Pharmacogenetic TestingOffiGeneNCT06210321
Pharmacogenetic Testing at Community Pharmacy
A study testing Prescription of escitalopram using pharmacogenetic testing in people with Pharmacogenetic Testing, run by Chantal Csajka.
Trial summary
The purpose of this study is to assess the clinical impact of reducing treatment failure rates after using genetic information targeting CYP2C19 in validating escitalopram prescription. 5 pharmacies in the canton of Vaud (Lausanne, Switzerland) will participate in the study. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Pharmacogenetic Testing
- What is being tested?
- Prescription of escitalopram using pharmacogenetic testing
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 270 participants
- Where
- No sites listed yet
- Study dates
- 15 Aug 2025to 14 Aug 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Must consent to participate in the study,
- Must sign consent,
- Must be able to follow and understand the study procedures,
- Initiation of escitalopram treatment for unipolar depression with or without anxiety
Who cannot join
- Other condition than depression (such as panic disorder)
- Escitalopram treatment already received
- Not able to consent to participate in the study.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Randomised Controlled Study of the Efficacy and Acceptability of a Pharmacogenetic Test in the Management of Patients Treated With Escitalopram.
The purpose of this study is to assess the clinical impact of reducing treatment failure rates after using genetic information targeting CYP2C19 in validating escitalopram prescription. 5 pharmacies in the canton of Vaud (Lausanne, Switzerland) will participate in the study.
The study will also explored the ability to perform the test in community pharmacy, physician and pharmacist approval of prescription changes, patient acceptance of the test and dose changes, the economic impact of the test, the association between genetic polymorphisms and therapeutic failures and the degree of satisfaction, barriers and facilitators by stakeholders.
Read the detailed description
Response to medication depends on many clinical, demographic, environmental, and genetic factors. Non-genetic factors that are often considered when prescribing treatments address not only drug-drug interactions, but also the patient's environment, comorbidities, gender, and age. Genetic factors, which are not commonly considered during prescribing except for some drugs, account for 15-30% of the variability in drug response. From a pharmacokinetic point of view, genetic polymorphisms are likely to modify drug absorption, metabolism, transport and elimination. Data from the literature indicate that the concentration profiles of many drugs are genetically influenced. It is also well known that genetic polymorphisms that alter the targeting of some drugs can alter drug response, especially in oncology.
Personalization of medicine is a fundamental approach to treating patients individually. Pilot studies to integrate pharmacogenetics into practice are already being conducted in hospitals, and some pharmacies abroad offer pharmacogenetic testing, as in Canada and Germany.
In Switzerland, a new Ordinance on Genetic Analysis Act was passed on September 23, 2022, allowing pharmacists to carry out genetic testing in the medical field.Because of the increasing evidence of the influence of CYP2C19 genetic polymorphisms on the efficacy and toxicity of escitalopram, the high prevalence of prescription of this drug in the treatment of depression, the prevalence of genetic polymorphisms in the Caucasian population (30% ultra-rapid metabolizers and 4% poor metabolizers) and the potential costs to public health, this drug was chosen as a prototype for this pilot project.
Therefore, investigators want to conduct a pilot study to evaluate the efficacy, safety, feasibility, and cost-effectiveness of pharmacy-based genetic testing as part of patient care management and identified barriers to using such tests.
- Conditions
- Pharmacogenetic Testing
- Being tested
- Prescription of escitalopram using pharmacogenetic testing
- Keywords
- Community pharmacy, Escitalopram
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Prescription of escitalopram using pharmacogenetic testingOther
Adjustment of escitalopram treatment according to pharmacogenetic results obtained by genetic testing for cytochrome CYP 2C19 (alleles *2, *3 and *17)
| Study group | Role | What they receive |
|---|---|---|
| Intervention arm | Other | Adjustment of antidepressant treatment according to pharmacogenetic results obtained by genetic testing for cytochrome CYP 2C19 (alleles *2, *3 and *17) Receives: Other: Prescription of escitalopram using pharmacogenetic testing |
| Control arm | No intervention | Delivery of escitalopram treatment as prescribed. Genetic analysis will be performed in batch at the end of the follow-up period. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of participants in the intervention and control groups who experienced a treatment failure on escitalopram.
Number of escitalopram treatment failures in patients with escitalopram prescription based on CYP2C19 genetic testing information versus the control group prior to normal care. Treatment failure is defined here as discontinuation, dose change, or treatment change.
Measured: From enrollment to last follow-up: circa 3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Jan 2024
- Study start15 Aug 2025 (estimated)
- Primary completion14 Aug 2027 (estimated)
- Study completion14 Aug 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Pharmacogenetic TestingStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- This study consists of two groups, an intervention group using CYP2C19 genetic information to validate escitalopram prescriptions, and a control group without using CYP2C19 genetic information.
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 270 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chantal Csajka
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Chantal Csajka, Centre Hospitalier Universitaire Vaudois
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06210321
- Sponsor's protocol ID
- OffiGene01
- Acronym
- OffiGene
- Status last verified
- Jun 2025
- First submitted
- 23 Mar 2023
- Last updated
- 5 Jun 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Zhou Y, Ingelman-Sundberg M, Lauschke VM. Worldwide Distribution of Cytochrome P450 Alleles: A Meta-analysis of Population-scale Sequencing Projects. Clin Pharmacol Ther. 2017 Oct;102(4):688-700. doi: 10.1002/cpt.690. Epub 2017 May 26.
PubMed 28378927Eichelbaum M, Ingelman-Sundberg M, Evans WE. Pharmacogenomics and individualized drug therapy. Annu Rev Med. 2006;57:119-37. doi: 10.1146/annurev.med.56.082103.104724.
PubMed 16409140U.S. Food and Drug Administration. Table of pharmacogenomic biomarkers in drug labeling. https://www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling/. Accessed November, 15 2022.
CHUV - Département oncologie. Une médecine sur mesure grâce à l'analyse génétique des tumeurs. 30.07.2018
Veronika Litinski RD, PH. D., Boyko Kabakchiev, PH. D., Lou Carsley, Liz Garman, Gil McGowan, Gouri Mukerjee, PH. D. Pillcheck 2021 [Available from: https://www.pillcheck.ca/.
Prof. Dr Theo Dingermann, Prof. Dr. Dieter Steinhilber. Stratipharm [cited 2022 03.06]. Available from: https://www.stratipharm.de/.
Loi sur l'analyse génétique : renforcement de la protection contre les abus, (2022).
Evans WE, McLeod HL. Pharmacogenomics--drug disposition, drug targets, and side effects. N Engl J Med. 2003 Feb 6;348(6):538-49. doi: 10.1056/NEJMra020526. No abstract available.
PubMed 12571262Phillips KA, Veenstra DL, Oren E, Lee JK, Sadee W. Potential role of pharmacogenomics in reducing adverse drug reactions: a systematic review. JAMA. 2001 Nov 14;286(18):2270-9. doi: 10.1001/jama.286.18.2270.
PubMed 11710893Ionova Y, Ashenhurst J, Zhan J, Nhan H, Kosinski C, Tamraz B, Chubb A. CYP2C19 Allele Frequencies in Over 2.2 Million Direct-to-Consumer Genetics Research Participants and the Potential Implication for Prescriptions in a Large Health System. Clin Transl Sci. 2020 Nov;13(6):1298-1306. doi: 10.1111/cts.12830. Epub 2020 Jul 21.
PubMed 32506666Berm EJ, Looff Md, Wilffert B, Boersma C, Annemans L, Vegter S, Boven JF, Postma MJ. Economic Evaluations of Pharmacogenetic and Pharmacogenomic Screening Tests: A Systematic Review. Second Update of the Literature. PLoS One. 2016 Jan 11;11(1):e0146262. doi: 10.1371/journal.pone.0146262. eCollection 2016.
PubMed 26752539
Study at a glance
From the registry record, last updated by the sponsor on 5 Jun 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Randomised Controlled Study of the Efficacy and Acceptability of a Pharmacogenetic Test in the Management of Patients Treated With Escitalopram.
- ClinicalTrials.gov ID
- NCT06210321
- Acronym / sponsor ID
- OffiGene / OffiGene01
- Conditions
- Pharmacogenetic Testing
- Keywords
- Community pharmacy, Escitalopram
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 270 participants (estimated)
- Lead sponsor
- Chantal CsajkaUniversity, hospital or other
- Study start
- 15 Aug 2025 (estimated)
- Primary completion
- 14 Aug 2027 (estimated)
- Study completion
- 14 Aug 2027 (estimated)
- First posted
- 18 Jan 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of this study is to assess the clinical impact of reducing treatment failure rates after using genetic information targeting CYP2C19 in validating escitalopram prescription. 5 pharmacies in the canton of Vaud (Lausanne, Switzerland) will participate in the study.
The study will also explored the ability to perform the test in community pharmacy, physician and pharmacist approval of prescription changes, patient acceptance of the test and dose changes, the economic impact of the test, the association between genetic polymorphisms and therapeutic failures and the degree of satisfaction, barriers and facilitators by stakeholders.
Detailed description
Response to medication depends on many clinical, demographic, environmental, and genetic factors. Non-genetic factors that are often considered when prescribing treatments address not only drug-drug interactions, but also the patient's environment, comorbidities, gender, and age. Genetic factors, which are not commonly considered during prescribing except for some drugs, account for 15-30% of the variability in drug response. From a pharmacokinetic point of view, genetic polymorphisms are likely to modify drug absorption, metabolism, transport and elimination. Data from the literature indicate that the concentration profiles of many drugs are genetically influenced. It is also well known that genetic polymorphisms that alter the targeting of some drugs can alter drug response, especially in oncology.
Personalization of medicine is a fundamental approach to treating patients individually. Pilot studies to integrate pharmacogenetics into practice are already being conducted in hospitals, and some pharmacies abroad offer pharmacogenetic testing, as in Canada and Germany.
In Switzerland, a new Ordinance on Genetic Analysis Act was passed on September 23, 2022, allowing pharmacists to carry out genetic testing in the medical field.Because of the increasing evidence of the influence of CYP2C19 genetic polymorphisms on the efficacy and toxicity of escitalopram, the high prevalence of prescription of this drug in the treatment of depression, the prevalence of genetic polymorphisms in the Caucasian population (30% ultra-rapid metabolizers and 4% poor metabolizers) and the potential costs to public health, this drug was chosen as a prototype for this pilot project.
Therefore, investigators want to conduct a pilot study to evaluate the efficacy, safety, feasibility, and cost-effectiveness of pharmacy-based genetic testing as part of patient care management and identified barriers to using such tests.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- This study consists of two groups, an intervention group using CYP2C19 genetic information to validate escitalopram prescriptions, and a control group without using CYP2C19 genetic information.
| Arm | Type | Receives |
|---|---|---|
| Intervention arm | Other | Other: Prescription of escitalopram using pharmacogenetic testingAdjustment of antidepressant treatment according to pharmacogenetic results obtained by genetic testing for cytochrome CYP 2C19 (alleles *2, *3 and *17) |
| Control arm | No intervention | –Delivery of escitalopram treatment as prescribed. Genetic analysis will be performed in batch at the end of the follow-up period. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Must consent to participate in the study,
- Must sign consent,
- Must be able to follow and understand the study procedures,
- Initiation of escitalopram treatment for unipolar depression with or without anxiety
Key exclusion criteria (3 listed)
- Other condition than depression (such as panic disorder)
- Escitalopram treatment already received
- Not able to consent to participate in the study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Prescription of escitalopram using pharmacogenetic testingAdjustment of escitalopram treatment according to pharmacogenetic results obtained by genetic testing for cytochrome CYP 2C19 (alleles *2, *3 and *17) | Other | Intervention arm |
Primary outcome
Number of participants in the intervention and control groups who experienced a treatment failure on escitalopram.
Time frame: From enrollment to last follow-up: circa 3 months
Number of escitalopram treatment failures in patients with escitalopram prescription based on CYP2C19 genetic testing information versus the control group prior to normal care. Treatment failure is defined here as discontinuation, dose change, or treatment change.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Jun 2025.
- Background: PubMed 28378927Zhou Y, Ingelman-Sundberg M, Lauschke VM. Worldwide Distribution of Cytochrome P450 Alleles: A Meta-analysis of Population-scale Sequencing Projects. Clin Pharmacol Ther. 2017 Oct;102(4):688-700. doi: 10.1002/cpt.690. Epub 2017 May 26.
- Background: PubMed 16409140Eichelbaum M, Ingelman-Sundberg M, Evans WE. Pharmacogenomics and individualized drug therapy. Annu Rev Med. 2006;57:119-37. doi: 10.1146/annurev.med.56.082103.104724.
- BackgroundU.S. Food and Drug Administration. Table of pharmacogenomic biomarkers in drug labeling. https://www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling/. Accessed November, 15 2022.
- BackgroundCHUV - Département oncologie. Une médecine sur mesure grâce à l'analyse génétique des tumeurs. 30.07.2018
- BackgroundVeronika Litinski RD, PH. D., Boyko Kabakchiev, PH. D., Lou Carsley, Liz Garman, Gil McGowan, Gouri Mukerjee, PH. D. Pillcheck 2021 [Available from: https://www.pillcheck.ca/.
- BackgroundProf. Dr Theo Dingermann, Prof. Dr. Dieter Steinhilber. Stratipharm [cited 2022 03.06]. Available from: https://www.stratipharm.de/.
- BackgroundLoi sur l'analyse génétique : renforcement de la protection contre les abus, (2022).
- Background: PubMed 12571262Evans WE, McLeod HL. Pharmacogenomics--drug disposition, drug targets, and side effects. N Engl J Med. 2003 Feb 6;348(6):538-49. doi: 10.1056/NEJMra020526. No abstract available.
- Background: PubMed 11710893Phillips KA, Veenstra DL, Oren E, Lee JK, Sadee W. Potential role of pharmacogenomics in reducing adverse drug reactions: a systematic review. JAMA. 2001 Nov 14;286(18):2270-9. doi: 10.1001/jama.286.18.2270.
- Background: PubMed 32506666Ionova Y, Ashenhurst J, Zhan J, Nhan H, Kosinski C, Tamraz B, Chubb A. CYP2C19 Allele Frequencies in Over 2.2 Million Direct-to-Consumer Genetics Research Participants and the Potential Implication for Prescriptions in a Large Health System. Clin Transl Sci. 2020 Nov;13(6):1298-1306. doi: 10.1111/cts.12830. Epub 2020 Jul 21.
- Background: PubMed 26752539Berm EJ, Looff Md, Wilffert B, Boersma C, Annemans L, Vegter S, Boven JF, Postma MJ. Economic Evaluations of Pharmacogenetic and Pharmacogenomic Screening Tests: A Systematic Review. Second Update of the Literature. PLoS One. 2016 Jan 11;11(1):e0146262. doi: 10.1371/journal.pone.0146262. eCollection 2016.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Questions about this trial
What is this clinical trial studying?
A study testing Prescription of escitalopram using pharmacogenetic testing in people with Pharmacogenetic Testing, run by Chantal Csajka.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 5 Jun 2025. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Chantal Csajka, Pre (+4121 314 42 63, chantal.csajka@chuv.ch), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of participants in the intervention and control groups who experienced a treatment failure on escitalopram. (time frame: From enrollment to last follow-up: circa 3 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06210321, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Jun 2025.