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

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Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. / Schizophrenia Working Group of the Psychiatric Genomics Consortium.
In: Nature Reviews Neuroscience, Vol. 19, No. 3, 03.2016, p. 420-431.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Schizophrenia Working Group of the Psychiatric Genomics Consortium 2016, 'Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept', Nature Reviews Neuroscience, vol. 19, no. 3, pp. 420-431. https://doi.org/10.1038/nn.4228

APA

Schizophrenia Working Group of the Psychiatric Genomics Consortium (2016). Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Reviews Neuroscience, 19(3), 420-431. https://doi.org/10.1038/nn.4228

Vancouver

Schizophrenia Working Group of the Psychiatric Genomics Consortium. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Reviews Neuroscience. 2016 Mar;19(3):420-431. Epub 2016 Feb 1. doi: 10.1038/nn.4228

Author

Schizophrenia Working Group of the Psychiatric Genomics Consortium. / Genetic influences on schizophrenia and subcortical brain volumes : large-scale proof of concept. In: Nature Reviews Neuroscience. 2016 ; Vol. 19, No. 3. pp. 420-431.

Bibtex

@article{96d147cedf7f41639a2efdea64bea902,
title = "Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept",
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.",
author = "Barbara Franke and Stein, {Jason L.} and Stephan Ripke and Verneri Anttila and Hibar, {Derrek P.} and {van Hulzen}, {Kimm J. E.} and Alejandro Arias-Vasquez and Smoller, {Jordan W.} and Nichols, {Thomas E.} and Neale, {Michael C.} and McIntosh, {Andrew M.} and Phil Lee and McMahon, {Francis J.} and Andreas Meyer-Lindenberg and Manuel Mattheisen and Andreassen, {Ole A.} and Oliver Gruber and Sachdev, {Perminder S.} and Roberto Roiz-Santia{\~n}ez and Saykin, {Andrew J.} and Stefan Ehrlich and Mather, {Karen A.} and Turner, {Jessica A.} and Emanuel Schwarz and Anbupalam Thalamuthu and Yin Yao 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 Jo Knight and {Schizophrenia Working Group of the Psychiatric Genomics Consortium}",
note = "{\textcopyright} 2016 Macmillan Publishers Limited, part of Springer Nature.",
year = "2016",
month = mar,
doi = "10.1038/nn.4228",
language = "English",
volume = "19",
pages = "420--431",
journal = "Nature Reviews Neuroscience",
issn = "1471-003X",
publisher = "Nature Publishing Group",
number = "3",

}

RIS

TY - JOUR

T1 - Genetic influences on schizophrenia and subcortical brain volumes

T2 - large-scale proof of concept

AU - Franke, Barbara

AU - Stein, Jason L.

AU - Ripke, Stephan

AU - Anttila, Verneri

AU - Hibar, Derrek P.

AU - van Hulzen, Kimm J. E.

AU - Arias-Vasquez, Alejandro

AU - Smoller, Jordan W.

AU - Nichols, Thomas E.

AU - Neale, Michael C.

AU - McIntosh, Andrew M.

AU - Lee, Phil

AU - McMahon, Francis J.

AU - Meyer-Lindenberg, Andreas

AU - Mattheisen, Manuel

AU - Andreassen, Ole A.

AU - Gruber, Oliver

AU - Sachdev, Perminder S.

AU - Roiz-Santiañez, Roberto

AU - Saykin, Andrew J.

AU - Ehrlich, Stefan

AU - Mather, Karen A.

AU - Turner, Jessica A.

AU - Schwarz, Emanuel

AU - Thalamuthu, Anbupalam

AU - Yao, Yin

AU - Ho, Yvonne Y. W.

AU - Martin, Nicholas G.

AU - Wright, Margaret J.

AU - O'Donovan, Michael C.

AU - Thompson, Paul M.

AU - Neale, Benjamin M.

AU - Medland, Sarah E.

AU - Sullivan, Patrick F.

AU - Knight, Jo

AU - Schizophrenia Working Group of the Psychiatric Genomics Consortium

N1 - © 2016 Macmillan Publishers Limited, part of Springer Nature.

PY - 2016/3

Y1 - 2016/3

N2 - 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.

AB - 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.

U2 - 10.1038/nn.4228

DO - 10.1038/nn.4228

M3 - Journal article

C2 - 26854805

VL - 19

SP - 420

EP - 431

JO - Nature Reviews Neuroscience

JF - Nature Reviews Neuroscience

SN - 1471-003X

IS - 3

ER -