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Network-Based Methods for Approaching Human Pathologies from a Phenotypic Point of View
dc.contributor.author | Ranea, Juan A. G. | |
dc.contributor.author | Richard Perkins, James | |
dc.contributor.author | Chagoyen, Mónica | |
dc.contributor.author | Díaz-Santiago, Elena Dolores | |
dc.contributor.author | Pazos, Florencio | |
dc.date.accessioned | 2022-07-04T11:56:40Z | |
dc.date.available | 2022-07-04T11:56:40Z | |
dc.date.issued | 2022-06-17 | |
dc.identifier.citation | Ranea JAG, Perkins J, Chagoyen M, Díaz-Santiago E, Pazos F. Network-Based Methods for Approaching Human Pathologies from a Phenotypic Point of View. Genes. 2022; 13(6):1081. https://doi.org/10.3390/genes13061081 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10630/24543 | |
dc.description.abstract | Network and systemic approaches to studying human pathologies are helping us to gain insight into the molecular mechanisms of and potential therapeutic interventions for human diseases, especially for complex diseases where large numbers of genes are involved. The complex human pathological landscape is traditionally partitioned into discrete “diseases”; however, that partition is sometimes problematic, as diseases are highly heterogeneous and can differ greatly from one patient to another. Moreover, for many pathological states, the set of symptoms (phenotypes) manifested by the patient is not enough to diagnose a particular disease. On the contrary, phenotypes, by definition, are directly observable and can be closer to the molecular basis of the pathology. These clinical phenotypes are also important for personalised medicine, as they can help stratify patients and design personalised interventions. For these reasons, network and systemic approaches to pathologies are gradually incorporating phenotypic information. This review covers the current landscape of phenotype-centred network approaches to study different aspects of human diseases | es_ES |
dc.description.sponsorship | This work was partially funded by The Spanish Ministry of Economy and Competitiveness with European Regional Development Fund [grant numbers PID2019-108096RB-C21 and PID2019-108096RB-C22]; the European Food Safety Authority [grant number GP/EFSA/ENCO/2020/02]; the Andalusian Government with European Regional Development Fund [grant numbers UMA18- FEDERJA-102 and PAIDI 2020:PY20-00372]; Fundacion Progreso y Salud [grant number PI-0075-2017], also from the Andalusian Government; the Ramón Areces foundation, which funds project for the investigation of rare disease (National call for research on life and material sciences, XIX edition); the University of Malaga (Ayudas del I Plan Propio) and the Institute of Health Carlos III which funds the IMPaCT-Data project. The CIBERER is an initiative from the Institute of Health Carlos III. The conclusions, findings and opinions expressed in this scientific paper reflect only the view of the authors and not the official position of the European Food Safety Authority. Partial funding for open access charge: Universidad de Málaga | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IOAP-MPDI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Genes | es_ES |
dc.subject.other | Biological network | es_ES |
dc.subject.other | Network medicine | es_ES |
dc.subject.other | Pathological phenotype | es_ES |
dc.subject.other | Gene priorization | es_ES |
dc.title | Network-Based Methods for Approaching Human Pathologies from a Phenotypic Point of View | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.centro | Facultad de Ciencias | es_ES |
dc.identifier.doi | https://doi.org/10.3390/genes13061081 | |
dc.rights.cc | Atribución 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |