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Updated: Jan 30, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
An interaction-based model for neuropsychiatric features of copy-number variants
Matthew Jensen1,2, Santhosh Girirajan1,2,3
1Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Abstract:
Variably expressive copy-number variants (CNVs) are characterized by extensive phenotypic heterogeneity of neuropsychiatric phenotypes. Approaches to identify single causative genes for these phenotypes within each CNV have not been successful. Here, we posit using multiple lines of evidence, including pathogenicity metrics, functional assays of model organisms, and gene expression data, that multiple genes within each CNV region are likely responsible for the observed phenotypes. We propose that candidate genes within each region likely interact with each other through shared pathways to modulate the individual gene phenotypes, emphasizing the genetic complexity of CNV-associated neuropsychiatric features.
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