Cargando…

Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study

Pharmacogenetic panel-based testing represents a new model for precision medicine. A sufficiently powered prospective study assessing the (cost-)effectiveness of a panel-based pharmacogenomics approach to guide pharmacotherapy is lacking. Therefore, the Ubiquitous Pharmacogenomics Consortium initiat...

Descripción completa

Detalles Bibliográficos
Autores principales: van der Wouden, Cathelijne H., Böhringer, Stefan, Cecchin, Erika, Cheung, Ka-Chun, Dávila-Fajardo, Cristina Lucía, Deneer, Vera H.M., Dolžan, Vita, Ingelman-Sundberg, Magnus, Jönsson, Siv, Karlsson, Mats O., Kriek, Marjolein, Mitropoulou, Christina, Patrinos, George P., Pirmohamed, Munir, Rial-Sebbag, Emmanuelle, Samwald, Matthias, Schwab, Matthias, Steinberger, Daniela, Stingl, Julia, Sunder-Plassmann, Gere, Toffoli, Giuseppe, Turner, Richard M., van Rhenen, Mandy H., van Zwet, Erik, Swen, Jesse J., Guchelaar, Henk-Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331826/
https://www.ncbi.nlm.nih.gov/pubmed/32317559
http://dx.doi.org/10.1097/FPC.0000000000000405
_version_ 1783553408645464064
author van der Wouden, Cathelijne H.
Böhringer, Stefan
Cecchin, Erika
Cheung, Ka-Chun
Dávila-Fajardo, Cristina Lucía
Deneer, Vera H.M.
Dolžan, Vita
Ingelman-Sundberg, Magnus
Jönsson, Siv
Karlsson, Mats O.
Kriek, Marjolein
Mitropoulou, Christina
Patrinos, George P.
Pirmohamed, Munir
Rial-Sebbag, Emmanuelle
Samwald, Matthias
Schwab, Matthias
Steinberger, Daniela
Stingl, Julia
Sunder-Plassmann, Gere
Toffoli, Giuseppe
Turner, Richard M.
van Rhenen, Mandy H.
van Zwet, Erik
Swen, Jesse J.
Guchelaar, Henk-Jan
author_facet van der Wouden, Cathelijne H.
Böhringer, Stefan
Cecchin, Erika
Cheung, Ka-Chun
Dávila-Fajardo, Cristina Lucía
Deneer, Vera H.M.
Dolžan, Vita
Ingelman-Sundberg, Magnus
Jönsson, Siv
Karlsson, Mats O.
Kriek, Marjolein
Mitropoulou, Christina
Patrinos, George P.
Pirmohamed, Munir
Rial-Sebbag, Emmanuelle
Samwald, Matthias
Schwab, Matthias
Steinberger, Daniela
Stingl, Julia
Sunder-Plassmann, Gere
Toffoli, Giuseppe
Turner, Richard M.
van Rhenen, Mandy H.
van Zwet, Erik
Swen, Jesse J.
Guchelaar, Henk-Jan
author_sort van der Wouden, Cathelijne H.
collection PubMed
description Pharmacogenetic panel-based testing represents a new model for precision medicine. A sufficiently powered prospective study assessing the (cost-)effectiveness of a panel-based pharmacogenomics approach to guide pharmacotherapy is lacking. Therefore, the Ubiquitous Pharmacogenomics Consortium initiated the PREemptive Pharmacogenomic testing for prevention of Adverse drug Reactions (PREPARE) study. Here, we provide an overview of considerations made to mitigate multiple methodological challenges that emerged during the design. METHODS: An evaluation of considerations made when designing the PREPARE study across six domains: study aims and design, primary endpoint definition and collection of adverse drug events, inclusion and exclusion criteria, target population, pharmacogenomics intervention strategy, and statistical analyses. RESULTS: Challenges and respective solutions included: (1) defining and operationalizing a composite primary endpoint enabling measurement of the anticipated effect, by including only severe, causal, and drug genotype-associated adverse drug reactions; (2) avoiding overrepresentation of frequently prescribed drugs within the patient sample while maintaining external validity, by capping drugs of enrolment; (3) designing the pharmacogenomics intervention strategy to be applicable across ethnicities and healthcare settings; and (4) designing a statistical analysis plan to avoid dilution of effect by initially excluding patients without a gene–drug interaction in a gatekeeping analysis. CONCLUSION: Our design considerations will enable quantification of the collective clinical utility of a panel of pharmacogenomics-markers within one trial as a proof-of-concept for pharmacogenomics-guided pharmacotherapy across multiple actionable gene–drug interactions. These considerations may prove useful to other investigators aiming to generate evidence for precision medicine.
format Online
Article
Text
id pubmed-7331826
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-73318262020-07-13 Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study van der Wouden, Cathelijne H. Böhringer, Stefan Cecchin, Erika Cheung, Ka-Chun Dávila-Fajardo, Cristina Lucía Deneer, Vera H.M. Dolžan, Vita Ingelman-Sundberg, Magnus Jönsson, Siv Karlsson, Mats O. Kriek, Marjolein Mitropoulou, Christina Patrinos, George P. Pirmohamed, Munir Rial-Sebbag, Emmanuelle Samwald, Matthias Schwab, Matthias Steinberger, Daniela Stingl, Julia Sunder-Plassmann, Gere Toffoli, Giuseppe Turner, Richard M. van Rhenen, Mandy H. van Zwet, Erik Swen, Jesse J. Guchelaar, Henk-Jan Pharmacogenet Genomics Original Articles Pharmacogenetic panel-based testing represents a new model for precision medicine. A sufficiently powered prospective study assessing the (cost-)effectiveness of a panel-based pharmacogenomics approach to guide pharmacotherapy is lacking. Therefore, the Ubiquitous Pharmacogenomics Consortium initiated the PREemptive Pharmacogenomic testing for prevention of Adverse drug Reactions (PREPARE) study. Here, we provide an overview of considerations made to mitigate multiple methodological challenges that emerged during the design. METHODS: An evaluation of considerations made when designing the PREPARE study across six domains: study aims and design, primary endpoint definition and collection of adverse drug events, inclusion and exclusion criteria, target population, pharmacogenomics intervention strategy, and statistical analyses. RESULTS: Challenges and respective solutions included: (1) defining and operationalizing a composite primary endpoint enabling measurement of the anticipated effect, by including only severe, causal, and drug genotype-associated adverse drug reactions; (2) avoiding overrepresentation of frequently prescribed drugs within the patient sample while maintaining external validity, by capping drugs of enrolment; (3) designing the pharmacogenomics intervention strategy to be applicable across ethnicities and healthcare settings; and (4) designing a statistical analysis plan to avoid dilution of effect by initially excluding patients without a gene–drug interaction in a gatekeeping analysis. CONCLUSION: Our design considerations will enable quantification of the collective clinical utility of a panel of pharmacogenomics-markers within one trial as a proof-of-concept for pharmacogenomics-guided pharmacotherapy across multiple actionable gene–drug interactions. These considerations may prove useful to other investigators aiming to generate evidence for precision medicine. Lippincott Williams & Wilkins 2020-04-20 2020-08 /pmc/articles/PMC7331826/ /pubmed/32317559 http://dx.doi.org/10.1097/FPC.0000000000000405 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/) (CC-BY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Articles
van der Wouden, Cathelijne H.
Böhringer, Stefan
Cecchin, Erika
Cheung, Ka-Chun
Dávila-Fajardo, Cristina Lucía
Deneer, Vera H.M.
Dolžan, Vita
Ingelman-Sundberg, Magnus
Jönsson, Siv
Karlsson, Mats O.
Kriek, Marjolein
Mitropoulou, Christina
Patrinos, George P.
Pirmohamed, Munir
Rial-Sebbag, Emmanuelle
Samwald, Matthias
Schwab, Matthias
Steinberger, Daniela
Stingl, Julia
Sunder-Plassmann, Gere
Toffoli, Giuseppe
Turner, Richard M.
van Rhenen, Mandy H.
van Zwet, Erik
Swen, Jesse J.
Guchelaar, Henk-Jan
Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study
title Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study
title_full Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study
title_fullStr Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study
title_full_unstemmed Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study
title_short Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study
title_sort generating evidence for precision medicine: considerations made by the ubiquitous pharmacogenomics consortium when designing and operationalizing the prepare study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331826/
https://www.ncbi.nlm.nih.gov/pubmed/32317559
http://dx.doi.org/10.1097/FPC.0000000000000405
work_keys_str_mv AT vanderwoudencathelijneh generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT bohringerstefan generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT cecchinerika generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT cheungkachun generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT davilafajardocristinalucia generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT deneerverahm generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT dolzanvita generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT ingelmansundbergmagnus generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT jonssonsiv generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT karlssonmatso generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT kriekmarjolein generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT mitropoulouchristina generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT patrinosgeorgep generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT pirmohamedmunir generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT rialsebbagemmanuelle generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT samwaldmatthias generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT schwabmatthias generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT steinbergerdaniela generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT stingljulia generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT sunderplassmanngere generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT toffoligiuseppe generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT turnerrichardm generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT vanrhenenmandyh generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT vanzweterik generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT swenjessej generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy
AT guchelaarhenkjan generatingevidenceforprecisionmedicineconsiderationsmadebytheubiquitouspharmacogenomicsconsortiumwhendesigningandoperationalizingthepreparestudy