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http://hdl.handle.net/2445/110568
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DC Field | Value | Language |
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dc.contributor.author | Gomez Cabrero, David | - |
dc.contributor.author | Menche, Jörg | - |
dc.contributor.author | Vargas, Claudia | - |
dc.contributor.author | Cano Franco, Isaac | - |
dc.contributor.author | Maier, Dieter | - |
dc.contributor.author | Barabási, Albert László | - |
dc.contributor.author | Tegnér, Jesper | - |
dc.contributor.author | Roca Torrent, Josep | - |
dc.contributor.author | Synergy‐COPD consortium | - |
dc.date.accessioned | 2017-05-08T10:14:31Z | - |
dc.date.available | 2017-05-08T10:14:31Z | - |
dc.date.issued | 2016-11-22 | - |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | http://hdl.handle.net/2445/110568 | - |
dc.description.abstract | Background: Deep mining of healthcare data has provided maps of comorbidity relationships between diseases. In parallel, integrative multi-omics investigations have generated high-resolution molecular maps of putative relevance for understanding disease initiation and progression. Yet, it is unclear how to advance an observation of comorbidity relations (one disease to others) to a molecular understanding of the driver processes and associated biomarkers. Results: Since Chronic Obstructive Pulmonary disease (COPD) has emerged as a central hub in temporal comorbidity networks, we developed a systematic integrative data-driven framework to identify shared disease-associated genes and pathways, as a proxy for the underlying generative mechanisms inducing comorbidity. We integrated records from approximately 13 M patients from the Medicare database with disease-gene maps that we derived from several resources including a semantic-derived knowledge-base. Using rank-based statistics we not only recovered known comorbidities but also discovered a novel association between COPD and digestive diseases. Furthermore, our analysis provides the first set of COPD co-morbidity candidate biomarkers, including IL15, TNF and JUP, and characterizes their association to aging and life-style conditions, such as smoking and physical activity. Conclusions: The developed framework provides novel insights in COPD and especially COPD co-morbidity associated mechanisms. The methodology could be used to discover and decipher the molecular underpinning of other comorbidity relationships and furthermore, allow the identification of candidate co-morbidity biomarkers | - |
dc.format.extent | 13 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | BioMed Central | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1186/s12859-016-1291-3 | - |
dc.relation.ispartof | BMC Bioinformatics, 2016, vol. 17, num. Suppl 15, p. 441 | - |
dc.relation.uri | https://doi.org/10.1186/s12859-016-1291-3 | - |
dc.rights | cc-by (c) Gomez-Cabrero, David et al., 2016 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Medicina) | - |
dc.subject.classification | Malalties pulmonars obstructives cròniques | - |
dc.subject.classification | Comorbiditat | - |
dc.subject.classification | Mineria de dades | - |
dc.subject.classification | Marcadors bioquímics | - |
dc.subject.classification | Malalties de l'aparell digestiu | - |
dc.subject.classification | Bioinformàtica | - |
dc.subject.other | Chronic obstructive pulmonary diseases | - |
dc.subject.other | Comorbidity | - |
dc.subject.other | Data mining | - |
dc.subject.other | Biochemical markers | - |
dc.subject.other | Digestive system diseases | - |
dc.subject.other | Bioinformatics | - |
dc.title | From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 671208 | - |
dc.date.updated | 2017-05-08T10:14:31Z | - |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/270086/EU//SYNERGY-COPD | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 28185567 | - |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) Articles publicats en revistes (Medicina) Publicacions de projectes de recerca finançats per la UE |
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671208.pdf | 2.99 MB | Adobe PDF | View/Open |
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