Web of Science: 41 citas, Scopus: 46 citas, Google Scholar: citas,
Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders
Radonjić, Nevena V. (SUNY Upstate Medical University. Department of Psychiatry)
Hess, Jonathan L. (SUNY Upstate Medical University. Departments of Psychiatry and of Neuroscience and Physiology)
Rovira, Paula (Hospital Universitari Vall d'Hebron)
Andreassen, Ole A. (University of Oslo. NORMENT-Institute of Clinical Medicine)
Buitelaar, Jan (Radboud University Medical Center. Department of Cognitive Neuroscience)
Ching, Christopher R. K. (University of Southern California. Imaging Genetics Center)
Franke, Barbara (Radboud University Medical Center. Department of Psychiatry)
Hoogman, Martine (Radboud University Medical Center. Department of Human Genetics)
Jahanshad, Neda (University of Southern California. Department of Neurology and Biomedical Engineering)
McDonald, Carrie (University of California. Department of Psychiatry)
Schmaal, Lianne (The National Centre of Excellence for Youth Mental Health. Orygen)
Sisodiya, Sanjay M. (Epilepsy Society. Chalfont Centre for Epilepsy)
Stein, Dan J. (University of Cape Town. Department of Psychiatry)
van den Heuvel, Odile A. (Amsterdam UMC. Department of Psychiatry)
van Erp, Theo G. M. (University of California Irvine. Center for the Neurobiology of Learning and Memory)
van Rooij, Daan (Radboud University Medical Center. Donders Centre for Cognitive Neuroimaging)
Veltman, Dick J. (Amsterdam UMC. Department of Psychiatry)
Thompson, Paul (University of Southern California. Neuro Imaging Institute for Neuroimaging and Informatics)
Faraone, Stephen V. (SUNY Upstate Medical University. Departments of Psychiatry and of Neuroscience and Physiology)
Universitat Autònoma de Barcelona

Fecha: 2021
Resumen: Genomewide 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.
Ayudas: European Commission 602805
European Commission. Horizon 2020 667302
European Commission. Horizon 2020 728018
European Commission. Horizon 2020 667302
Agència de Gestió d'Ajuts Universitaris i de Recerca 2016FI_B 00899
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Lengua: Anglès
Documento: Article ; recerca ; Versió publicada
Materia: Genetics ; Diseases
Publicado en: Molecular psychiatry, Vol. 26 (june 2021) , p. 2101-2110, ISSN 1476-5578

DOI: 10.1038/s41380-020-01002-z
PMID: 33456050


10 p, 1.6 MB

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