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Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders

Psychology

Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders

N. V. Radonjić, J. L. Hess, et al.

Discover groundbreaking insights from a study conducted by Nevena V. Radonjić and colleagues, revealing significant genetic correlations among various neuropsychiatric disorders through structural brain imaging. This research uncovers a shared genetic etiology connected to brain structure, enhancing our understanding of disorders such as ADHD, ASD, and SCZ.

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~3 min • Beginner • English
Abstract
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.
Publisher
Springer Nature
Published On
Jan 17, 2021
Authors
Nevena V. Radonjić, Jonathan L. Hess, Paula Rovira, Ole Andreassen, Jan K. Buitelaar, Christopher R. K. Ching, Barbara Franke, Martine Hoogman, Neda Jahanshad, Carrie McDonald, Lianne Schmaal, Sanjay M. Sisodiya, Dan J. Stein, Odile A. van den Heuvel, Theo G. M. van Erp, Daan van Rooij, Dick J. Veltman, Paul Thompson, Stephen V. Faraone
Tags
neuropsychiatric disorders
genetic correlations
structural brain alterations
MRI phenotypes
brain volume
cortical thickness
ENIGMA consortium
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