TY - JOUR
T1 - Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders
AU - Radonjić, Nevena V.
AU - Hess, Jonathan L.
AU - Rovira, Paula
AU - Andreassen, Ole
AU - Buitelaar, Jan K.
AU - Ching, Christopher R. K.
AU - Franke, Barbara
AU - Hoogman, Martine
AU - Jahanshad, Neda
AU - McDonald, Carrie
AU - Schmaal, Lianne
AU - Sisodiya, Sanjay M.
AU - Stein, Dan J.
AU - van den Heuvel, Odile A.
AU - van Erp, Theo G. M.
AU - van Rooij, Daan
AU - Veltman, Dick J.
AU - Thompson, Paul
AU - Faraone, Stephen V.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85100022996&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/33456050
U2 - 10.1038/s41380-020-01002-z
DO - 10.1038/s41380-020-01002-z
M3 - Article
C2 - 33456050
AN - SCOPUS:85100022996
VL - 26
SP - 2101
EP - 2110
JO - Molecular Psychiatry
JF - Molecular Psychiatry
SN - 1359-4184
IS - 6
ER -