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dc.contributor.authorGabrielli, Alexander P.
dc.contributor.authorManzardo, Ann M.
dc.contributor.authorButler, Merlin G.
dc.date.accessioned2019-09-04T15:17:36Z
dc.date.available2019-09-04T15:17:36Z
dc.date.issued2019-03-07
dc.identifier.citationGabrielli, A.P.; Manzardo, A.M.; Butler, M.G. GeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genes. Int. J. Mol. Sci. 2019, 20, 1166.en_US
dc.identifier.urihttp://hdl.handle.net/1808/29509
dc.descriptionA grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.en_US
dc.description.abstractRecent 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 amatching 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.en_US
dc.description.sponsorshipNational Institute of Child Health and Human Developmenten_US
dc.description.sponsorshipHD02528en_US
dc.publisherMDPIen_US
dc.rights© 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) licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectAutism spectrum disorders (ASD)en_US
dc.subjectcanceren_US
dc.subjectoverlapping genes and gene profilingen_US
dc.subjectsuper-pathwaysen_US
dc.subjectphenotypes and diseasesen_US
dc.subjectmolecular functions and processesen_US
dc.titleGeneAnalytics Pathways and Profiling of Shared Autism and Cancer Genesen_US
dc.typeArticleen_US
kusw.kuauthorAlexander, Gabrielli
kusw.kudepartmentPsychiatry and Behavioral Sciences/ KUMCen_US
dc.identifier.doi10.3390/ijms20051166en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9283-7809en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2911-0524en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 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
Except where otherwise noted, this item's license is described as: © 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