Neuropsychiatric copy number variants exert shared effects on human brain structure
Claudia ModenatoiD, Kuldeep KumariD, Clara A. MoreauiD, Sandra Martin‐BrevetiD, Guillaume HuguetiD, Catherine SchrammiD, Martineau Jean‐LouisiD, Charles-Olivier MartiniD, Nadine Younis, Petra TameriD, Elise A. DouardiD, Fanny Thébault‐DagheriD, Valérie CôtéiD, Audrey-Rose Charlebois-PoirieriD, Florence DeguireiD, Anne Manuela MaillardiD, Borja Rodríguez‐HerrerosiD, Aurélie Pain, Sonia Richetin, Leila KushaniD, Lester Melie‐GarcíaiD, Ana Isabel SilvaiD, Marianne B. M. van den BreeiD, David E.J. LindeniD, Michael John OweniD, , Sébastien JacquemontiD
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.
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