An Application of Logistic Regression and Multifactor Dimensionality Reduction Analyses for Detecting Genotype-Phenotype Interactions Associated with Developing of Atherosclerosis in Bulgarian Cohort

ABSTRACT

Inflammation and genetic predisposition play a critical role in the initiation and progression of atherosclerosis, especially in the process of plaque destabilization. The apolipoprotein A-I component of High-density lipoproteins, Plasminogen activator inhibitor-1and C-reactive protein (CRP) have been implicated in participation of vascular inflammation regulation.

Our aim was to examine interactions among a panel of selected gene polymorphisms with serum CRP level on risk of developing of atherosclerotic in carotid and femoral artery using data from 42 patients with stable angina pectoris, 42 with acute coronary syndrome and 122 age-matched healthy subjects.

Data examination using multifactor dimensionality reduction methods showed significant role of C-1562T MMP9, C373G PECAM-1, IL-1 RA intron 2 polymorphism, 4G/5G PAI-1, C677T MTHFR, C -2123G SELP, T495G LPL polymorphisms in the epistatic interactions connected with increased intima-media thickness in the patients with stable angina pectoris and acute coronary syndrome. These analyses also showed the association of the selected polymorphisms mentioned above (gene-gene interaction) with serum CRP level (genotype-phenotype interaction) with developing of atherosclerosis.

Keywords:

• atherosclerosis
• gene polymorphisms
• multifactor dimensional reduction