Lack of data integration in the congenital heart disease research community is inhibiting low cost, research opportunities.
Everyone would like to see integration of genomic, metabolomic, epigenomic, proteomic, transcriptomic, etc. data analyzed in the context of clinical disease, environmental influences, and even end-organ effects (lung versus heart or blood as an example). Rarely can this occur on small cohorts, but rarely are funds available to take maximum use of existing large cohorts and the samples and information collected within ...more »
There are many novel imaging modalities, including radiographic, scintigraphic, sonographic, MR-based, and molecular for the heart and vessels. Patients have unique medical "signatures"- genetic risk factor profiles, epigenetic markings, "omics" profiles, and personal clinical and family history as well as symptom constellation and physical exam findings. Can these all be integrated into a single personalized profile ...more »