It is well known that complex chronic pathologies including cardiovascular disease cannot be simplified to a single analysis or data set. For this reason, sysVASC will develop a comprehensive approach to uncover molecular pathways involved in the progression of macrovascular disease from early stages to clinical events by integrating data from a number of different sources including clinical studies and animal models of cardiovascular disease.
The sysVASC consortium benefits from the availability of unique CVD datasets in a large number of patients. Relevant omics data is already available in these cohorts such as genomics, metabolomics, and proteomics, among others.
The consortium will develop a sysVASC knowledge base on cardiovascular diseases, which will be opened to the public. This will include information extracted from existing databases and literature searches integrated into a user-friendly web page. Information will be extracted from publicly available databases (NIH GWAS repository, GEO, array express, Stanford microarray database; pride, peptide atlas, etc.) and the published literature for available omics data on CAD and other macrovascular diseases.Tools for semi-automatic extraction and annotation will be employed followed by manual bio-curation to ensure accuracy, consistency and relevance.
This knowledge base will feed back into the pathway modelling. Tools to make the sysVASC knowledge base easily accessible to the public, will be based on the knowledge base concepts (e.g. www.kupkb.org) developed previously by sysVASC project partners.