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Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism

It is well established that epilepsy and autism spectrum disorder (ASD) commonly co-occur; however, the underlying biological mechanisms of the co-occurence from their genetic susceptibility are not well understood. Our aim in this study is to characterize genetic modules of subgroups of epilepsy an...

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Autores principales: Peng, Jacqueline, Zhou, Yunyun, Wang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806931/
https://www.ncbi.nlm.nih.gov/pubmed/33441621
http://dx.doi.org/10.1038/s41598-020-78654-y
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author Peng, Jacqueline
Zhou, Yunyun
Wang, Kai
author_facet Peng, Jacqueline
Zhou, Yunyun
Wang, Kai
author_sort Peng, Jacqueline
collection PubMed
description It is well established that epilepsy and autism spectrum disorder (ASD) commonly co-occur; however, the underlying biological mechanisms of the co-occurence from their genetic susceptibility are not well understood. Our aim in this study is to characterize genetic modules of subgroups of epilepsy and autism genes that have similar phenotypic manifestations and biological functions. We first integrate a large number of expert-compiled and well-established epilepsy- and ASD-associated genes in a multiplex network, where one layer is connected through protein–protein interaction (PPI) and the other layer through gene-phenotype associations. We identify two modules in the multiplex network, which are significantly enriched in genes associated with both epilepsy and autism as well as genes highly expressed in brain tissues. We find that the first module, which represents the Gene Ontology category of ion transmembrane transport, is more epilepsy-focused, while the second module, representing synaptic signaling, is more ASD-focused. However, because of their enrichment in common genes and association with both epilepsy and ASD phenotypes, these modules point to genetic etiologies and biological processes shared between specific subtypes of epilepsy and ASD. Finally, we use our analysis to prioritize new candidate genes for epilepsy (i.e. ANK2, CACNA1E, CACNA2D3, GRIA2, DLG4) for further validation. The analytical approaches in our study can be applied to similar studies in the future to investigate the genetic connections between different human diseases.
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spelling pubmed-78069312021-01-14 Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism Peng, Jacqueline Zhou, Yunyun Wang, Kai Sci Rep Article It is well established that epilepsy and autism spectrum disorder (ASD) commonly co-occur; however, the underlying biological mechanisms of the co-occurence from their genetic susceptibility are not well understood. Our aim in this study is to characterize genetic modules of subgroups of epilepsy and autism genes that have similar phenotypic manifestations and biological functions. We first integrate a large number of expert-compiled and well-established epilepsy- and ASD-associated genes in a multiplex network, where one layer is connected through protein–protein interaction (PPI) and the other layer through gene-phenotype associations. We identify two modules in the multiplex network, which are significantly enriched in genes associated with both epilepsy and autism as well as genes highly expressed in brain tissues. We find that the first module, which represents the Gene Ontology category of ion transmembrane transport, is more epilepsy-focused, while the second module, representing synaptic signaling, is more ASD-focused. However, because of their enrichment in common genes and association with both epilepsy and ASD phenotypes, these modules point to genetic etiologies and biological processes shared between specific subtypes of epilepsy and ASD. Finally, we use our analysis to prioritize new candidate genes for epilepsy (i.e. ANK2, CACNA1E, CACNA2D3, GRIA2, DLG4) for further validation. The analytical approaches in our study can be applied to similar studies in the future to investigate the genetic connections between different human diseases. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7806931/ /pubmed/33441621 http://dx.doi.org/10.1038/s41598-020-78654-y Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Peng, Jacqueline
Zhou, Yunyun
Wang, Kai
Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
title Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
title_full Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
title_fullStr Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
title_full_unstemmed Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
title_short Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
title_sort multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806931/
https://www.ncbi.nlm.nih.gov/pubmed/33441621
http://dx.doi.org/10.1038/s41598-020-78654-y
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