Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders.
Journal: Molecular psychiatry
Volume: 26
Issue: 6
Year of Publication: 2021
Affiliated Institutions:
Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA.
Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.
Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
NORMENT-Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway.
Radboudumc, Radboud University Medical Center, Nijmegen, The Netherlands.
Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina Del Rey, CA, USA.
Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
Imaging Genetics Center, Department of Neurology and Biomedical Engineering, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina Del Rey, CA, USA.
Department of Psychiatry, Center for Multimodal Imaging and Genetics (CMIG), University of California, San Diego, CA, USA.
Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
UCL Queen Square Institute of Neurology, Department of Clinical and Experimental Epilepsy, University College London, London, UK.
SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
Department of Psychiatry and Department of Anatomy & Neurosciences, Amsterdam UMC/VUmc, Amsterdam, The Netherlands.
Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
Donders Centre for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Neuro Imaging Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Marina Del Rey, CA, USA.
Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA. sfaraone@childpsychresearch.org.
Abstract summary
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.
Authors & Co-authors:
Radonjić Nevena V NV
Hess Jonathan L JL
Rovira Paula P
Andreassen Ole O
Buitelaar Jan K JK
Ching Christopher R K CRK
Franke Barbara B
Hoogman Martine M
Jahanshad Neda N
McDonald Carrie C
Schmaal Lianne L
Sisodiya Sanjay M SM
Stein Dan J DJ
van den Heuvel Odile A OA
van Erp Theo G M TGM
van Rooij Daan D
Veltman Dick J DJ
Thompson Paul P
Faraone Stephen V SV
Study Outcome
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