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

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 () and Alfonso Valencia ()
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Jon Sánchez-Valle: Barcelona Supercomputing Center (BSC)
Héctor Tejero: Spanish National Cancer Research Center (CNIO)
José María Fernández: Barcelona Supercomputing Center (BSC)
David Juan: Institute of Evolutionary Biology (UPF-CSIC), PRBB
Beatriz Urda-García: Barcelona Supercomputing Center (BSC)
Salvador Capella-Gutiérrez: Barcelona Supercomputing Center (BSC)
Fátima Al-Shahrour: Spanish National Cancer Research Center (CNIO)
Rafael Tabarés-Seisdedos: University of Valencia, CIBERSAM, INCLIVA
Anaïs Baudot: Barcelona Supercomputing Center (BSC)
Vera Pancaldi: Barcelona Supercomputing Center (BSC)
Alfonso Valencia: Barcelona Supercomputing Center (BSC)

Nature Communications, 2020, vol. 11, issue 1, 1-13

Abstract: 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 ).

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16540-x

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DOI: 10.1038/s41467-020-16540-x

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