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dc.contributor.authorSilva, Ana I.
dc.contributor.authorSonderby, Ida E.
dc.contributor.authorKirov, George
dc.contributor.authorAbdellaoui, Abdel
dc.contributor.authorAgartz, Ingrid
dc.contributor.authorAmes, kDavid
dc.contributor.authorArmstrong, Nicola J.
dc.contributor.authorArtiges, Eric
dc.contributor.authorBanaschewski, Tobias
dc.contributor.authorBassett, Anne S.
dc.contributor.authorBearden, Carrie E.
dc.contributor.authorBlangero, John
dc.contributor.authorBoen, Rune
dc.contributor.authorBoomsma, Dorret I.
dc.contributor.authorBülow, Robin
dc.contributor.authorButcher, Nancy J.
dc.contributor.authorCalhoun, Vince
dc.contributor.authorTordesillas Gutiérrez, Diana 
dc.contributor.authorVázquez Bourgon, Javier 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-10-23T09:24:00Z
dc.date.available2025-10-23T09:24:00Z
dc.date.issued2025
dc.identifier.issn2451-9022
dc.identifier.issn2451-9030
dc.identifier.urihttps://hdl.handle.net/10902/37951
dc.description.abstractBackground: Copy number variants (CNVs) may increase the risk for neurodevelopmental conditions. The neurobiological mechanisms that link these high-risk genetic variants to clinical phenotypes are largely unknown. An important question is whether brain abnormalities in individuals who carry CNVs are associated with their degree of penetrance. Methods: We investigated whether increased CNV penetrance for schizophrenia and other developmental disorders was associated with variations in cortical and subcortical morphology. We pooled T1-weighted brain magnetic resonance imaging and genetic data from 22 cohorts from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)-CNV consortium. In the main analyses, we included 9268 individuals (aged 7?90 years, 54% female), from which we identified 398 carriers of 36 neurodevelopmental CNVs at 20 distinct loci. A secondary analysis was performed including additional neuroimaging data from the ENIGMA-22q consortium, including 274 carriers of the 22q11.2 deletion and 291 noncarriers. CNV penetrance was estimated through penetrance scores that were previously generated from large cohorts of patients and controls. These scores represent the probability risk of developing either schizophrenia or other developmental disorders (including developmental delay, autism spectrum disorder, and congenital malformations). Results: For both schizophrenia and developmental disorders, increased penetrance scores were associated with lower surface area in the cerebral cortex and lower intracranial volume. For both conditions, associations between CNV-penetrance scores and cortical surface area were strongest in regions of the occipital lobes, specifically in the cuneus and lingual gyrus. Conclusions: Our findings link global and regional cortical morphometric features with CNV penetrance, providing new insights into neurobiological mechanisms of genetic risk for schizophrenia and other developmental disorders.es_ES
dc.format.extent14 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rights© 2025 Society of Biological Psychiatry. Published by Elsevier Inc. This is an open access article under the CC BY licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceBiological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2025, 10(10), 1093-1106es_ES
dc.titlePenetrance of neurodevelopmental copy number variants is associated with variations in cortical morphologyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.bpsc.2025.05.010es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.bpsc.2025.05.010
dc.type.versionpublishedVersiones_ES


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© 2025 Society of Biological Psychiatry. Published by Elsevier Inc. This is an open access article under the CC BY licenseExcepto si se señala otra cosa, la licencia del ítem se describe como © 2025 Society of Biological Psychiatry. Published by Elsevier Inc. This is an open access article under the CC BY license