Molecular prediction for atherogenic risks across different cell types of leukocytes.

ABSTRACT:

Background

Diagnosing subclinical atherosclerosis is often difficult since patients are asymptomatic. In order to alleviate this limitation, we have developed a molecular prediction technique for predicting patients with atherogenic risks using multi-gene expression biomarkers on leukocytes.

Methods

We first discovered 356 expression biomarkers which showed significant differential expression between genome-wide microarray data of monocytes from patients with familial hyperlipidemia and increased risk of atherosclerosis compared to normal controls. These biomarkers were further triaged with 56 biomarkers known to be directly related to atherogenic risks. We also applied a COXEN algorithm to identify concordantly expressed biomarkers between monocytes and each of three differ

SUBMITTER: Cheng F 

PROVIDER: S-EPMC3271975 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature