MIF gene rs755622 polymorphism positively associated with acute coronary syndrome in Chinese Han population:

Guo-Li Du1,2,3, Jun-Yi Luo1,4, Duolao Wang5

  • 1State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Scientific Reports
|January 12, 2020
PubMed

Insights

The macrophage migration inhibitory factor (MIF) gene variant rs755622 C allele is linked to a higher risk of acute coronary syndrome (ACS). This MIF gene polymorphism may aid in predicting ACS risk.

Area of Science:

  • Cardiovascular Genetics
  • Immunology
  • Molecular Biology

Background:

  • Macrophage migration inhibitory factor (MIF) plays a key role in atherosclerosis development.
  • Genetic variations in the MIF gene may influence susceptibility to cardiovascular diseases.

Purpose of the Study:

  • To investigate the association between MIF gene polymorphisms (rs755622, rs1007888, rs2096525) and acute coronary syndrome (ACS) in the Chinese Han population.
  • To determine if plasma MIF levels correlate with specific MIF gene polymorphisms and ACS risk.

Main Methods:

  • Genotyping of MIF gene polymorphisms (rs755622, rs1007888, rs2096525) in 1153 healthy controls and 699 ACS cases.
  • Measurement of plasma MIF levels in a subset of ACS patients and healthy controls.
  • Multivariate logistic regression analysis to assess the association between polymorphisms and ACS risk.

Main Results:

  • Carriers of the rs755622 C allele exhibited a significantly higher risk of ACS (AOR = 1.278).
  • Individuals with the rs755622 CC genotype showed the highest plasma MIF levels.
  • Elevated plasma MIF levels were observed in ACS patients with the CC genotype compared to GG genotype carriers and healthy controls.

Conclusions:

  • The C allele of the MIF gene rs755622 variant is associated with an increased risk of developing ACS.
  • MIF gene rs755622 polymorphism may serve as a potential biomarker for predicting ACS risk.

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