Pathways systematically associated to Hirschsprung's disease
Description
Despite it has been reported that several loci are involved in Hirschsprung's disease, the molecular basis of the disease remains yet essentially unknown. The study of collective properties of modules of functionally-related genes provides an efficient and sensitive statistical framework that can overcome sample size limitations in the study of rare diseases. Here, we present the extension of a previous study of a Spanish series of HSCR trios to an international cohort of 162 HSCR trios to validate the generality of the underlying functional basis of the Hirschsprung's disease mechanisms previously found. The Pathway-Based Analysis (PBA) confirms a strong association of gene ontology (GO) modules related to signal transduction and its regulation, enteric nervous system (ENS) formation and other processes related to the disease. In addition, network analysis recovers sub-networks significantly associated to the disease, which contain genes related to the same functionalities, thus providing an independent validation of these findings. The functional profiles of association obtained for patients populations from different countries were compared to each other. While gene associations were different at each series, the main functional associations were identical in all the five populations. These observations would also explain the reported low reproducibility of associations of individual disease genes across populations.
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Instituto de Salud Carlos III (ISCIII)
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Ministry of Economy and Competitiveness, Spain (PI1001290)
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Spanish Ministry of Economy and Competitiveness (BIO2011-27069)
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GVA-FEDER (PROMETEO/2010/001)
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Consejeria de Innovación Ciencia y Empresa de la Junta de Andalucia (CTS-7447)
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CIBER de Enfermedades Raras is an initiative of the ISCIII, Spanish Ministry of Economy and Competitiveness
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Fellowship PFIS FI10/00020 from the ISCIII
Additional details
- URL
- https://idus.us.es/handle//11441/108037
- URN
- urn:oai:idus.us.es:11441/108037
- Origin repository
- USE