Abstract
Complex phenotypes such as serum lipid concentrations involve numerous genes and require the analysis of the combined effects of these gene products. We modeled the interactions of six key lipid metabolism genes by means of differential equations. We tested the model by inserting the effects of known mutations in the low-density lipoprotein receptor gene and the lipoprotein lipase gene, as well as the effects of a high-fat diet, and observed that the predictions corresponded very well to published measurements. Models such as the one that we present here will become indispensable for analyzing and understanding the effects of variation in multiple genes.
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