Research Article

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

Table 6

Validation of the association of CVD with 5 risk factors employing gold benchmark databases.

Risk factorsGenes value

HTNHNF4A, THBD, ACSL1, NFKBIA, FPR2, TNF, ADRA1A, and SCN5A3.18E-02
T2DMCTP1, PDE4B, PRKCB, and NLRP14.01E-02
HCLRNF144B, PTGIS, KLK2, ADAMTS6, CFTR, PRKD1, SHB, NOL4, NKAIN2, PSD3, SRGAP3, SLIT2, SAMD12, TRPM3, and TBC1D161.44E-02
ObesityTGFB2, HNF4A, RNF144A, ACSL1, QKI, PADI4, VEGFA, COBLL1, SP4, KCNQ3, BLZF1, and CD445.34E-03
AgingRNF144B, VNN1, TGFB2, ANPEP, KYNU, MED12, TF, CXCL8, PHACTR2, DIP2A, HMCN1, and SAMD123.51E-03