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Linkage Analysis

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In Silico Tools for Gene Discovery

Part of the book series: Methods in Molecular Biology ((MIMB,volume 760))

Abstract

Linkage analysis is used to map genetic loci using observations on relatives. It can be applied to both major gene disorders (parametric linkage) and complex diseases (model-free or non-parametric linkage), and it can be based on either a relatively small number of microsatellite markers or a denser map of single nucleotide polymorphisms (SNPs). We describe the methods commonly used to map loci influencing disease susceptibility or a quantitative trait. Application of these methods to simulated but realistic datasets is illustrated in some detail using the program Merlin. We provide some guidance on the best methods to use in different situations and on the interpretation of output.

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Author information

Authors and Affiliations

  1. Section of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK

    Jennifer H. Barrett & M. Dawn Teare

Authors
  1. Jennifer H. Barrett
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  2. M. Dawn Teare
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Corresponding author

Correspondence to Jennifer H. Barrett .

Editor information

Editors and Affiliations

  1. Royal Prince Alfred Hospital, Dept. of Molecular & Clinical Genetics, University of Sydney, Missenden Road, Camperdown, 2050, New South Wales, Australia

    Bing Yu

  2. Royal Prince Alfred Hospital, Dept. Molecular & Clinical Genetics, University of Sydney, Missenden Road, Camperdown, 2050, New South Wales, Australia

    Marcus Hinchcliffe

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© 2011 Springer Science+Business Media, LLC

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Barrett, J.H., Teare, M.D. (2011). Linkage Analysis. In: Yu, B., Hinchcliffe, M. (eds) In Silico Tools for Gene Discovery. Methods in Molecular Biology, vol 760. Humana Press. https://doi.org/10.1007/978-1-61779-176-5_2

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  • DOI: https://doi.org/10.1007/978-1-61779-176-5_2

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-175-8

  • Online ISBN: 978-1-61779-176-5

  • eBook Packages: Springer Protocols

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