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Gene expression imputation provides clinical and biological insights into treatment-resistant schizophrenia polygenic risk

dc.contributor.authorProhens Coll, Llucia
dc.contributor.authorRodríguez Ferret, Natalia
dc.contributor.authorGonzàlez Segura, Àlex
dc.contributor.authorMartínez Pinteño, Albert
dc.contributor.authorOlivares Berjaga, David
dc.contributor.authorMartínez-Serrano, Irene
dc.contributor.authorGonzález, Aitor
dc.contributor.authorMezquida Mateos, Gisela
dc.contributor.authorParellada, Mara
dc.contributor.authorCuesta, Manuel J.
dc.contributor.authorBernardo Arroyo, Miquel
dc.contributor.authorGassó Astorga, Patricia
dc.contributor.authorMas Herrero, Sergi
dc.date.accessioned2025-07-29T11:57:44Z
dc.date.available2025-07-29T11:57:44Z
dc.date.issued2024-01-05
dc.date.updated2025-07-29T11:57:44Z
dc.description.abstractGenome-wide association studies (GWAS) have revealed the polygenic nature of treatment-resistant schizophrenia TRS. Gene expression imputation allowed the translation of GWAS results into regulatory mechanisms and the construction of gene expression (GReX) risk scores (GReX-RS). In the present study we computed GReX-RS from the largest GWAS of TRS to assess its association with clinical features. We perform transcriptome imputation in the largest GWAS of TRS to find GReX associated with TRS using brain tissues. Then, for each tissue, we constructed a GReX-RS of the identified genes in a sample of 254 genotyped first episode of psychosis (FEP) patients to test its association with clinical phenotypes, including clinical symptomatology, global functioning and cognitive performance. Our analysis provides evidence that the polygenic basis of TRS includes genetic variants that modulate the expression of certain genes in certain brain areas (substantia nigra, hippocampus, amygdala and frontal cortex), which at the same time are related to clinical features in FEP patients, mainly persistence of negative symptoms and cognitive alterations in sustained attention, which have also been suggested as clinical predictors of TRS. Our results provide a clinical explanation of the polygenic architecture of TRS and give more insight into the biological mechanisms underlying TRS.
dc.format.extent13 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec741549
dc.identifier.issn0165-1781
dc.identifier.pmid38198858
dc.identifier.urihttps://hdl.handle.net/2445/222664
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.psychres.2024.115722
dc.relation.ispartofPsychiatry Research, 2024, vol. 332
dc.relation.urihttps://doi.org/10.1016/j.psychres.2024.115722
dc.rightscc-by-nc (c) Prohens Coll, Llucia, et al., 2024
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourceArticles publicats en revistes (Fonaments Clínics)
dc.subject.classificationPsicosi
dc.subject.classificationDiagnòstic
dc.subject.classificationGenètica
dc.subject.classificationGenoma humà
dc.subject.classificationEsquizofrènia
dc.subject.otherPsychoses
dc.subject.otherDiagnosis
dc.subject.otherGenetics
dc.subject.otherHuman genome
dc.subject.otherSchizophrenia
dc.titleGene expression imputation provides clinical and biological insights into treatment-resistant schizophrenia polygenic risk
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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