Back

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.

2020-04-17 genetic and genomic medicine
10.1101/2020.04.15.20056531 medRxiv
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.

50% of probability mass above

"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.