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Updated: Apr 11, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
Transcriptome outlier analysis implicates schizophrenia susceptibility genes and enriches putatively functional rare
Jubao Duan1, Alan R Sanders2, Winton Moy2
1Center for Psychiatric Genetics and Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA, jduan@uchicago.edu jduan@northshore.org.
None:
We searched a gene expression dataset comprised of 634 schizophrenia (SZ) cases and 713 controls for expression outliers (i.e., extreme tails of the distribution of transcript expression values) with SZ cases overrepresented compared with controls. These outlier genes were enriched for brain expression and for genes known to be associated with neurodevelopmental disorders. SZ cases showed higher outlier burden (i.e., total outlier events per subject) than controls for genes within copy number variants (CNVs) associated with SZ or neurodevelopmental disorders. Outlier genes were enriched for CNVs and for rare putative regulatory variants, but this only explained a small proportion of the outlier subjects, highlighting the underlying presence of additional genetic and potentially, epigenetic mechanisms.
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