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

Disease comorbidity is attracting increasing attention, but the involvement of molecular factors in forecasting risk of a disease in the presence of other diseases is poorly understood. Here the authors build a disease interaction network based on gene expression profile and discover new comorbidity...

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Autores principales: Jon Sánchez-Valle, Héctor Tejero, José María Fernández, David Juan, Beatriz Urda-García, Salvador Capella-Gutiérrez, Fátima Al-Shahrour, Rafael Tabarés-Seisdedos, Anaïs Baudot, Vera Pancaldi, Alfonso Valencia
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Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/b8e750206f194b8fa013e289241caa12
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spelling oai:doaj.org-article:b8e750206f194b8fa013e289241caa122021-12-02T15:03:03ZInterpreting molecular similarity between patients as a determinant of disease comorbidity relationships10.1038/s41467-020-16540-x2041-1723https://doaj.org/article/b8e750206f194b8fa013e289241caa122020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16540-xhttps://doaj.org/toc/2041-1723Disease comorbidity is attracting increasing attention, but the involvement of molecular factors in forecasting risk of a disease in the presence of other diseases is poorly understood. Here the authors build a disease interaction network based on gene expression profile and discover new comorbidity relationships in patient subgroups.Jon Sánchez-ValleHéctor TejeroJosé María FernándezDavid JuanBeatriz Urda-GarcíaSalvador Capella-GutiérrezFátima Al-ShahrourRafael Tabarés-SeisdedosAnaïs BaudotVera PancaldiAlfonso ValenciaNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Jon Sánchez-Valle
Héctor Tejero
José María Fernández
David Juan
Beatriz Urda-García
Salvador Capella-Gutiérrez
Fátima Al-Shahrour
Rafael Tabarés-Seisdedos
Anaïs Baudot
Vera Pancaldi
Alfonso Valencia
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
description Disease comorbidity is attracting increasing attention, but the involvement of molecular factors in forecasting risk of a disease in the presence of other diseases is poorly understood. Here the authors build a disease interaction network based on gene expression profile and discover new comorbidity relationships in patient subgroups.
format article
author Jon Sánchez-Valle
Héctor Tejero
José María Fernández
David Juan
Beatriz Urda-García
Salvador Capella-Gutiérrez
Fátima Al-Shahrour
Rafael Tabarés-Seisdedos
Anaïs Baudot
Vera Pancaldi
Alfonso Valencia
author_facet Jon Sánchez-Valle
Héctor Tejero
José María Fernández
David Juan
Beatriz Urda-García
Salvador Capella-Gutiérrez
Fátima Al-Shahrour
Rafael Tabarés-Seisdedos
Anaïs Baudot
Vera Pancaldi
Alfonso Valencia
author_sort Jon Sánchez-Valle
title Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
title_short Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
title_full Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
title_fullStr Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
title_full_unstemmed Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
title_sort interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/b8e750206f194b8fa013e289241caa12
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