Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

Banner header
61.608 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Centres de recerca
  • BSC - Barcelona Supercomputing Center
  • Life Sciences
  • Articles de revista
  • View Item
  •   DSpace Home
  • E-prints
  • Centres de recerca
  • BSC - Barcelona Supercomputing Center
  • Life Sciences
  • Articles de revista
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships

Thumbnail
View/Open
s41467-020-16540-x.pdf (6,597Mb)
 
10.1038/s41467-020-16540-x
 
  View Usage Statistics
  LA Referencia / Recolecta stats
Cita com:
hdl:2117/190646

Show full item record
Sánchez, JonMés informació
Tejero, Héctor
Fernández, José María
Juan, David
Urda García, Beatriz
Capella Gutiérrez, SalvadorMés informació
Al-Shahrour, Fátima
Tabarés Seisdedos, Rafael
Baudot, AnaisMés informació
Pancaldi, VeraMés informació
Valencia, AlfonsoMés informació
Document typeArticle
Defense date2020
PublisherSpringer Nature
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
ProjectEXTRACCION DE PERFILES DE COMORBILIDAD PERSONALIZADOS Y DE TRAYECTORIAS BASADAS EN DATOS MULTI-OMICOS (AEI-RTI2018-096653-B-I00)
Abstract
Comorbidity is a medical condition attracting increasing attention in healthcare and biomedical research. Little is known about the involvement of potential molecular factors leading to the emergence of a specific disease in patients affected by other conditions. We present here a disease interaction network inferred from similarities between patients’ molecular profiles, which significantly recapitulates epidemiologically documented comorbidities. Furthermore, we identify disease patient-subgroups that present different molecular similarities with other diseases, some of them opposing the general tendencies observed at the disease level. Analyzing the generated patient-subgroup network, we identify genes involved in such relations, together with drugs whose effects are potentially associated with the observed comorbidities. All the obtained associations are available at the disease PERCEPTION portal (http://disease-perception.bsc.es).
Dataset  http://disease-perception.bsc.es

  https://www.ebi.ac.uk/arrayexpress/) and GEO (http://www.ncbi.nlm.nih.gov/geo

  https://github.com/jonsv89/Disease_PERCEPTION
CitationSánchez, J. [et al.]. Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships. "Nature Communications", 2020, vol. 11, núm. 2854. 
URIhttp://hdl.handle.net/2117/190646
DOI10.1038/s41467-020-16540-x
ISSN2041-1723
Publisher versionhttps://www.nature.com/articles/s41467-020-16540-x
Collections
  • Life Sciences - Articles de revista [333]
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
s41467-020-16540-x.pdf6,597MbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Privacy Settings
  • Inici de la pàgina