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GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes.
Gabrielli, Alexander P; Manzardo, Ann M; Butler, Merlin G.
Afiliación
  • Gabrielli AP; Departments of Psychiatry, Behavioral Sciences & Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA. a228g039@kumc.edu.
  • Manzardo AM; Departments of Psychiatry, Behavioral Sciences & Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA. amanzardo@kumc.edu.
  • Butler MG; Departments of Psychiatry, Behavioral Sciences & Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA. mbutler4@kumc.edu.
Int J Mol Sci ; 20(5)2019 Mar 07.
Article en En | MEDLINE | ID: mdl-30866437
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Redes Reguladoras de Genes / Trastorno del Espectro Autista / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Redes Reguladoras de Genes / Trastorno del Espectro Autista / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza