AI Article Synopsis

  • 22q11.2 deletion syndrome (22q11DS) is caused by a genetic deletion affecting 46 genes, leading to significant brain structure changes, although the specific genetic processes are still unclear.
  • A study comparing 232 individuals with 22q11DS to 290 healthy individuals revealed reduced surface area in certain brain regions and increased cortical thickness in others, with particular genes like DGCR8 and AIFM3 linked to these changes.
  • The research highlights the value of integrating brain anatomy and gene expression data to better understand the complex genetic influences on brain development in 22q11DS.

Article Abstract

22q11.2 deletion syndrome (22q11DS) results from a hemizygous deletion that typically spans 46 protein-coding genes and is associated with widespread alterations in brain morphology. The specific genetic mechanisms underlying these alterations remain unclear. In the 22q11.2 ENIGMA Working Group, we characterized cortical alterations in individuals with 22q11DS (n = 232) versus healthy individuals (n = 290) and conducted spatial convergence analyses using gene expression data from the Allen Human Brain Atlas to prioritize individual genes that may contribute to altered surface area (SA) and cortical thickness (CT) in 22q11DS. Total SA was reduced in 22q11DS (Z-score deviance = -1.04), with prominent reductions in midline posterior and lateral association regions. Mean CT was thicker in 22q11DS (Z-score deviance = +0.64), with focal thinning in a subset of regions. Regional expression of DGCR8 was robustly associated with regional severity of SA deviance in 22q11DS; AIFM3 was also associated with SA deviance. Conversely, P2RX6 was associated with CT deviance. Exploratory analysis of gene targets of microRNAs previously identified as down-regulated due to DGCR8 deficiency suggested that DGCR8 haploinsufficiency may contribute to altered corticogenesis in 22q11DS by disrupting cell cycle modulation. These findings demonstrate the utility of combining neuroanatomic and transcriptomic datasets to derive molecular insights into complex, multigene copy number variants.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196250PMC
http://dx.doi.org/10.1093/cercor/bhab008DOI Listing

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