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Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population

Elena V Zholdybayeva1, Yerkebulan A Talzhanov2, Akbota M Aitkulova2

  • 1National Center for Biotechnology, 13/5, KorgalzhinskoeHighway, Astana, Kazakhstan. lenazhol@gmail.com.

Human Genomics
|June 10, 2016
PubMed

Insights

Genetic variations in FGB, CD14, and NOS3 genes are linked to restenosis after coronary stenting in the Kazakh population. These single nucleotide polymorphisms (SNPs) may serve as important genetic markers for predicting restenosis risk.

Area of Science:

  • Cardiovascular Genetics
  • Medical Genomics
  • Population Genetics

Background:

  • Coronary stenting carries a significant risk of restenosis, affecting 20-35% of patients.
  • Investigating genetic factors is crucial for understanding and predicting restenosis development.

Purpose of the Study:

  • To explore the association between genetic variations in candidate genes and restenosis in the Kazakh population.
  • Identify potential genetic markers for restenosis risk.

Main Methods:

  • Genotyping of 53 single-nucleotide polymorphisms (SNPs) in 459 patients (excluding diabetics).
  • DNA extraction using the salting-out method and genotyping via QuantStudio 12K Flex.
  • Statistical analysis using ANOVA, R, PLINK, and Haploview for SNP and haplotype analysis.

Main Results:

  • Logistic regression revealed significant associations between specific SNPs and restenosis rates.
  • FGB (rs1800790), CD14 (rs2569190), and NOS3 (rs1799983) showed statistically significant links to restenosis.
  • Odds ratios (OR) and p-values indicated strong associations for these SNPs across different genetic models.

Conclusions:

  • FGB (rs1800790), CD14 (rs2569190), and NOS3 (rs1799983) SNPs are potential genetic markers for restenosis in the Kazakh population.
  • These findings were consistent even after adjusting for Body Mass Index (BMI).
  • Further research can leverage these markers for personalized risk assessment and prevention strategies.
Abstract

Keywords:
Coronary heart diseaseGenotypingRestenosisSNP

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