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Journal Article

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

MPS-Authors
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Guadalupe,  Tulio
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Fisher,  Simon E.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Francks,  Clyde
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Imaging Genomics, MPI for Psycholinguistics, Max Planck Society;

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Franke_etal_2016.pdf
(Publisher version), 1010KB

Supplementary Material (public)

Franke_etal_2016_supp1.pdf
(Supplementary material), 3MB

Citation

Franke, B., Stein, J. L., Ripke, S., Anttila, V., Hibar, D. P., Van Hulzen, K. J. E., et al. (2016). Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Neuroscience, 19, 420-431. doi:10.1038/nn.4228.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-0967-F
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