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

dc.contributor.authorProhens, Llucia
dc.contributor.authorParellada Redondo, María José
dc.contributor.authorMas, Sergi
dc.date.accessioned2025-05-07T08:11:04Z
dc.date.available2025-05-07T08:11:04Z
dc.date.issued2024-01-03
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.description.departmentDepto. de Medicina Legal, Psiquiatría y Patología
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.sponsorshipInstituto de Salud Carlos III
dc.description.sponsorshipUnión Europea
dc.description.sponsorshipGobierno de Cataluña
dc.description.statuspub
dc.identifier.citationProhens L, Rodríguez N, Segura ÀG, Martínez-Pinteño A, Olivares-Berjaga D, Martínez I, González A, Mezquida G, Parellada M, Cuesta MJ, Bernardo M, Gassó P, Mas S. Gene expression imputation provides clinical and biological insights into treatment-resistant schizophrenia polygenic risk. Psychiatry Res. 2024 Feb;332:115722. doi: 10.1016/j.psychres.2024.115722. Epub 2024 Jan 5. PMID: 38198858.
dc.identifier.doi10.1016/j.psychres.2024.115722
dc.identifier.issn0165-1781
dc.identifier.officialurlhttps://doi.org/10.1016/j.psychres.2024.115722
dc.identifier.relatedurlhttps://www.sciencedirect.com/science/article/pii/S016517812400009X?via%3Dihub
dc.identifier.urihttps://hdl.handle.net/20.500.14352/119880
dc.journal.titlePsychiatry Research
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDPI080208
dc.relation.projectIDPI20/00574
dc.relation.projectID2021 SGR 00672
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.cdu616.8
dc.subject.keywordGenome-wide association studies
dc.subject.keywordPolygenic risk score
dc.subject.keywordPsychosis
dc.subject.keywordSchizophrenia
dc.subject.keywordTranscriptome imputation
dc.subject.keywordTreatment-resistant
dc.subject.ucmPsiquiatría
dc.subject.unesco3211 Psiquiatría
dc.titleGene expression imputation provides clinical and biological insights into treatment-resistant schizophrenia polygenic risk
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number332
dspace.entity.typePublication
relation.isAuthorOfPublication5d8b0c5e-f48f-465e-86d2-803745e403f8
relation.isAuthorOfPublication.latestForDiscovery5d8b0c5e-f48f-465e-86d2-803745e403f8

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