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Statistical Human Genetics pp 327–342Cite as

Model-Free Linkage Analysis of a Quantitative Trait

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1666))

Abstract

Model-free methods of linkage analysis for quantitative traits are a class of easily implemented, computationally efficient and statistically robust approaches to searching for linkage to a quantitative trait. By “model-free” we refer to methods of linkage analysis that do not fully specify a genetic model (i.e., the causal allele frequency, and penetrance functions). In this chapter we briefly survey the methods that are available, and then we discuss the necessary steps to implement an analysis using the programs GENIBD, SIBPAL and RELPAL in the S.A.G.E. (Statistical Analysis for Genetic Epidemiology) software suite.

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Author information

Authors and Affiliations

  1. Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106-7281, USA

    Nathan J. Morris & Catherine M. Stein

Authors
  1. Nathan J. Morris
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  2. Catherine M. Stein
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Corresponding author

Correspondence to Nathan J. Morris .

Editor information

Editors and Affiliations

  1. Case Western Reserve University, Cleveland, OH, USA

    Robert C. Elston

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Morris, N.J., Stein, C.M. (2017). Model-Free Linkage Analysis of a Quantitative Trait. In: Elston, R. (eds) Statistical Human Genetics. Methods in Molecular Biology, vol 1666. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7274-6_16

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  • DOI: https://doi.org/10.1007/978-1-4939-7274-6_16

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7273-9

  • Online ISBN: 978-1-4939-7274-6

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