Logic Features Selection in Identification of the Most Important Interactions of Interleukin-6 and Two Important Single Nucleotide Polymorphisms of Its Gene (IL-6-174, IL-6-572) with Some Other Factors in Association with hypertension

The study aimed to identify important interactions between Interleukin-6 and two single nucleotide polymorphisms of its gene expression (IL-6-174، IL-6-572) with some other factors including gender، age group، BMI، as while as blood concentration of sugar، lipids، and C-reactive protein، in association with hypertension.

In this cross-sectional study، the data of first phase of the «Evaluation of Novel Risk Factors of NCD» project conducted in 2001by the Research Institute for Endocrine Sciences was used. To identify the interactions we used logic Features Selection approach. Analyses were done by logistic regression models using adjusted odds ratio (OR) to demonstrate the associations of interest.

Based on final selected model on data of 126 men and 208 women with age of 18 or more، significant regression coefficients were reported for individual variables including fasting blood sugar≥126mg/dl (P=0. 001)، body mass index>25 (P=0. 03)، and age>40 years of old (P<0. 001) as well as a combinational variable combined from total cholesterol>200 mg/dl+ age>40+ interloukin-6 >29+ fasting blood sugar<126mg/dl (P=0. 003).

Findings suggested that in addition to age، body mass index and fasting blood sugar، having high level of interleukin-6 besides high plasma concentration of total cholesterol in older adults with non diabetic fasting blood sugar can significantly increase hypertension prevalence، applying logic Features Selection approach.