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    Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept


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    Franke, Barbara, Stein, Jason L, Ripke, Stephan, Anttila, Verneri, Hibar, Derrek P, van Hulzen, Kimm J E, Arias-Vasquez, Alejandro, Smoller, Jordan W, Nichols, Thomas E, Neale, Michael C, McIntosh, Andrew M, Lee, Phil, McMahon, Francis J, Meyer-Lindenberg, Andreas, Mattheisen, Manuel, Andreassen, Ole A, Gruber, Oliver, Sachdev, Perminder S, Roiz-Santiañez, Roberto, Saykin, Andrew J, Ehrlich, Stefan, Mather, Karen A, Turner, Jessica A, Schwarz, Emanuel, Thalamuthu, Anbupalam, Yao, Yin, Ho, Yvonne Y W, Martin, Nicholas G, Wright, Margaret J, O'Donovan, Michael C, Thompson, Paul M, Neale, Benjamin M, Medland, Sarah E, Sullivan, Patrick F and Lopez, Lorna M. (2016) Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Neuroscience, 19 (3). pp. 420-431. ISSN 1546-1726

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    Abstract

    Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between schizophrenia cases and healthy individuals. As common genetic associations are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. The current study provides proof-of-concept (albeit based on a limited set of structural brain measures), and defines a roadmap for future studies investigating the genetic covariance between structural/functional brain phenotypes and risk for psychiatric disorders.
    Item Type: Article
    Additional Information: other authors and affiliations: ENIGMA2 consortium collaborators
    Keywords: schizophrenia; MRI; brain imaging; genetics; GWAS; meta-analysis; endophenotype;
    Academic Unit: Faculty of Science and Engineering > Biology
    Faculty of Science and Engineering > Research Institutes > Human Health Institute
    Item ID: 17222
    Identification Number: 10.1038/nn.4228
    Depositing User: Lorna Lopez
    Date Deposited: 24 May 2023 10:45
    Journal or Publication Title: Nature Neuroscience
    Publisher: Nature Research
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/17222
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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