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An interaction-based model for neuropsychiatric features of copy-number variants.
Jensen, Matthew; Girirajan, Santhosh.
Affiliation
  • Jensen M; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Girirajan S; Bioinformatics and Genomics Program, Pennsylvania State University, University Park, Pennsylvania, United States of America.
PLoS Genet ; 15(1): e1007879, 2019 01.
Article in En | MEDLINE | ID: mdl-30653500
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Heterogeneity / Genetic Predisposition to Disease / Genetic Association Studies / DNA Copy Number Variations Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Heterogeneity / Genetic Predisposition to Disease / Genetic Association Studies / DNA Copy Number Variations Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States