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Network-Based Methods for Approaching Human Pathologies from a Phenotypic Point of View.
Ranea, Juan A G; Perkins, James; Chagoyen, Mónica; Díaz-Santiago, Elena; Pazos, Florencio.
Afiliação
  • Ranea JAG; Department of Molecular Biology and Biochemistry, University of Malaga, 29071 Malaga, Spain.
  • Perkins J; CIBER de Enfermedades Raras, Instituto de Salud Carlos III, 28029 Madrid, Spain.
  • Chagoyen M; Institute of Biomedical Research in Malaga (IBIMA), 29071 Malaga, Spain.
  • Díaz-Santiago E; Spanish National Bioinformatics Institute (INB/ELIXIR-ES), Instituto de Salud Carlos III (ISCIII), 28020 Madrid, Spain.
  • Pazos F; Department of Molecular Biology and Biochemistry, University of Malaga, 29071 Malaga, Spain.
Genes (Basel) ; 13(6)2022 06 17.
Article em En | MEDLINE | ID: mdl-35741843
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenótipo Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenótipo Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article