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Ch'ng C, Kwok W, Rogic S, et al. Meta-Analysis of Gene Expression in Autism Spectrum Disorder. Autism Res. 2015;8(5):593-608doi: 10.1002/aur.1475.
Ch'ng, C., Kwok, W., Rogic, S., & Pavlidis, P. (2015). Meta-Analysis of Gene Expression in Autism Spectrum Disorder. Autism research : official journal of the International Society for Autism Research, 8(5), 593-608. https://doi.org/10.1002/aur.1475
Ch'ng, Carolyn, et al. "Meta-Analysis of Gene Expression in Autism Spectrum Disorder." Autism research : official journal of the International Society for Autism Research vol. 8,5 (2015): 593-608. doi: https://doi.org/10.1002/aur.1475
Ch'ng C, Kwok W, Rogic S, Pavlidis P. Meta-Analysis of Gene Expression in Autism Spectrum Disorder. Autism Res. 2015 Oct;8(5):593-608. doi: 10.1002/aur.1475. Epub 2015 Feb 26. PMID: 25720351; PMCID: PMC4933311.
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Autism Res. 2015 Oct;8(5):593-608. doi: 10.1002/aur.1475. Epub 2015 Feb 26.

Meta-Analysis of Gene Expression in Autism Spectrum Disorder.

Autism research : official journal of the International Society for Autism Research

Carolyn Ch'ng, Willie Kwok, Sanja Rogic, Paul Pavlidis

Affiliations

  1. Graduate Program in Bioinformatics, University of British Columbia, Vancouver, Canada, V6T 1Z4 (C.C.).
  2. Center for High Throughput Biology, University of British Columbia, Vancouver, Canada, V6T 1Z4 (C.C., W.K., S.R., P.P.).
  3. Department of Psychiatry, University of British Columbia, Vancouver, Canada, V6T 1Z4 (W.K., S.R., P.P.).

PMID: 25720351 PMCID: PMC4933311 DOI: 10.1002/aur.1475

Abstract

Autism spectrum disorders (ASD) are clinically heterogeneous and biologically complex. In general it remains unclear, what biological factors lead to changes in the brains of autistic individuals. A considerable number of transcriptome analyses have been performed in attempts to address this question, but their findings lack a clear consensus. As a result, each of these individual studies has not led to any significant advance in understanding the autistic phenotype as a whole. Here, we report a meta-analysis of more than 1000 microarrays across twelve independent studies on expression changes in ASD compared to unaffected individuals, in both blood and brain tissues. We identified a number of known and novel genes that are consistently differentially expressed across three studies of the brain (71 samples in total). A subset of the highly ranked genes is suggestive of effects on mitochondrial function. In blood, consistent changes were more difficult to identify, despite individual studies tending to exhibit larger effects than the brain studies. Our results are the strongest evidence to date of a common transcriptome signature in the brains of individuals with ASD.

© 2015 International Society for Autism Research, Wiley Periodicals, Inc.

Keywords: gene expression; meta-analysis; microarray; molecular genetics

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