From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration.

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 integrate

SUBMITTER: Gomez-Cabrero D 

PROVIDER: S-EPMC5133493 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature