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Abstract
Historically, most advances in gene mapping have occurred through the use of linkage analysis in family studies of Mendelian diseases. Translating these successes into finding genes involved in complex traits has been problematic. The main challenges are that complex traits are comprised of multiple genes of varying effect sizes and that epistatic interactions among multiple genes and the environment contribute to the phenotype. The objective of this research is to investigate alternative strategies for mapping complex traits.