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QTL Analysis in Livestock

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Quantitative Trait Loci

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

Abstract

In a recent issue ofScience, Lander and Weinberg (1) stated that “without doubt, the greatest achievement in biology over the past millennium has been the elucidation of the mechanism of heredity” .The genetic dissection of quantitative phenotypes into Mendelian-like components, or quantitative trait loci (QTL) analysis, has provided significant insight into how complex traits are regulated and controlled. In combination with the new tools of genomics, QTL analysis to maladies such as obesity, hypertension, and diabetes and that contribute to behavioral phenotypes. This will not only yield informative diagnostics but may also lead to new therapies and potential cures in the future. In addition, we will begin to understand interactions between genes and the environment and between genes and other genes (epistasis), which, together, will play critical roles in implementing pharmacogenomic paradigms.

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Author information

Authors and Affiliations

  1. Department of Animal Science, University of Nebraska Lincoln, Lincoln, NE

    Joao L. Rocha

  2. Department of Animal Science, University of Nebraska Lincoln, Lincoln, NE

    Daniel Pomp

  3. USDA, ARS, USMARC, Lincoln, NE

    L. Dale Van Vleck

Authors
  1. Joao L. Rocha
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  2. Daniel Pomp
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  3. L. Dale Van Vleck
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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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Rocha, J.L., Pomp, D., Van Vleck, L.D. (2002). QTL Analysis in Livestock. In: Camp, N.J., Cox, A. (eds) Quantitative Trait Loci. Methods in Molecular Biology™, vol 195. Humana Press. https://doi.org/10.1385/1-59259-176-0:311

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  • DOI: https://doi.org/10.1385/1-59259-176-0:311

  • 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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