Subcortical Brain Alterations in Carriers of Genomic Copy Number Variants

Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structu...

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Published inThe American journal of psychiatry Vol. 180; no. 9; pp. 685 - 698
Main Authors Kumar, Kuldeep, Modenato, Claudia, Moreau, Clara, Ching, Christopher R.K., Harvey, Annabelle, Martin-Brevet, Sandra, Huguet, Guillaume, Jean-Louis, Martineau, Douard, Elise, Martin, Charles-Olivier, Younis, Nadine, Tamer, Petra, Maillard, Anne M., Rodriguez-Herreros, Borja, Pain, Aurélie, Kushan, Leila, Isaev, Dmitry, Alpert, Kathryn, Ragothaman, Anjani, Turner, Jessica A., Wang, Lei, Ho, Tiffany C., Schmaal, Lianne, Silva, Ana I., van den Bree, Marianne B.M., Linden, David E.J., Owen, Michael J., Hall, Jeremy, Lippé, Sarah, Dumas, Guillaume, Draganski, Bogdan, Gutman, Boris A., Sønderby, Ida E., Andreassen, Ole A., Schultz, Laura M., Almasy, Laura, Glahn, David C., Bearden, Carrie E., Thompson, Paul M., Jacquemont, Sébastien
Format Journal Article
LanguageEnglish
Published United States American Psychiatric Association 01.09.2023
Subjects
Online AccessGet full text
ISSN0002-953X
1535-7228
1535-7228
DOI10.1176/appi.ajp.20220304

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Abstract Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs. Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression. All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia. The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.
AbstractList Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs. Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression. All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia. The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.
Objective: Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs. Methods: Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6–80 years; 340 males) and 782 control subjects (age range, 6–80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression. Results: All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia. Conclusions: The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.
Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs.OBJECTIVECopy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs.Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression.METHODSSubcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression.All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia.RESULTSAll CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia.The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.CONCLUSIONSThe findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.
Author Ragothaman, Anjani
Glahn, David C.
Moreau, Clara
Ching, Christopher R.K.
Bearden, Carrie E.
Kushan, Leila
Dumas, Guillaume
Schultz, Laura M.
Gutman, Boris A.
Draganski, Bogdan
Rodriguez-Herreros, Borja
Linden, David E.J.
Ho, Tiffany C.
Harvey, Annabelle
Isaev, Dmitry
Thompson, Paul M.
Douard, Elise
Jacquemont, Sébastien
van den Bree, Marianne B.M.
Alpert, Kathryn
Younis, Nadine
Sønderby, Ida E.
Pain, Aurélie
Jean-Louis, Martineau
Huguet, Guillaume
Andreassen, Ole A.
Tamer, Petra
Martin-Brevet, Sandra
Schmaal, Lianne
Turner, Jessica A.
Lippé, Sarah
Maillard, Anne M.
Almasy, Laura
Hall, Jeremy
Kumar, Kuldeep
Wang, Lei
Martin, Charles-Olivier
Silva, Ana I.
Owen, Michael J.
Modenato, Claudia
AuthorAffiliation Centre de Recherche du CHU Sainte-Justine, University of Montreal, Montreal (Kumar, Harvey, Huguet, Jean-Louis, Douard, Martin, Younis, Tamer, Dumas, Jacquemont); Mila-Quebec AI Institute, University of Montreal, Montreal (Dumas); Laboratoire de Recherche en Neuroimagerie, Department of Clinical Neurosciences (Modenato, Martin-Brevet, Lippé, Draganski), and Service des Troubles du Spectre de l'Autisme et Apparentés (Maillard, Rodriguez-Herreros, Pain), Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Human Genetics and Cognitive Functions, Institut Pasteur, and Université de Paris, CNRS UMR 3571, Paris (Moreau); Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles (Kushan, Bearden); School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (Silva, Linden); Centre for Neuropsychiatric Genetics and Genomics (Silva, van den B
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– name: 27 Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
– name: 6 School for Mental Health and Neuroscience, Maastricht University, Netherlands
– name: 28 Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
– name: 17 Department of Genetics, University of Pennsylvania, PA, USA
– name: 20 Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
– name: 15 Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, PA, USA
– name: 2 LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
– name: 13 Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
– name: 22 Psychology & Neuroscience, Georgia State University, Atlanta, Georgia, USA
– name: 18 Harvard Medical School, Department of Psychiatry, 25 Shattuck St, Boston, MA 02115, USA
– name: 4 Institut Pasteur, Université de Paris, CNRS UMR 3571, Human Genetics and Cognitive Functions, 25 rue du Dr. Roux, Paris, France
– name: 25 Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
– name: 7 MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
– name: 8 Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
– name: 23 Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
– name: 1 Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
– name: 16 Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, PA, USA
– name: 31 KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
– name: 29 NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
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– name: 24 Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
– name: 5 Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
– name: 30 Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
– name: 9 Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
– name: 32 Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
– name: 26 Department of Psychology, Stanford University, Stanford, CA USA
– name: 3 Service des Troubles du Spectre de l’Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
– name: 14 Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
– name: 19 Boston Children’s Hospital, Tommy Fuss Center for Neuropsychiatric Disease Research, 300 Longwood Avenue, Boston, MA 02115, USA
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  surname: Kumar
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  givenname: Sandra
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  givenname: Dmitry
  surname: Isaev
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  givenname: Kathryn
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Neuroimaging
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Schizophrenia Spectrum and Other Psychotic Disorders
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Data collection: C.Mod., A.M., B.R-H., A.P., S.R., and S.M-B. recruited and scanned participants in the 16p11.2 European Consortium. S.L., C.O.M., N.Y., P.T., E.D., F. T-D., V.C., A.R.C., F.D. recruited and scanned participants in the Brain Canada cohort. L.K., C.E.B collected and provided the data for the UCLA cohort. D.E.J.L., M.J.O., M.B.M. V.d.B., J.H. and A.I.S., provided the data for the Cardiff cohort.
All authors provided feedback on the manuscript.
Analyses: C.Mod. and C.C. performed all the preprocessing. K.K. and C.Mod. performed all the analyses of neuroimaging data. G.D. contributed to normative modeling. B.G. contributed to shape analysis. C.C, C.Mor., P.M.T., and C.E.B. contributed to result interpretation and in the editing of the manuscript.
C.Mod., K.K., C.C, P.M.T., C.E.B., and S.J. designed the study, analyzed imaging data, and drafted the manuscript.
These authors contributed equally
Author contributions
OpenAccessLink https://cris.maastrichtuniversity.nl/en/publications/03b8ae68-a238-485b-8f9f-e2f9c7b4615b
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PublicationTitle The American journal of psychiatry
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Publisher American Psychiatric Association
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Snippet Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism...
Objective: Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs),...
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SubjectTerms Adolescent
Adult
Aged
Aged, 80 and over
Amygdala
Attention Deficit Disorder with Hyperactivity - genetics
Attention deficit hyperactivity disorder
Autism
Brain - diagnostic imaging
Child
DNA Copy Number Variations - genetics
Genomics
Humans
Male
Mental disorders
Middle Aged
Risk factors
Schizophrenia
Schizophrenia - genetics
Young Adult
Title Subcortical Brain Alterations in Carriers of Genomic Copy Number Variants
URI https://www.ncbi.nlm.nih.gov/pubmed/37434504
https://www.proquest.com/docview/2860831758
https://www.proquest.com/docview/2836298900
https://pubmed.ncbi.nlm.nih.gov/PMC10885337
Volume 180
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