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Connexin37 (GJA4) genotype predicts survival after an acute coronary syndrome

David E Lanfear1, Philip G Jones, Sharon Marsh

  • 1Henry Ford Heart and Vascular Institute and Wayne State University, Detroit, MI, USA.

American Heart Journal
|August 28, 2007
PubMed

Insights

The GJA4 1019 C > T genotype predicts long-term mortality after acute coronary syndrome (ACS). Other tested genotypes, MMP3 and SERPINE1, did not show a significant association with mortality risk in ACS patients.

Area of Science:

  • Cardiovascular Genetics
  • Molecular Cardiology
  • Clinical Genetics

Background:

  • Genetic polymorphisms in GJA4, MMP3, and SERPINE1 are linked to myocardial infarction risk.
  • The predictive value of these genotypes for long-term mortality post-acute coronary syndrome (ACS) remains to be fully elucidated.

Purpose of the Study:

  • To investigate the association between GJA4 1019 C > T, MMP3 -1171delA, and SERPINE1 -668delG genotypes and 3-year mortality in patients with ACS.
  • To determine if specific genetic markers can predict adverse outcomes following an acute coronary event.

Main Methods:

  • A prospective cohort study included 726 patients admitted for ACS.
  • Kaplan-Meier estimates and Cox proportional hazards models were employed to analyze 3-year mortality.
  • Analyses were adjusted for key clinical factors including age, race, ACS type, heart failure, diabetes, and revascularization.

Main Results:

  • The GJA4 1019 C > T genotype was significantly associated with increased 3-year mortality (HR 1.7, P = .03).
  • This association remained consistent across both men and women.
  • No significant relationship was found between MMP3 -1171delA or SERPINE1 -668delG genotypes and mortality in the ACS cohort.

Conclusions:

  • The GJA4 1019 C > T polymorphism is a significant predictor of mortality following ACS.
  • MMP3 and SERPINE1 genotypes did not demonstrate predictive value for mortality in this patient group.
  • The GJA4 1019 C > T genotype may be a valuable addition to risk stratification tools for ACS patients.
Abstract

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