Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11
Psychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes. Although the neurodevelopmental antecedents of mental illness are widely acknowledged, research in youth population cohorts is still scarce, pre...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922007261 |
| _version_ | 1828306210169815040 |
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| author | Sara Fernandez-Cabello Dag Alnæs Dennis van der Meer Andreas Dahl Madelene Holm Rikka Kjelkenes Ivan I. Maximov Linn B. Norbom Mads L. Pedersen Irene Voldsbekk Ole A. Andreassen Lars T. Westlye |
| author_facet | Sara Fernandez-Cabello Dag Alnæs Dennis van der Meer Andreas Dahl Madelene Holm Rikka Kjelkenes Ivan I. Maximov Linn B. Norbom Mads L. Pedersen Irene Voldsbekk Ole A. Andreassen Lars T. Westlye |
| author_sort | Sara Fernandez-Cabello |
| collection | DOAJ |
| description | Psychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes. Although the neurodevelopmental antecedents of mental illness are widely acknowledged, research in youth population cohorts is still scarce, preventing our progress towards the early characterization of these disorders. We included 7,124 children (9–11 years old) from the Adolescent Brain and Cognitive Development Study to map the associations of structural and diffusion brain imaging with common genetic variants and polygenic scores for psychiatric disorders and educational attainment. We used principal component analysis to derive imaging components, and calculated their heritability. We then assessed the relationship of imaging components with genetic and clinical psychiatric risk with univariate models and Canonical correlation analysis (CCA). Most imaging components had moderate heritability. Univariate models showed limited evidence and small associations of polygenic scores with brain structure at this age. CCA revealed two significant modes of covariation. The first mode linked higher polygenic scores for educational attainment with less externalizing problems and larger surface area. The second mode related higher polygenic scores for schizophrenia, bipolar disorder, and autism spectrum disorder to higher global cortical thickness, smaller white matter volumes of the fornix and cingulum, larger medial occipital surface area and smaller surface area of lateral and medial temporal regions. While cross-validation suggested limited generalizability, our results highlight the potential of multivariate models to better understand the transdiagnostic and distributed relationships between mental health and brain structure in late childhood. |
| first_indexed | 2024-04-13T14:41:55Z |
| format | Article |
| id | doaj.art-e0116afea3e6456caabe3de331ba7a43 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-13T14:41:55Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-e0116afea3e6456caabe3de331ba7a432022-12-22T02:42:53ZengElsevierNeuroImage1095-95722022-11-01263119611Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11Sara Fernandez-Cabello0Dag Alnæs1Dennis van der Meer2Andreas Dahl3Madelene Holm4Rikka Kjelkenes5Ivan I. Maximov6Linn B. Norbom7Mads L. Pedersen8Irene Voldsbekk9Ole A. Andreassen10Lars T. Westlye11NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; Corresponding author: Sara Fernandez-Cabello, NORMENT, Oslo University Hospital HF, Ullevål Hospital Building 48, Kirkeveien 116, Oslo, Norway.Kristiania University College, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the NetherlandsNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayDepartment of Health and Functioning, Western Norway University of Applied Sciences, Bergen, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, NorwayNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, NorwayPsychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes. Although the neurodevelopmental antecedents of mental illness are widely acknowledged, research in youth population cohorts is still scarce, preventing our progress towards the early characterization of these disorders. We included 7,124 children (9–11 years old) from the Adolescent Brain and Cognitive Development Study to map the associations of structural and diffusion brain imaging with common genetic variants and polygenic scores for psychiatric disorders and educational attainment. We used principal component analysis to derive imaging components, and calculated their heritability. We then assessed the relationship of imaging components with genetic and clinical psychiatric risk with univariate models and Canonical correlation analysis (CCA). Most imaging components had moderate heritability. Univariate models showed limited evidence and small associations of polygenic scores with brain structure at this age. CCA revealed two significant modes of covariation. The first mode linked higher polygenic scores for educational attainment with less externalizing problems and larger surface area. The second mode related higher polygenic scores for schizophrenia, bipolar disorder, and autism spectrum disorder to higher global cortical thickness, smaller white matter volumes of the fornix and cingulum, larger medial occipital surface area and smaller surface area of lateral and medial temporal regions. While cross-validation suggested limited generalizability, our results highlight the potential of multivariate models to better understand the transdiagnostic and distributed relationships between mental health and brain structure in late childhood.http://www.sciencedirect.com/science/article/pii/S1053811922007261Imaging geneticsDevelopmentMultimodalPolygenic risk |
| spellingShingle | Sara Fernandez-Cabello Dag Alnæs Dennis van der Meer Andreas Dahl Madelene Holm Rikka Kjelkenes Ivan I. Maximov Linn B. Norbom Mads L. Pedersen Irene Voldsbekk Ole A. Andreassen Lars T. Westlye Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 NeuroImage Imaging genetics Development Multimodal Polygenic risk |
| title | Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 |
| title_full | Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 |
| title_fullStr | Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 |
| title_full_unstemmed | Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 |
| title_short | Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 |
| title_sort | associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9 11 |
| topic | Imaging genetics Development Multimodal Polygenic risk |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922007261 |
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