Multilocus Analysis of Genetic Susceptibility to Myocardial Infarction in Russians: Replication Study

Area of Science:

• Genetics and Cardiovascular Disease Epidemiology
• Molecular Biology and Disease Mechanisms

Background:

• Identifying genetic markers for myocardial infarction (MI) risk is crucial for personalized medicine.
• Previous studies suggest associations between various genetic variants and MI, but replication in diverse populations is needed.
• Understanding the genetic architecture of MI in the Russian population can improve risk prediction.

Purpose of the Study:

• To replicate the association of specific genetic variants with MI risk in a Russian cohort.
• To investigate the prognostic significance of identified genetic markers using a composite model.
• To explore potential gene-gene interactions (epistasis) influencing MI risk.

Main Methods:

• A case-control study involving 405 MI patients and 198 controls from the Russian population.
• Genotyping of single nucleotide polymorphisms (SNPs) in PCSK9, APOE, LPL, MTHFR, eNOS, and the 9p21 region.
• Multilocus analysis to identify associated allelic combinations and ROC analysis to assess prognostic efficacy of a composite model.

Main Results:

• Significant associations with MI were found for variants in lipid metabolism genes (PCSK9, APOE, LPL) and the eNOS gene.
• SNPs in MTHFR and the 9p21 region were not individually significant but formed MI-associated combinations via multilocus analysis.
• An additive composite model incorporating PCSK9, APOE, LPL, and eNOS demonstrated prognostic utility (AUC = 0.676) when added to a prior risk model.

Conclusions:

• Genetic variants in PCSK9, APOE, LPL, and eNOS are associated with MI risk in the Russian population.
• The cumulative effect of multiple genetic variants, rather than strong individual gene-gene interactions, likely contributes to MI risk.
• The developed composite genetic risk model shows potential for improving MI prognosis, warranting replication in independent Russian cohorts.