Association of CETP, APOA5, IL6, and PON1 Gene Variants with Dyslipidemia and Cardiovascular Risk in a Population

Astrid Lorena Urbano-Cano1, Rosa Elvira Álvarez-Rosero2, Yamil Liscano1

  • 1Grupo de Investigación en Salud Integral (GISI), Departamento Facultad de Salud, Universidad Santiago de Cali, Cali 760035, Colombia.

Genes
|May 28, 2025
PubMed

Insights

Genetic variants influence dyslipidemia. The APOA5 rs662799 polymorphism is linked to higher VLDL levels, aiding cardiovascular risk assessment in Colombian adults.

Area of Science:

  • Genetics and Cardiovascular Health
  • Metabolic Disease Research
  • Population Health Studies

Background:

  • Cardiovascular disease (CVD) is a leading global cause of mortality.
  • Dyslipidemia, a modifiable risk factor, significantly contributes to CVD.
  • Understanding genetic influences on lipid metabolism is crucial for CVD prevention.

Purpose of the Study:

  • To investigate the association between specific gene polymorphisms (CETP, APOA5, IL6, PON1) and lipid profiles.
  • To determine the contribution of these polymorphisms to dyslipidemia.
  • To assess their role in overall cardiovascular risk within a Colombian cohort.

Main Methods:

  • Cross-sectional observational study of 304 participants (aged 40-69).
  • Collection of clinical, anthropometric, and biochemical data.
  • Genotyping for CETP (rs3764261), APOA5 (rs662799), IL6 (rs1800796), and PON1 (Q192R) polymorphisms.
  • Statistical analysis including non-parametric tests and multivariable logistic regression.

Main Results:

  • Dyslipidemia group showed higher total cholesterol, VLDL, and lower HDL levels.
  • The APOA5 rs662799 variant was significantly associated with elevated VLDL levels.
  • Genotype frequencies differed between dyslipidemic and non-dyslipidemic groups, with APOA5 rs662799 being a potential biomarker.

Conclusions:

  • Genetic variants and metabolic factors interact in dyslipidemia development.
  • The APOA5 rs662799 polymorphism is a key determinant of VLDL concentration.
  • This finding supports personalized cardiovascular risk stratification and management strategies.
Abstract

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