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Shared Pathways Among Autism Candidate Genes Determined by Co-expression Network Analysis of the Developing Human Brain Transcriptome

Authors :
Mark N. Ziats
Marcel J. T. Reinders
Ahmed Mahfouz
Boudewijn P. F. Lelieveldt
Owen M. Rennert
Source :
Journal of Molecular Neuroscience, 57(4), 580-594, Journal of Molecular Neuroscience, 2015, Journal of Molecular Neuroscience
Publisher :
Springer Nature

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental syndrome known to have a significant but complex genetic etiology. Hundreds of diverse genes have been implicated in ASD; yet understanding how many genes, each with disparate function, can all be linked to a single clinical phenotype remains unclear. We hypothesized that understanding functional relationships between autism candidate genes during normal human brain development may provide convergent mechanistic insight into the genetic heterogeneity of ASD. We analyzed the co-expression relationships of 455 genes previously implicated in autism using the BrainSpan human transcriptome database, across 16 anatomical brain regions spanning prenatal life through adulthood. We discovered modules of ASD candidate genes with biologically relevant temporal co-expression dynamics, which were enriched for functional ontologies related to synaptogenesis, apoptosis, and GABA-ergic neurons. Furthermore, we also constructed co-expression networks from the entire transcriptome and found that ASD candidate genes were enriched in modules related to mitochondrial function, protein translation, and ubiquitination. Hub genes central to these ASD-enriched modules were further identified, and their functions supported these ontological findings. Overall, our multi-dimensional co-expression analysis of ASD candidate genes in the normal developing human brain suggests the heterogeneous set of ASD candidates share transcriptional networks related to synapse formation and elimination, protein turnover, and mitochondrial function. Electronic supplementary material The online version of this article (doi:10.1007/s12031-015-0641-3) contains supplementary material, which is available to authorized users.

Details

Language :
English
ISSN :
08958696
Volume :
57
Issue :
4
Database :
OpenAIRE
Journal :
Journal of Molecular Neuroscience
Accession number :
edsair.doi.dedup.....424aefe7d04e9cc120b60c2195029f42
Full Text :
https://doi.org/10.1007/s12031-015-0641-3