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dc.contributor.authorRadonjić, Nevena V.
dc.contributor.authorHess, Jonathan L.
dc.contributor.authorRovira, Paula
dc.contributor.authorAndreassen, Ole
dc.contributor.authorBuitelaar, Jan K.
dc.contributor.authorChing, Christopher R. K.
dc.contributor.authorFranke, Barbara
dc.contributor.authorHoogman, Martine
dc.contributor.authorJahanshad, Neda
dc.contributor.authorMcDonald, Carrie
dc.contributor.authorSchmaal, Lianne
dc.contributor.authorSisodiya, Sanjay M.
dc.contributor.authorStein, Dan J.
dc.contributor.authorvan den Heuvel, Odile A.
dc.contributor.authorvan Erp, Theo G.M.
dc.contributor.authorvan Rooij, Daan
dc.contributor.authorVeltman, Dick J.
dc.contributor.authorThompson, Paul
dc.contributor.authorFaraone, Stephen V.
dc.date.accessioned2021-07-06T19:57:37Z
dc.date.available2021-07-06T19:57:37Z
dc.date.issued2019-10-17
dc.identifier.doi10.1101/809582
dc.identifier.urihttp://hdl.handle.net/20.500.12648/1813
dc.description.abstractGenomewide association studies have found significant genetic correlations among many neuropsychiatric disorders. In contrast, we know much less about the degree to which structural brain alterations are similar among disorders and, if so, the degree to which such similarities have a genetic etiology. From the Enhancing Neuroimaging Genetics through Meta- Analysis (ENIGMA) consortium, we acquired standardized mean differences (SMDs) in regional brain volume and cortical thickness between cases and controls. We had data on 41 brain regions for: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), epilepsy, major depressive disorder (MDD), obsessive compulsive disorder (OCD), and schizophrenia (SCZ). These data had been derived from 24,360 patients and 37,425 controls. The SMDs were significantly correlated between SCZ and BD, OCD, MDD, and ASD. MDD was positively correlated with BD and OCD. BD was positively correlated with OCD and negatively correlated with ADHD. These pairwise correlations among disorders were correlated with the corresponding pairwise correlations among disorders derived from genomewide association studies (r = 0.494). Our results show substantial similarities in sMRI phenotypes among neuropsychiatric disorders and suggest that these similarities are accounted for, in part, by corresponding similarities in common genetic variant architectures.en_US
dc.publisherCold Spring Harbor Laboratoryen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleStructural Brain Imaging Studies Offer Clues about the Effects of the Shared Genetic Etiology among Neuropsychiatric Disordersen_US
dc.typeArticleen_US
dc.description.versionVoRen_US
refterms.dateFOA2020-06-20T00:00:00Z
dc.description.institutionUpstate Medical Universityen_US
dc.description.departmentPsychiatryen_US
dc.description.degreelevelN/Aen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International