Cargando…
GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes
Recent research revealed that autism spectrum disorders (ASD) and cancer may share common genetic architecture, with evidence first reported with the PTEN gene. There are approximately 800 autism genes and 3500 genes associated with cancer. The VarElect phenotype program was chosen to identify genes...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429377/ https://www.ncbi.nlm.nih.gov/pubmed/30866437 http://dx.doi.org/10.3390/ijms20051166 |
_version_ | 1783405581198950400 |
---|---|
author | Gabrielli, Alexander P. Manzardo, Ann M. Butler, Merlin G. |
author_facet | Gabrielli, Alexander P. Manzardo, Ann M. Butler, Merlin G. |
author_sort | Gabrielli, Alexander P. |
collection | PubMed |
description | Recent research revealed that autism spectrum disorders (ASD) and cancer may share common genetic architecture, with evidence first reported with the PTEN gene. There are approximately 800 autism genes and 3500 genes associated with cancer. The VarElect phenotype program was chosen to identify genes jointly associated with both conditions based on genomic information stored in GeneCards. In total, 138 overlapping genes were then profiled with GeneAnalytics, an analysis pathway enrichment tool utilizing existing gene datasets to identify shared pathways, mechanisms, and phenotypes. Profiling the shared gene data identified seven significantly associated diseases of 2310 matched disease entities with factors implicated in shared pathology of ASD and cancer. These included 371 super-pathways of 455 matched entities reflecting major cell-signaling pathways and metabolic disturbances (e.g., CREB, AKT, GPCR); 153 gene ontology (GO) biological processes of 226 matched processes; 41 GO molecular functions of 78 matched functions; and 145 phenotypes of 232 matched phenotypes. The entries were scored and ranked using a matching algorithm that takes into consideration genomic expression, sequencing, and microarray datasets with cell or tissue specificity. Shared mechanisms may lead to the identification of a common pathology and a better understanding of causation with potential treatment options to lessen the severity of ASD-related symptoms in those affected. |
format | Online Article Text |
id | pubmed-6429377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64293772019-04-10 GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes Gabrielli, Alexander P. Manzardo, Ann M. Butler, Merlin G. Int J Mol Sci Article Recent research revealed that autism spectrum disorders (ASD) and cancer may share common genetic architecture, with evidence first reported with the PTEN gene. There are approximately 800 autism genes and 3500 genes associated with cancer. The VarElect phenotype program was chosen to identify genes jointly associated with both conditions based on genomic information stored in GeneCards. In total, 138 overlapping genes were then profiled with GeneAnalytics, an analysis pathway enrichment tool utilizing existing gene datasets to identify shared pathways, mechanisms, and phenotypes. Profiling the shared gene data identified seven significantly associated diseases of 2310 matched disease entities with factors implicated in shared pathology of ASD and cancer. These included 371 super-pathways of 455 matched entities reflecting major cell-signaling pathways and metabolic disturbances (e.g., CREB, AKT, GPCR); 153 gene ontology (GO) biological processes of 226 matched processes; 41 GO molecular functions of 78 matched functions; and 145 phenotypes of 232 matched phenotypes. The entries were scored and ranked using a matching algorithm that takes into consideration genomic expression, sequencing, and microarray datasets with cell or tissue specificity. Shared mechanisms may lead to the identification of a common pathology and a better understanding of causation with potential treatment options to lessen the severity of ASD-related symptoms in those affected. MDPI 2019-03-07 /pmc/articles/PMC6429377/ /pubmed/30866437 http://dx.doi.org/10.3390/ijms20051166 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gabrielli, Alexander P. Manzardo, Ann M. Butler, Merlin G. GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes |
title | GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes |
title_full | GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes |
title_fullStr | GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes |
title_full_unstemmed | GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes |
title_short | GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes |
title_sort | geneanalytics pathways and profiling of shared autism and cancer genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429377/ https://www.ncbi.nlm.nih.gov/pubmed/30866437 http://dx.doi.org/10.3390/ijms20051166 |
work_keys_str_mv | AT gabriellialexanderp geneanalyticspathwaysandprofilingofsharedautismandcancergenes AT manzardoannm geneanalyticspathwaysandprofilingofsharedautismandcancergenes AT butlermerling geneanalyticspathwaysandprofilingofsharedautismandcancergenes |