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Related Experiment Videos

Multilocus approach to cardiovascular risk.

C Pallaud1, M Maurice, S Cheng

  • 1INSERM U525, Centre de Médicine Préventive, Nancy, France.

Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum
|July 2, 1999
PubMed
Summary
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Genetic factors significantly influence lipid levels, with apolipoprotein E and apolipoprotein B gene polymorphisms impacting cholesterol and triglyceride variability. A multilocus approach is key to understanding cardiovascular risk.

Area of Science:

  • Genetics
  • Cardiovascular Disease Research
  • Biochemistry

Background:

  • Familial studies indicate shared genetic and environmental factors influence lipid parameter variability.
  • Previous research has identified specific gene polymorphisms associated with lipid levels.

Purpose of the Study:

  • To investigate the impact of specific gene polymorphisms on lipid metabolism parameters.
  • To explore the combined effects of multiple gene polymorphisms on lipid variability.
  • To establish a multilocus approach for assessing genetic susceptibility to cardiovascular risk.

Main Methods:

  • Analysis of 119 families to assess the role of apolipoprotein E (apo E), apolipoprotein A-IV, apolipoprotein B, and lipoprotein lipase (LPL) gene polymorphisms.
  • Utilized a prototype assay for genotyping 35 polymorphic sites across 15 candidate genes in 416 individuals from the Stanislas Cohort.

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  • Employed multiplex polymerase chain reactions and hybridization to immobilized oligonucleotide probes.
  • Main Results:

    • Apolipoprotein E (apo E) polymorphism affects total cholesterol, LDL-Cholesterol, apo E, and apo B levels.
    • Apolipoprotein B gene is associated with variability in total cholesterol, HDL-Cholesterol, LDL-Cholesterol, triglycerides, and apo B levels.
    • Lipoprotein lipase (LPL) gene accounts for 6.5% of triglyceride variability; combined apo E and LPL polymorphisms influence lipid parameters.

    Conclusions:

    • Polymorphisms in apo E and apo B genes are significant contributors to lipid level variability.
    • A multilocus genetic approach is essential for a comprehensive understanding of lipid metabolism and cardiovascular risk.
    • The ongoing multiplex assay in the Stanislas Cohort will enhance understanding of inter-individual lipid variability and genetic susceptibility to cardiovascular disease.