This paper summarizes the contributions of group 8 to the Genetic Analysis Workshop 15. Group 8 focused on ways to address the possibility that genetic and environmental effects on phenotype may not be independent, but instead may interact in ways that could play important roles in determining pheno
Gene-environment interactions in atherosclerosis
โ Scribed by Robert A. Hegele
- Publisher
- Springer
- Year
- 1992
- Tongue
- English
- Weight
- 872 KB
- Volume
- 113
- Category
- Article
- ISSN
- 0300-8177
No coin nor oath required. For personal study only.
โฆ Synopsis
The importance of environment and genetics working together to shape an individual's risk for atherosclerosis seems intuitively obvious. However, it is only recently that research strategies have begun to evolve that attempt to answer questions related to apportionment of risk that is due to specific environmental and genetic factors. These factors may impact upon risk either singly or, more likely, through a complex interaction that affects the metabolic history of the whole organism. Because the genetic bases of lipid and lipoprotein metabolism have been well-studied, and because of the epidemiologic and pathobiochemical associations between genetic disorders of lipid metabolism and atherosclerosis, researchers have searched for gene-environment interactions within animal and human systems in which the phenotype is defined by some index of lipoprotein metabolism. From work done in the lipoprotein area to this point a clear case can be made for: 1) the genetic influence over the phenotypic response to an environmental stimulus; 2) the environmental modulation of the phenotypic expression of severe genetic defects. In the realm of gene-environment interactions that affect lipoprotein phenotype, diet is the best-studied environmental factor.
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## Abstract With the advent of rapid and relatively cheap genotyping technologies there is now the opportunity to attempt to identify geneโenvironment and geneโgene interactions when the number of genes and environmental factors is potentially large. Unfortunately the dimensionality of the paramete