SpringerProtocols: Abstract: 2. Parametric Linkage Analysis

2. Parametric Linkage Analysis

By: Lyle J. Palmer^{3 4}, Audrey H. Schnell⁴, John S. Witte⁴, Robert C. Elston⁴

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“Linkage” describes the situation in which two syntenic loci are inherited together. More specifically, two loci are said to be linked if they are close enough to each other on a chromosome that recombination during meiosis is uncommon enough for their cosegregation to be detectable within families. Thus, linkage is a property of loci. All linkage techniques are essentially designed to test for a statistical association between a marker (genetic or biochemical) and a phenotypic trait. Classical model-based (parametric) linkage analysis was developed to investigate the cosegregation of a genetic marker and a binary trait (generally, disease affection status) within pedigrees. Model-based linkage analysis of quantitative traits is also possible and forms the basis of this chapter. Methods based on the exact likelihood calculation are described in this chapter; Markov chain Monte Carlo methods are described in Chapter 6.

Affiliation(s): (3) Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
(4) Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH

Book Title: Quantitative Trait Loci: Methods and Protocols

Series: Methods in Molecular Biology | Volume: 195 | Pub. Date: Apr-26-2002 | Page Range: 13-35 | DOI: 10.1385/1-59259-176-0:013

Subject: Genetics/Genomics

References

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