Age-Dependent Brain Gene Expression and Copy Number Anomalies in Autism Suggest Distinct Pathological Processes at Young Versus Mature Ages

Maggie Chow(University of California San Diego), Tiziano Pramparo(University of California, San Francisco), Mary E. Winn(Scripps Research Institute), Cynthia Carter Barnes(University of California San Diego), Hai-Ri Li(University of California San Diego), Lauren A. Weiss(University of California, San Francisco), Jian-Bing Fan(Illumina (United States)), Sarah S. Murray(Scripps Research Institute), Craig April(Illumina (United States)), Haim Belinson(University of California, San Francisco), Xiang-Dong Fu(University of California San Diego), Anthony Wynshaw‐Boris(University of California, San Francisco), Nicholas J. Schork(Scripps Research Institute), Eric Courchesne(University of California San Diego)
PLoS Genetics
March 22, 2012
Cited by 205Open Access
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Abstract

Autism is a highly heritable neurodevelopmental disorder, yet the genetic underpinnings of the disorder are largely unknown. Aberrant brain overgrowth is a well-replicated observation in the autism literature; but association, linkage, and expression studies have not identified genetic factors that explain this trajectory. Few studies have had sufficient statistical power to investigate whole-genome gene expression and genotypic variation in the autistic brain, especially in regions that display the greatest growth abnormality. Previous functional genomic studies have identified possible alterations in transcript levels of genes related to neurodevelopment and immune function. Thus, there is a need for genetic studies involving key brain regions to replicate these findings and solidify the role of particular functional pathways in autism pathogenesis. We therefore sought to identify abnormal brain gene expression patterns via whole-genome analysis of mRNA levels and copy number variations (CNVs) in autistic and control postmortem brain samples. We focused on prefrontal cortex tissue where excess neuron numbers and cortical overgrowth are pronounced in the majority of autism cases. We found evidence for dysregulation in pathways governing cell number, cortical patterning, and differentiation in young autistic prefrontal cortex. In contrast, adult autistic prefrontal cortex showed dysregulation of signaling and repair pathways. Genes regulating cell cycle also exhibited autism-specific CNVs in DNA derived from prefrontal cortex, and these genes were significantly associated with autism in genome-wide association study datasets. Our results suggest that CNVs and age-dependent gene expression changes in autism may reflect distinct pathological processes in the developing versus the mature autistic prefrontal cortex. Our results raise the hypothesis that genetic dysregulation in the developing brain leads to abnormal regional patterning, excess prefrontal neurons, cortical overgrowth, and neural dysfunction in autism.


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