Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depression
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Oliva, Vincenzo
- dc.contributor.author European College of Neuropsychopharmacology (ECNP) Pharmacogenomics & Transcriptomics Network
- dc.date.accessioned 2025-01-28T08:18:46Z
- dc.date.available 2025-01-28T08:18:46Z
- dc.date.issued 2024
- dc.description.abstract A significant proportion of patients with major depressive disorder (MDD) do not experience remission after one or more pharmacological treatments. Research has explored brain structural measures, particularly hippocampal volume, as potential predictors of treatment response, as well as genetic factors. his study investigated the association of polygenic scores (PGSs) for seven subcortical brain volumes (including the hippocampus, nucleus accumbens, amygdala, and caudate nucleus) with treatment non-response and non-remission in MDD. Patients with MDD were recruited in the context of five clinical studies, including a total of 3637 individuals. PGSs were estimated using a Bayesian framework and continuous shrinkage priors (PRS-CS-auto) after standard genotype quality control and imputation. Logistic regressions were performed between PGSs and non-response or non-remission in each sample, adjusting for age, sex, baseline symptom severity, recruitment sites, and population stratification. Results were meta-analysed across samples, using a random-effect model. No association was significant in the meta-analysis after Bonferroni correction. The top finding was found for the caudate volume PGS and non-remission (OR = 1.09, 95% CI = 1.01–1.19, p = 0.036), with no evidence of heterogeneity. Leave-one-out sensitivity analyses showed that this result was influenced by the two largest samples in the meta-analysis. This result should be considered as preliminary as it did not reach the Bonferroni-adjusted significance threshold. Future studies with greater statistical power may enhance the predictive performance of PGSs and contribute to the identification of polygenic predictors of treatment outcomes in MDD, contributing to precision psychiatry.
- dc.format.mimetype application/pdf
- dc.identifier.citation Oliva V, Martone A, Fanelli G, Domschke K, Minelli A, Gennarelli M, et al. Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depression. Neuroscience Applied. 2024;3:103937. DOI: 10.1016/j.nsa.2024.103937
- dc.identifier.doi http://dx.doi.org/10.1016/j.nsa.2024.103937
- dc.identifier.issn 2772-4085
- dc.identifier.uri http://hdl.handle.net/10230/69328
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Neuroscience Applied. 2024;3:103937
- dc.rights © 2024 The Author(s). Published by Elsevier B.V. on behalf of European College of Neuropsychopharmacology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword Major depression
- dc.subject.keyword Subcortical brain volumes
- dc.subject.keyword Polygenic scores
- dc.subject.keyword Treatment response
- dc.subject.keyword Basal ganglia
- dc.subject.keyword Striatum
- dc.title Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depression
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion