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Association study between polymorphisms in MIA3, SELE, SMAD3 and CETP genes and coronary artery disease in an Iranian

Sima Rayat1, Nasim Ramezanidoraki1, Nima Kazemi1

  • 1Department of Biology, School of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.

BMC Cardiovascular Disorders
|June 29, 2022
PubMed

Insights

Genetic variations in specific genes are linked to coronary artery disease (CAD) risk. This study identifies rs5355, rs3917406, and rs5882 as significantly associated with CAD, aiding early diagnosis and prevention.

Area of Science:

  • Genetics
  • Cardiovascular Disease Research
  • Molecular Biology

Background:

  • Coronary artery disease (CAD) is a leading cause of mortality globally.
  • Genetic polymorphisms are increasingly recognized as risk factors for CAD.
  • Identifying specific gene variants associated with CAD can improve early detection and prevention strategies.

Purpose of the Study:

  • To investigate the association between specific genetic polymorphisms (SNPs) and the risk of developing coronary artery disease (CAD).
  • To evaluate the role of selected gene variants in the pathogenesis of CAD.
  • To identify potential genetic markers for early diagnosis and prevention of CAD.

Main Methods:

  • Case-control study design involving 101 CAD patients and 111 healthy controls.
  • Genotyping of specific single nucleotide polymorphisms (SNPs) using Amplification Refractory Mutation System-Polymerase Chain Reaction (ARMS-PCR) and Restriction Fragment Length Polymorphism-Polymerase Chain Reaction (RFLP-PCR).
  • Statistical analysis to determine the association between genotypes and CAD risk.

Main Results:

  • No significant association was found between rs17228212, rs17465637, and rs708272 polymorphisms and CAD risk.
  • A significant association with CAD risk was observed for rs5355 (p=0.022) and rs3917406 (p=0.006) in the total cohort.
  • The rs5882 polymorphism showed a significant association with CAD risk specifically in male cases (p=0.001).

Conclusions:

  • Specific polymorphisms in the SELE gene are significantly associated with the risk of coronary artery disease.
  • The study highlights the potential role of SELE gene variations in CAD development and inflammation.
  • Findings suggest that certain genetic markers, like rs5355, rs3917406, and rs5882, could contribute to personalized risk assessment for CAD.
Abstract

Keywords:
AssociationCADCETPMIA3PolymorphismSELESMAD3

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