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dc.contributor.authorSegura, Alex G.
dc.contributor.authorMartínez Pinteño, Albert
dc.contributor.authorGassó, Patricia
dc.contributor.authorRodríguez, Natalia
dc.contributor.authorCuesta, Manuel J.
dc.contributor.authorGonzález Peñas, Javier
dc.contributor.authorGarcía Rizo, Clemente
dc.contributor.authorLobo, Antonio
dc.contributor.authorGonzález Pinto Arrillaga, Ana María ORCID
dc.contributor.authorGarcía Alcón, Alicia
dc.contributor.authorRoldán, Alexandra
dc.contributor.authorVieta, Eduard
dc.contributor.authorCastro Fornieles, Josefina
dc.contributor.authorMané, Anna
dc.contributor.authorSáiz, Jerónimo
dc.contributor.authorBernardo, Miguel
dc.contributor.authorMas, Sergi
dc.contributor.authorPEPs Group
dc.date.accessioned2022-09-01T11:00:17Z
dc.date.available2022-09-01T11:00:17Z
dc.date.issued2022-06
dc.identifier.citationSchizophrenia Research 244 : 101-110 (2022)es_ES
dc.identifier.issn0920-9964
dc.identifier.issn1573-2509
dc.identifier.urihttp://hdl.handle.net/10810/57408
dc.description.abstract[EN] Objective: Metabolic syndrome is a health-threatening condition suffered by approximately one third of schizophrenia patients and largely attributed to antipsychotic medication. Previous evidence reports a common genetic background of psychotic and metabolic disorders. In this study, we aimed to assess the role of polygenic risk scores (PRSs) on the progression of the metabolic profile in a first-episode psychosis (FEP) cohort. Method: Of the 231 FEP individuals included in the study, 192-220 participants were included in basal analysis and 118-179 in longitudinal 6-month models. Eleven psychopathologic and metabolic PRSs were constructed. Basal and longitudinal PRSs association with metabolic measurements was assessed by statistical analyses.Results: No major association of psychopathological PRSs with the metabolic progression was found. However, high risk individuals for depression and cholesterol-related PRSs reported a higher increase of cholesterol levels during the follow-up (FDR <= 0.023 for all analyses). Their effect was comparable to other well-established pharmacological and environmental risk factors (explaining at least 1.2% of total variance).Conclusion: Our findings provide new evidence of the effects of metabolic genetic risk on the development of metabolic dysregulation. The future establishment of genetic profiling tools in clinical procedures could enable practitioners to better personalize antipsychotic treatment selection and dosage.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectpsychotic disorderses_ES
dc.subjectmetabolic syndromees_ES
dc.subjectpolygenic risk scorees_ES
dc.titleMetabolic polygenic risk scores effect on antipsychotic-induced metabolic dysregulation: A longitudinal study in a first episode psychosis cohortes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0920996422001980?via%3Dihubes_ES
dc.identifier.doi10.1016/j.schres.2022.05.021
dc.departamentoesNeurocienciases_ES
dc.departamentoeuNeurozientziakes_ES


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© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Except where otherwise noted, this item's license is described as © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)