Ana I Silva, Ida E Sønderby, George Kirov, Abdel Abdellaoui, Ingrid Agartz, David Ames, Nicola J Armstrong, Eric Artiges, Tobias Banaschewski, Anne S Bassett, Carrie E Bearden, John Blangero, Rune Boen, Dorret I Boomsma, Robin Bülow, Nancy J Butcher, Vince Calhoun, Linda E Campbell, Eva W C Chow, Simone Ciufolini, Michael C Craig, Benedicto Crespo-Farroco, Adam C Cunningham, Shareefa Dalvie, Eileen Daly, Paola Dazzan, Eco J C de Geus, Greig I de Zubicaray, Joanne L Doherty, Gary Donohoe, Mark Drakesmith, Thomas Espeseth, Vincent Frouin, Hugh Garavan, David C Glahn, Naomi J Goodrich-Hunsaker, Penny A Gowland, Hans J Grabe, Antoine Grigis, Maria Gudbrandsen, Boris A Gutman, Jan Haavik, Asta K Håberg, Jeremy Hall, Andreas Heinz, Sarah Hohmann, Jouke-Jan Hottenga, Sébastien Jacquemont, Neda Jahanshad, Rachel K Jonas, Derek K Jones, Erik G Jönsson, Sanne Koops, Kuldeep Kumar, Stephanie Le Hellard, Herve Lemaitre, Jingyu Liu, Astri J Lundervold, Jean-Luc Martinot, Karen A Mather, Donna M McDonald-McGinn, Katie L McMahon, Allan F McRae, Sarah E Medland, Clara A Moreau, Kieran C Murphy, Declan Murphy, Robin M Murray, Frauke Nees, Michael J Owen, Marie-Laure Paillère Martinot, Diimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Tiago Reis Marques, David R Roalf, Perminder S Sachdev, Freda Scheffler, J Eric Schmitt, Gunter Schumann, Vidar M Steen, Dan J Stein, Lachlan T Strike, Alexander Teumer, Anbupalam Thalamuthu, Sophia I Thomopoulos, Diana Tordesillas-Gutiérrez, Julian N Trollor, Anne Uhlmann, Ariana Vajdi, Dennis van 't Ent, Therese van Amelsvoort, Marianne B M van den Bree, Dennis van der Meer, Javier Vázquez-Bourgon, Julio E Villalón-Reina, Uwe Völker, Henry Völzke, Jacob A S Vorstman, Lars T Westlye, Nigel Williams, Katharina Wittfeld, Margaret J Wright, Paul M Thompson, Ole A Andreassen, David E J Linden
{"title":"Penetrance of neurodevelopmental copy number variants is associated with variations in cortical morphology.","authors":"Ana I Silva, Ida E Sønderby, George Kirov, Abdel Abdellaoui, Ingrid Agartz, David Ames, Nicola J Armstrong, Eric Artiges, Tobias Banaschewski, Anne S Bassett, Carrie E Bearden, John Blangero, Rune Boen, Dorret I Boomsma, Robin Bülow, Nancy J Butcher, Vince Calhoun, Linda E Campbell, Eva W C Chow, Simone Ciufolini, Michael C Craig, Benedicto Crespo-Farroco, Adam C Cunningham, Shareefa Dalvie, Eileen Daly, Paola Dazzan, Eco J C de Geus, Greig I de Zubicaray, Joanne L Doherty, Gary Donohoe, Mark Drakesmith, Thomas Espeseth, Vincent Frouin, Hugh Garavan, David C Glahn, Naomi J Goodrich-Hunsaker, Penny A Gowland, Hans J Grabe, Antoine Grigis, Maria Gudbrandsen, Boris A Gutman, Jan Haavik, Asta K Håberg, Jeremy Hall, Andreas Heinz, Sarah Hohmann, Jouke-Jan Hottenga, Sébastien Jacquemont, Neda Jahanshad, Rachel K Jonas, Derek K Jones, Erik G Jönsson, Sanne Koops, Kuldeep Kumar, Stephanie Le Hellard, Herve Lemaitre, Jingyu Liu, Astri J Lundervold, Jean-Luc Martinot, Karen A Mather, Donna M McDonald-McGinn, Katie L McMahon, Allan F McRae, Sarah E Medland, Clara A Moreau, Kieran C Murphy, Declan Murphy, Robin M Murray, Frauke Nees, Michael J Owen, Marie-Laure Paillère Martinot, Diimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Tiago Reis Marques, David R Roalf, Perminder S Sachdev, Freda Scheffler, J Eric Schmitt, Gunter Schumann, Vidar M Steen, Dan J Stein, Lachlan T Strike, Alexander Teumer, Anbupalam Thalamuthu, Sophia I Thomopoulos, Diana Tordesillas-Gutiérrez, Julian N Trollor, Anne Uhlmann, Ariana Vajdi, Dennis van 't Ent, Therese van Amelsvoort, Marianne B M van den Bree, Dennis van der Meer, Javier Vázquez-Bourgon, Julio E Villalón-Reina, Uwe Völker, Henry Völzke, Jacob A S Vorstman, Lars T Westlye, Nigel Williams, Katharina Wittfeld, Margaret J Wright, Paul M Thompson, Ole A Andreassen, David E J Linden","doi":"10.1016/j.bpsc.2025.05.010","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Copy number variants (CNVs) increase risk for neurodevelopmental conditions. The neurobiological mechanisms linking these high-risk genetic variants to clinical phenotypes are largely unknown. An important question is whether brain abnormalities in individuals carrying CNVs are associated with their degree of penetrance.</p><p><strong>Methods: </strong>We investigated if 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-CNV consortium. In the main analyses, we included 9,268 individuals (aged 7 to 90 years, 54% females), 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 non-carriers. CNV-penetrance was estimated through penetrance scores that were previously generated from large cohorts of patients and controls. These scores represent the probability risk to develop either schizophrenia or other developmental disorders (including developmental delay, autism spectrum disorder and congenital malformations).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological psychiatry. Cognitive neuroscience and neuroimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.bpsc.2025.05.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Copy number variants (CNVs) increase risk for neurodevelopmental conditions. The neurobiological mechanisms linking these high-risk genetic variants to clinical phenotypes are largely unknown. An important question is whether brain abnormalities in individuals carrying CNVs are associated with their degree of penetrance.
Methods: We investigated if 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-CNV consortium. In the main analyses, we included 9,268 individuals (aged 7 to 90 years, 54% females), 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 non-carriers. CNV-penetrance was estimated through penetrance scores that were previously generated from large cohorts of patients and controls. These scores represent the probability risk to develop 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.