Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
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).
| Main Authors: | , , , , , , , , , , |
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| Other Authors: | |
| Format: | artículo biblioteca |
| Published: |
Nature Publishing Group
2020-06-05
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| Subjects: | Cancer, Computational biology and bioinformatics, Gene expression, Genetics, |
| Online Access: | http://hdl.handle.net/10261/236750 http://dx.doi.org/10.13039/100007586 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100004587 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100011033 |
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| Summary: | 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). |
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