Prediction of antipsychotics efficacy based on a polygenic risk score: a real-world cohort study.
Détails
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Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_FAEE8634BC1C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Prediction of antipsychotics efficacy based on a polygenic risk score: a real-world cohort study.
Périodique
Frontiers in pharmacology
ISSN
1663-9812 (Print)
ISSN-L
1663-9812
Statut éditorial
Publié
Date de publication
2024
Peer-reviewed
Oui
Volume
15
Pages
1274442
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
Background: Response to antipsychotics is subject to a wide interindividual variability, due to genetic and non-genetic factors. Several single nucleotide polymorphisms (SNPs) have been associated with response to antipsychotics in genome-wide association studies (GWAS). Polygenic risk scores (PRS) are a powerful tool to aggregate into a single measure the small effects of multiple risk alleles. Materials and methods: We studied the association between a PRS composed of SNPs associated with response to antipsychotics in GWAS studies (PRS <sub>response</sub> ) in a real-world sample of patients (N = 460) with different diagnoses (schizophrenia spectrum, bipolar, depressive, neurocognitive, substance use disorders and miscellaneous). Two other PRSs composed of SNPs previously associated with risk of schizophrenia (PRS <sub>schizophrenia1</sub> and PRS <sub>schizophrenia2</sub> ) were also tested for their association with response to treatment. Results: PRS <sub>response</sub> was significantly associated with response to antipsychotics considering the whole cohort (OR = 1.14, CI = 1.03-1.26, p = 0.010), the subgroup of patients with schizophrenia, schizoaffective disorder or bipolar disorder (OR = 1.18, CI = 1.02-1.37, p = 0.022, N = 235), with schizophrenia or schizoaffective disorder (OR = 1.24, CI = 1.04-1.47, p = 0.01, N = 176) and with schizophrenia (OR = 1.27, CI = 1.04-1.55, p = 0.01, N = 149). Sensitivity and specificity were sub-optimal (schizophrenia 62%, 61%; schizophrenia spectrum 56%, 55%; schizophrenia spectrum plus bipolar disorder 60%, 56%; all patients 63%, 58%, respectively). PRS <sub>schizophrenia1</sub> and PRS <sub>schizophrenia2</sub> were not significantly associated with response to treatment. Conclusion: PRS <sub>response</sub> defined from GWAS studies is significantly associated with response to antipsychotics in a real-world cohort; however, the results of the sensitivity-specificity analysis preclude its use as a predictive tool in clinical practice.
Mots-clé
GWAS, antipsychotics, personalized medicine, polygenic risk score, response to treatment, single nucleotide polimorphism (SNP)
Pubmed
Web of science
Open Access
Oui
Création de la notice
25/03/2024 14:06
Dernière modification de la notice
06/04/2024 6:38