relevant EPS compared with 12–30 % of EM.25,30,39,40

Studies predominantly involving second-generation antipsychotics (risperidone)

Studies on risperidone have shown a higher risk of parkinsonism among individuals with the PM genotype24,31 although this association did not always reach statistical significance.31 Findings regarding TD were equivocal: two prospective studies suggested a modest risk elevation in PM.24,27,35

Discussion

EPS are common and sometimes serious side effects of many medications used in psychiatric settings including antipsychotics, antidepressants, mood stabilizers and benzodiazepines.17,42 However, the strongest association between EPS and drugs has been reported for antipsychotics, especially first-generation antipsychotics,43,44 being more recent ones better tolerated.45–48 In the present review, eleven studies.24–27,30,31,33,34,36,39,40 supported the hypothesis that reduced CYP2D6 function (PM or IM status, or carriage of loss‑of‑function alleles such as *4 allele, *6 allele and 1846G>A genotype) predisposes patients to EPS, although sometimes with only a trend of association. In particular, in the study performed by Parkhomenko et al.30 EPS were not significantly more frequent in patients with PM genotypes than in those with other genotypes. However, it is worth noting that only six out of 131 patients enrolled in the study were classified as PM. Of these six, one had TD and one had parkinsonism. Therefore, the low representation of PM individuals in the sample may have resulted in a lack of statistical significance.

Moreover, it has been reported that PM patients treated with haloperidol, risperidone or zuclopenthixol consistently showed higher dose‑corrected plasma concentrations of drugs and a significantly greater scores at the motor scales assessing EPS (e.g., Simpson-Angus Scale-SAS; Barnes Akathisia Rating Scale-BARS; Drug-Induced Extrapyramidal Symptoms Scale- DIEPS),25,30,40 thus suggesting a drug dose‑reduction recommendation for the PM subgroup. Interestingly, despite the most studies focused on first generation antipsychotics, two risperidone‑based studies31,34 confirmed that IM and PM patients had 2 to 3‑fold higher odds of tremor or rigidity and markedly greater total DIEPSS scores than EM, even though no difference in antipsychotic efficacy was reported. Collectively, these studies supported the usefulness of starting‑dose reductions or closer monitoring in phenotypes with reduced CYP2D6 activity, as probably will be proposed by the Clinical Pharmacogenetics Implementation Consortium.16

On the contrary, other studies failed to demonstrate a relationship between CYP2D6 genotype and EPS.24,27–29,32,35,37,38,41 However, it should be noted that in the study performed by Ohmori and coll.37 and Kibitov and coll.,29 the lack of participants with a PM genotype could limit the comparison with the other studies and the generalizability of the results. Furthermore, in the RCT by Rudå and coll.,41 participants were treated with second-generation antipsychotics, which are less frequently associated with EPS,48,49 and the enrolled subjects were adolescents, who are usually less "at risk" of EPS compared to older subjects.50 Indeed, adolescents typically have lower cumulative antipsychotic exposure due to shorter illness duration, reducing the opportunity for pharmacogenetic differences in metabolism to manifest in clinical outcomes such as EPS. Additionally, greater striatal “dopaminergic reserve” and synaptic plasticity in youth may counteract receptor blockade–related motor side effects, thereby masking metabolic vulnerability that becomes more evident in chronically medicated adults.51

TD probably deserves a separate consideration due to particularly conflicting data. Indeed, while Andreassen and coll.24 and Jaanson and coll.27 reported a trend of association between CYP2D6 genotype and TD, Koola and coll.35 reported an about 4-fold higher risk of TD in EM and UM genotypes, raising the hypothesis that toxic active metabolites (e.g., haloperidol pyridinium) formed more readily in rapid metabolizers might drive late‑onset TD. Interestingly, the study performed by Lam and coll.36 was the only study assessing the role of sex in TD occurrence, reporting an association between PM genotype and TD only in females. This data is of interest considering that previous studies reported a higher vulnerability of females to TD 51,52 but only Lam and coll.36 performed a sex-stratified analysis.

Some methodological differences can explain the still conflicting data about the association between CYP2D6 genotype and EPS. First, drug selection plays a pivotal role in this association: some compounds—haloperidol in particular—are high‑dependency substrates, with more than 50% of their clearance mediated by CYP2D6, whereas others (e.g., risperidone, aripiprazole, quetiapine) are extensively metabolized by additional enzymes such as CYP3A4, which blunts the impact of CYP2D6 polymorphism.15,25,53

Moreover, some studies did not stratify analyses considering the drug class and instead evaluated pooled samples with mixed first-generation antipsychotics/second-generation antipsychotics.24,26,35,38 Such methodological approach did not allow to evaluate the pharmacogenetic effects to specific drug classes. Thus, while the available literature suggests a more robust association for first-generation antipsychotics, the contribution of CYP2D6 variability to EPS risk under second-generation antipsychotics (i.e., risperidone) remains plausible but methodologically underexplored.

Furthermore, some included studies did not use comprehensive CYP2D6 genotyping and tested only a few variants. This limited coverage may have led to misclassification of metabolizer status and could bias the observed associations. Moreover, the assessed outcome is highly heterogeneous. Indeed, EPS can be considered an umbrella term encompassing a plethora of different movement disorders, including parkinsonism, akathisia, TD, tremor, and dystonia, characterized by distinct epidemiology, pathophysiology, and onset.44 In addition, in the included studies, outcome measures were different and difficult to compare (SAS, BARS, DIEPSS).

In addition, some studies were likely underpowered due to small sample size32,34 or did not include PM participants.34,35 Furthermore, ethnic differences among study participants may play a role in modulating the association between CYP2D6 and EPS. 54 Moreover, a further methodological consideration emerging from our review concerns phenocopying, namely the conversion of EM into functionally PM due to exposure to potent CYP2D6 inhibitors (e.g., paroxetine or fluoxetine). Importantly, only a minority of studies explicitly controlled for this source of confounding,25,30,31,38,40 while others did so implicitly or did not consider it at all. The lack of phenocopying control may partially explain inconsistent or null associations reported in the literature. Indeed, the apparent lack of association between CYP2D6 genotype and EPS occurrence may reflect unrecognized pharmacokinetic suppression rather than a true absence of biological effect.

On this ground, the uncertainty of the EMA and the FDA about the need to implement CYP2D6 genotype assessment in clinical practice and to modulate antipsychotic dosage according to genetic profile is probably due to the high heterogeneity between studies in terms of assessment tools and drugs studied.

Moreover, several issues remain to be investigated. In particular, the role of family history, age, sex, or other risk factors for PD in modulating this association needs to be elucidated. Indeed, only a few studies identified and accounted for age and sex, and none have accounted for PD family history.25,27,29,32,34,35,37,41 Yet, although neuroleptic withdrawal usually results in recovery of EPS within a few months, it has been reported that in some patients EPS persists or worsens over the course of years, suggesting the possibility of concomitant nigrostriatal degeneration similar to that reported in PD.55 Indeed, it should be underlined that CYP2D6 polymorphism has been previously associated not only to drug-induced parkinsonism but also to idiopathic PD.56–58 In fact, beyond to the contribution of CYP2D6 to the metabolism of psychotropic drugs (i.e., antidepressants, antipsychotics), certain CYPs are involved in the biotransformation of neuroactive endobiotics, which may influence physiological processes and explain the reported association between CYP2D6 polymorphisms and disease susceptibility (e.g., personality disorders, cognitive decline, and behavioral disorders).59,60

Another underexplored aspect is the role of drugs previously associated with EPS and metabolized by CYP2D6,61 which, in addition to antipsychotics, may mediate the association between CYP2D6 genotype and EPS. In fact, although previous studies have supported the association between EPS and antidepressant treatment,62 to date only case reports or underpowered studies are available to evaluate the possible association between antipsychotics-antidepressants-CYP2D6 and EPS.

The present review has some limits. The exclusion of grey literature and non-English papers may have introduced publication bias by omitting relevant but unpublished or non-peer-reviewed studies. Moreover, the methodological heterogeneity in terms of drugs explored, instrument tools for assessing EPS and type of movement disorder evaluated, did not allow us to perform a meta-analysis and a pooled effect estimation.

However, to the best of our knowledge, this is the first review systematically assessing the association between CYP2D6 genotype and EPS in subjects treated with both first- and second-generation antipsychotics.

In conclusion, according to our review, although the majority of studies supported the role of CYP2D6 genotype in the occurrence of EPS in patients treated with antipsychotics, this relationship still need to be clarified. Indeed, although our review is consistent with current DPWG/CPIC guidance in supporting more cautious dosing or closer monitoring in PM receiving CYP2D6-dependent antipsychotics, future studies are needed to refine drug-specific adjustment thresholds. A genotype-guided RCT should compare CYP2D6-informed prescribing (e.g., dose or treatment adjustments for PM/IM and UM) with usual care for specific antipsychotics. Primary outcomes should be incident EPS and time-to-onset; secondary outcomes should include efficacy, treatment discontinuation, and quality of life, with concurrent therapeutic drug monitoring. Prospective cohort studies are also warranted to relate plasma concentrations to EPS across CYP2D6 phenotypes and to define concentration–toxicity thresholds. Across study designs, investigators should use comprehensive CYP2D6 genotyping (including copy-number variation), perform drug-specific analyses, and adjust for key confounders—notably co-prescribed CYP2D6 inhibitors (e.g., paroxetine, fluoxetine, bupropion), dose, age, and comorbidity.

Glossary

  • BARS = Barnes Akathisia Rating Scale

  • CI= Confidence intervals

  • CYP2D6= Cytochrome-P450 2D6

  • DIEPSS = Drug-Induced Extrapyramidal Symptoms Scale

  • EM= Extensive metabolizer

  • EMA= European Medicines Agency

  • EPS = Extrapyramidal symptoms

  • FDA= Food and Drugs Administration

  • GA/GG = Genotypes

  • IM= Intermediate metabolizer

  • NM= Normal metabolizer

  • NOS= Newcastle‐Ottawa Scale

  • PD= Parkinson's disease

  • PM= Poor metabolizer

  • PRISMA= Preferred Reporting Items for Systematic Reviews and Meta-Analyses

  • RCT = Randomized controlled trial

  • SAS = Simpson-Angus Scale

  • SSD = Schizophrenia spectrum disorders

  • TD = Tardive dyskinesia. OR: Odd ratio;

  • UM= Ultrarapid metabolizer

Ethical considerations

Not applicable.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of competing interest

Nothing to declare.

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