Abstract
A complex disease trait refers to a phenotype that does not follow simple Mendelian segregation attributable to a single gene locus, but instead may be caused by multiple disease loci, their interactions, polygenic inheritance, and environmental effects. Most cardiovascular disorders are thought to have a polygenic basis with complex interactions with environmental factors. A gene that increases or decreases the risk to a complex cardiovascular disease (susceptibility gene) can now be mapped to a specific chromosomal region by model-free linkage analysis, and follow-up molecular genetic studies can identify the specific gene at the locus. This chapter describes a protocol for model-free linkage analysis of a complex trait, as implemented in the popular genetic analysis software—SAGE. In particular, the Haseman-Elston sib-pair regression method is introduced and implemented with examples to demonstrate how to identify susceptibility loci for complex traits.
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Rao, S., Wang, Q.K. (2006). SAGE Programs. In: Wang, Q.K. (eds) Cardiovascular Disease. Methods in Molecular Medicine™, vol 128. Humana Press. https://doi.org/10.1007/978-1-59745-159-8_6
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DOI: https://doi.org/10.1007/978-1-59745-159-8_6
Publisher Name: Humana Press
Print ISBN: 978-1-58829-572-9
Online ISBN: 978-1-59745-159-8
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