Prediction of genetic risk factors of atherosclerosis using various bioinformatic tools
“Prediction of genetic risk factors of atherosclerosis using various bioinformatic tools”, vol. 15, p. -, 2016.
, The aim of this study was to identify potential markers of atherosclerosis development in familial hypercholesterolemia (FH) patients. GSE13985 microarray data, generated using blood samples from 5 FH patients and 5 matched controls, was downloaded from the Gene Expression Omnibus. Differentially expressed genes (DEGs) between FH and controls were identified and a protein-protein interaction (PPI) network was constructed. Module and hub proteins were screened in this network.