Franke, Barbara and Stein, Jason L and Ripke, Stephan and Anttila, Verneri and Hibar, Derrek P and van Hulzen, Kimm J E and Arias-Vasquez, Alejandro and Smoller, Jordan W and Nichols, Thomas E and Neale, Michael C and McIntosh, Andrew M and Lee, Phil and McMahon, Francis J and Meyer-Lindenberg, Andreas and Mattheisen, Manuel and Andreassen, Ole A and Gruber, Oliver and Sachdev, Perminder S and Roiz-Santiañez, Roberto and Saykin, Andrew J and Ehrlich, Stefan and Mather, Karen A and Turner, Jessica A and Schwarz, Emanuel and Thalamuthu, Anbupalam and Yao, Yin and Ho, Yvonne Y W and Martin, Nicholas G and Wright, Margaret J and O'Donovan, Michael C and Thompson, Paul M and Neale, Benjamin M and Medland, Sarah E and 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:	https://doi.org/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
URI:	Publisher
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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