Research Article

Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease

Table 1

Descriptions of selected datasets with GEO accession number, platform, tissues, and number of samples.

DiseaseGEO numberPlatformTissuesControl samplesCase samples

Coronary artery diseaseGSE98583AffymetrixCoronary artery cells612
Myocardial infarctionGSE66360AffymetrixEndothelial cells5049
HTNGSE703AffymetrixPeripheral blood cells614
T2DGSE26168IlluminaBlood cells2337
HCLGSE6054AffymetrixCirculating monocytes1310
ObesityGSE60403AffymetrixUmbilical cord blood cells88
AgingGSE13712AffymetrixEndothelial cells66