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.JE; 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.; Schizophrenia Working Group of the Psychiatric Genomics Consortium; Enigma Consortium; Cairns, Murray J.; Henskens, Frans A.; Kelly, Brian J.; Loughland, Carmel M.; Michie, Patricia T.; Schall, Ulli; Scott, Rodney J.; Tooney, Paul A.; Wu, Jing Qin; Hansen, Mitchell; Lee, Steve; Liu, Xiaochun

Title: Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
Creator: Franke, Barbara; Stein, Jason L.; Ripke, Stephan; Anttila, Verneri; Hibar, Derrek P.; van Hulzen, Kimm J. E.JE; 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.; Schizophrenia Working Group of the Psychiatric Genomics Consortium; Enigma Consortium; Cairns, Murray J.; Henskens, Frans A.; Kelly, Brian J.; Loughland, Carmel M.; Michie, Patricia T.; Schall, Ulli; Scott, Rodney J.; Tooney, Paul A.; Wu, Jing Qin; Hansen, Mitchell; Lee, Steve; Liu, Xiaochun
Relation: Nature Neuroscience Vol. 19, Issue 3, p. 420-431
Publisher Link: http://dx.doi.org/10.1038/nn.4228
Resource Type: journal article
Date: 2016
Description: 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.
Subject: genetic markers; genome-wide association studies; magnetic resonance imaging; schizophrenia
Identifier: http://hdl.handle.net/1959.13/1344135
Identifier: uon:29335
Identifier: ISSN:1097-6256
Language: eng
Reviewed

Hits: 35006
Visitors: 34911
Downloads: 1

		Thumbnail	File	Description	Size	Format