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

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, Ripke, Stephan, Neale, Benjamin M, Corvin, Aiden, Walters, James Tynan Rhys, Farh, Kai-How, Holmans, Peter Alan, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, 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M, Medland, Sarah E, O'Donovan, Michael Conlon, Thompson, Paul M, Neale, Benjamin M, Medland, Sarah E and Sullivan, Patrick F 2016. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Neuroscience 19 (3) , pp. 420-431. 10.1038/nn.4228

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Abstract

Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between people with schizophrenia 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. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Subjects: R Medicine > R Medicine (General)
Additional Information: Schizophrenia Working Group of the Psychiatric Genomics Consortium, Enigma Consortium
Publisher: Nature Publishing Group
ISSN: 1097-6256
Date of Acceptance: 22 December 2015
Last Modified: 21 Jan 2021 11:01
URI: http://orca-mwe.cf.ac.uk/id/eprint/90093

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