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Protein Interaction Networks Reveal Novel Autism Risk Genes within GWAS Statistical Noise

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  • Catarina Correia
  • Guiomar Oliveira
  • Astrid M Vicente

Abstract

Genome-wide association studies (GWAS) for Autism Spectrum Disorder (ASD) thus far met limited success in the identification of common risk variants, consistent with the notion that variants with small individual effects cannot be detected individually in single SNP analysis. To further capture disease risk gene information from ASD association studies, we applied a network-based strategy to the Autism Genome Project (AGP) and the Autism Genetics Resource Exchange GWAS datasets, combining family-based association data with Human Protein-Protein interaction (PPI) data. Our analysis showed that autism-associated proteins at higher than conventional levels of significance (P

Suggested Citation

  • Catarina Correia & Guiomar Oliveira & Astrid M Vicente, 2014. "Protein Interaction Networks Reveal Novel Autism Risk Genes within GWAS Statistical Noise," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-11, November.
    • Handle: RePEc:plo:pone00:0112399
    DOI: 10.1371/journal.pone.0112399
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    2. Dalila Pinto & Alistair T. Pagnamenta & Lambertus Klei & Richard Anney & Daniele Merico & Regina Regan & Judith Conroy & Tiago R. Magalhaes & Catarina Correia & Brett S. Abrahams & Joana Almeida & Ele, 2010. "Functional impact of global rare copy number variation in autism spectrum disorders," Nature, Nature, vol. 466(7304), pages 368-372, July.
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