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An interaction-based model for neuropsychiatric features of copy-number variants.

Matthew JensenSanthosh D Girirajan
Published in: PLoS genetics (2019)
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.
Keyphrases
  • copy number
  • genome wide
  • mitochondrial dna
  • dna methylation
  • gene expression
  • genome wide identification
  • high throughput
  • single cell
  • big data
  • gram negative
  • artificial intelligence