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

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, includ...

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Detalles Bibliográficos
Autores principales: Jensen, Matthew, Girirajan, Santhosh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336245/
https://www.ncbi.nlm.nih.gov/pubmed/30653500
http://dx.doi.org/10.1371/journal.pgen.1007879
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author Jensen, Matthew
Girirajan, Santhosh
author_facet Jensen, Matthew
Girirajan, Santhosh
author_sort Jensen, Matthew
collection PubMed
description 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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spelling pubmed-63362452019-01-31 An interaction-based model for neuropsychiatric features of copy-number variants Jensen, Matthew Girirajan, Santhosh PLoS Genet Viewpoints 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. Public Library of Science 2019-01-17 /pmc/articles/PMC6336245/ /pubmed/30653500 http://dx.doi.org/10.1371/journal.pgen.1007879 Text en © 2019 Jensen, Girirajan http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Viewpoints
Jensen, Matthew
Girirajan, Santhosh
An interaction-based model for neuropsychiatric features of copy-number variants
title An interaction-based model for neuropsychiatric features of copy-number variants
title_full An interaction-based model for neuropsychiatric features of copy-number variants
title_fullStr An interaction-based model for neuropsychiatric features of copy-number variants
title_full_unstemmed An interaction-based model for neuropsychiatric features of copy-number variants
title_short An interaction-based model for neuropsychiatric features of copy-number variants
title_sort interaction-based model for neuropsychiatric features of copy-number variants
topic Viewpoints
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336245/
https://www.ncbi.nlm.nih.gov/pubmed/30653500
http://dx.doi.org/10.1371/journal.pgen.1007879
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