Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof-of-concept and roadmap for future studies

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Author
Franke, Barbara
Stein, Jason L
Anttila, Verneri
Hibar, Derrek P
van Hulzen, Kimm J E
Arias-Vasquez, Alejandro
Nichols, Thomas E
Neale, Michael C
McIntosh, Andrew M
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
Shugart, Yin Yao
Ho, Yvonne YW
Martin, Nicholas G
Wright, Margaret J
O'Donovan, Michael C
Thompson, Paul M
Medland, Sarah E
Sullivan, Patrick F
Note: Order does not necessarily reflect citation order of authors.
Published Version
https://doi.org/10.1038/nn.4228Metadata
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Franke, B., J. L. Stein, S. Ripke, V. Anttila, D. P. Hibar, K. J. E. van Hulzen, A. Arias-Vasquez, et al. 2016. “Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof-of-concept and roadmap for future studies.” Nature neuroscience 19 (3): 420-431. doi:10.1038/nn.4228. http://dx.doi.org/10.1038/nn.4228.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.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852730/pdf/Terms of Use
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