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The genetic relationships between brain structure and schizophrenia
Genetic risks for schizophrenia are theoretically mediated by genetic effects on brain structure but it has been unclear which genes are associated with both schizophrenia and cortical phenotypes. We accessed genome-wide association studies (GWAS) of schizophrenia (N = 69,369 cases; 236,642 controls...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684873/ https://www.ncbi.nlm.nih.gov/pubmed/38016951 http://dx.doi.org/10.1038/s41467-023-43567-7 |
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author | Stauffer, Eva-Maria Bethlehem, Richard A. I. Dorfschmidt, Lena Won, Hyejung Warrier, Varun Bullmore, Edward T. |
author_facet | Stauffer, Eva-Maria Bethlehem, Richard A. I. Dorfschmidt, Lena Won, Hyejung Warrier, Varun Bullmore, Edward T. |
author_sort | Stauffer, Eva-Maria |
collection | PubMed |
description | Genetic risks for schizophrenia are theoretically mediated by genetic effects on brain structure but it has been unclear which genes are associated with both schizophrenia and cortical phenotypes. We accessed genome-wide association studies (GWAS) of schizophrenia (N = 69,369 cases; 236,642 controls), and of three magnetic resonance imaging (MRI) metrics (surface area, cortical thickness, neurite density index) measured at 180 cortical areas (N = 36,843, UK Biobank). Using Hi-C-coupled MAGMA, 61 genes were significantly associated with both schizophrenia and one or more MRI metrics. Whole genome analysis with partial least squares demonstrated significant genetic covariation between schizophrenia and area or thickness of most cortical regions. Genetic similarity between cortical areas was strongly coupled to their phenotypic covariance, and genetic covariation between schizophrenia and brain phenotypes was strongest in the hubs of structural covariance networks. Pleiotropically associated genes were enriched for neurodevelopmental processes and positionally concentrated in chromosomes 3p21, 17q21 and 11p11. Mendelian randomization analysis indicated that genetically determined variation in a posterior cingulate cortical area could be causal for schizophrenia. Parallel analyses of GWAS on bipolar disorder, Alzheimer’s disease and height showed that pleiotropic association with MRI metrics was stronger for schizophrenia compared to other disorders. |
format | Online Article Text |
id | pubmed-10684873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106848732023-11-30 The genetic relationships between brain structure and schizophrenia Stauffer, Eva-Maria Bethlehem, Richard A. I. Dorfschmidt, Lena Won, Hyejung Warrier, Varun Bullmore, Edward T. Nat Commun Article Genetic risks for schizophrenia are theoretically mediated by genetic effects on brain structure but it has been unclear which genes are associated with both schizophrenia and cortical phenotypes. We accessed genome-wide association studies (GWAS) of schizophrenia (N = 69,369 cases; 236,642 controls), and of three magnetic resonance imaging (MRI) metrics (surface area, cortical thickness, neurite density index) measured at 180 cortical areas (N = 36,843, UK Biobank). Using Hi-C-coupled MAGMA, 61 genes were significantly associated with both schizophrenia and one or more MRI metrics. Whole genome analysis with partial least squares demonstrated significant genetic covariation between schizophrenia and area or thickness of most cortical regions. Genetic similarity between cortical areas was strongly coupled to their phenotypic covariance, and genetic covariation between schizophrenia and brain phenotypes was strongest in the hubs of structural covariance networks. Pleiotropically associated genes were enriched for neurodevelopmental processes and positionally concentrated in chromosomes 3p21, 17q21 and 11p11. Mendelian randomization analysis indicated that genetically determined variation in a posterior cingulate cortical area could be causal for schizophrenia. Parallel analyses of GWAS on bipolar disorder, Alzheimer’s disease and height showed that pleiotropic association with MRI metrics was stronger for schizophrenia compared to other disorders. Nature Publishing Group UK 2023-11-28 /pmc/articles/PMC10684873/ /pubmed/38016951 http://dx.doi.org/10.1038/s41467-023-43567-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Stauffer, Eva-Maria Bethlehem, Richard A. I. Dorfschmidt, Lena Won, Hyejung Warrier, Varun Bullmore, Edward T. The genetic relationships between brain structure and schizophrenia |
title | The genetic relationships between brain structure and schizophrenia |
title_full | The genetic relationships between brain structure and schizophrenia |
title_fullStr | The genetic relationships between brain structure and schizophrenia |
title_full_unstemmed | The genetic relationships between brain structure and schizophrenia |
title_short | The genetic relationships between brain structure and schizophrenia |
title_sort | genetic relationships between brain structure and schizophrenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684873/ https://www.ncbi.nlm.nih.gov/pubmed/38016951 http://dx.doi.org/10.1038/s41467-023-43567-7 |
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