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Association between inflammatory gene polymorphisms and coronary artery disease in an Indian population

Indranil Banerjee1, Umeshwar Pandey, Omer M Hasan

  • 1Department of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, 208016, India.

Journal of Thrombosis and Thrombolysis
|December 25, 2007
PubMed

Insights

This study investigated genetic variations in inflammation-related genes for coronary artery disease (CAD) risk in North India. No significant association was found between the tested gene variants and CAD susceptibility.

Area of Science:

  • Genetics
  • Cardiovascular Disease Research
  • Molecular Biology

Background:

  • Inflammation is a key factor in atherosclerosis, the root cause of coronary artery disease (CAD).
  • Genetic variations in inflammatory pathways are potential contributors to CAD risk.
  • This study focuses on specific single nucleotide polymorphisms (SNPs) in genes linked to inflammation.

Purpose of the Study:

  • To examine the association between six specific gene variants and the susceptibility to coronary artery disease (CAD).
  • To investigate the role of SNPs in CD14, TNFalpha, IL-1alpha, IL-6, PSMA6, and PDE4D genes in CAD risk within a North Indian population.

Main Methods:

  • A case-control study involving 210 CAD patients and 232 healthy controls.
  • Genotyping was performed using the PCR-RFLP method.
  • Statistical analyses included Chi-square and logistic regression to compare genotype and allele frequencies.

Main Results:

  • None of the six single nucleotide polymorphisms (SNPs) demonstrated a statistically significant association with CAD.
  • This lack of association persisted even after adjusting for confounding factors such as age, sex, hypertension, smoking, and diabetes.
  • The findings indicate no direct genetic link between the studied variants and CAD in this population.

Conclusions:

  • The study did not find any evidence to support an association between the investigated gene variants and coronary artery disease (CAD) in the North Indian population.
  • The tested genetic polymorphisms in CD14, TNFalpha, IL-1alpha, IL-6, PSMA6, and PDE4D do not appear to be risk factors for CAD in this demographic.
  • Further research may be needed to explore other genetic or environmental factors contributing to CAD in this region.
Abstract

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