Neuropsychiatric copy number variants exert shared effects on human brain structure
Modenato, C.; Kumar, K.; Moreau, C.; Martin-Brevet, S.; Huguet, G.; Schramm, C.; Martineau, J.-L.; Martin, C.-O.; Younis, N.; Tamer, P.; Douard, E. A.; Thebault-Dagher, F.; Cote, V.; Charlebois, A.-R.; Deguire, F.; Maillard, A. M.; Rodriguez-Herreros, B.; Pain, A.; Richetin, S.; 16p11.2 European Consortium, ; Simons Variation in Individuals Project (VIP) Consortium, ; Kushan, L.; Melie-Garcia, L.; van den Bree, M. B. M.; Linden, D. E. J.; Owen, M. J.; Hall, J.; Lippe, S.; Chakravarty, M.; Bzdok, D.; Bearden, C. E.; Draganski, B.; Jacquemont, S.
Show abstract
BackgroundCopy Number Variants (CNVs) associated with autism and schizophrenia have large effects on brain anatomy. Yet, neuroimaging studies have been conducted one mutation at a time. We hypothesize that neuropsychiatric CNVs may exert general effects on brain morphometry because they confer risk for overlapping psychiatric conditions. MethodsWe analyzed T1-weighted MRIs and characterized shared patterns on brain anatomy across 8 neuropsychiatric CNVs. Clinically ascertained samples included 1q21.1 (n=48), 16p11.2 (n=156), or 22q11.2 (n=96) and 331 non-carriers. Non-clinically ascertained samples from the UK Biobank included 1q21.1 (n=19), 16p11.2 (n=8), 22q11.2 (n=9), 15q11.2 (n=148) and 965 non-carriers. Canonical correlation analysis (CCA) and univariate models were used to interrogate brain morphometry changes across 8 CNVs. ResultsEight CNVs affect regional brain volumes along two main gene-morphometry dimensions identified by CCA. While fronto-temporal regions contributed to dimension 1, dimension 2 was driven by subcortical, parietal and occipital regions. Consistently, voxel-wise whole-brain analyses identified the same regions involved in patterns of alteration present across the 4 deletions and duplications. These neuroanatomical patterns are similar to those observed in cross-psychiatric disorder meta-analyses. Deletions and duplications at all 4 loci show mirror effects at either the global and/or the regional level. ConclusionNeuropsychiatric CNVs share neuroanatomical signatures characterized by a parsimonious set of brain dimensions. The latter may underlie the risk conferred by CNVs for a similar spectrum of neuropsychiatric conditions.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cross-disorder comparison of Brain Structures among 4,842 Individuals with Mental Disorders and Controls utilizing Danish population-based Clinical MRI Scans 95%
- Structural Brain Imaging Studies Offer Clues about the Effects of the Shared Genetic Etiology among Neuropsychiatric Disorders 94%
- Transcriptomic networks implicate neuronal energetic abnormalities in three mouse models harboring autism and schizophrenia-associated mutations 94%
Similar papers in this journal
- Psychotic-like experiences, polygenic risk scores for schizophrenia and structural properties of the salience, default mode and central-executive networks in healthy participants from UK Biobank 94%
- Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure 93%
- Genetic liability to major psychiatric disorders contributes to multi-faceted quality of life outcomes in children and adults 92%
Similar papers in this journal
- Genetic susceptibility to neurodevelopmental conditions associates with neonatal DNA methylation patterns in the general population: an individual participant data meta-analysis. 94%
- The general impact of haploinsufficiency on brain connectivity underlies the pleiotropic effect of neuropsychiatric CNVs 94%
- Predicting cognitive and mental health traits and their polygenic architecture using large-scale brain connectomics 93%
Similar papers in this journal
- Analysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets 94%
- The p factor: Genetic analyses support a general dimension of psychopathology in childhood and adolescence 92%
- Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes 92%
Similar papers in this journal
- Integrating HiTOP and RDoC Frameworks Part II: Shared and Distinct Biological Mechanisms of Externalizing and Internalizing Psychopathology 93%
- Associations Between Polygenic Scores for Cognitive and Non-cognitive Factors of Educational Attainment and Measures of Behavior, Psychopathology, and Neuroimaging in the Adolescent Brain Cognitive Development Study 92%
- A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.