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Quantitative Trait Loci pp 13–35Cite as

Parametric Linkage Analysis

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Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 195))

Abstract

“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.

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Author information

Authors and Affiliations

  1. Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA

    Lyle J. Palmer

  2. Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH

    Lyle J. Palmer, Audrey H. Schnell, John S. Witte & Robert C. Elston

Authors
  1. Lyle J. Palmer
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  2. Audrey H. Schnell
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  3. John S. Witte
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  4. Robert C. Elston
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Editor information

Editors and Affiliations

  1. Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, UT

    Nicola J. Camp

  2. Institute for Cancer Studies, University of Sheffield Medical School, Sheffield, UK

    Angela Cox

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© 2002 Humana Press Inc.

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Palmer, L.J., Schnell, A.H., Witte, J.S., Elston, R.C. (2002). Parametric Linkage Analysis. In: Camp, N.J., Cox, A. (eds) Quantitative Trait Loci. Methods in Molecular Biology™, vol 195. Humana Press. https://doi.org/10.1385/1-59259-176-0:013

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  • DOI: https://doi.org/10.1385/1-59259-176-0:013

  • Publisher Name: Humana Press

  • Print ISBN: 978-0-89603-927-8

  • Online ISBN: 978-1-59259-176-3

  • eBook Packages: Springer Protocols

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