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  • Genetics and Analysis of Quantitative Traits: Foundations

    Genetics and Analysis of Quantitative Traits by Walsh, Bruce; Visscher, Peter M.; Lynch, Michael;

    Foundations

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    Availability

    Estimated delivery time: Expected time of arrival: end of January 2026.
    Not in stock at Prospero.

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2
    • Publisher OUP Oxford
    • Date of Publication 26 August 2025

    • ISBN 9780192898180
    • Binding Hardback
    • No. of pages1184 pages
    • Size 285x223x57 mm
    • Weight 3490 g
    • Language English
    • 792

    Categories

    Short description:

    This second edition of Genetics and Analysis of Quantitative Traits is a fully rewritten and greatly expanded revision of the first edition, published in 1998, which provided the first, modern, unified treatment of quantitative genetics.

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    Long description:

    Almost every trait in nature shows variation, both within populations and between populations and species. The field of quantitative genetics is the very broad umbrella that attempts to separate environmental from genetic sources of variation. As a result, it has powerful applications in animal and plant breeding, evolution, ecology, medicine, anthropology, behaviour, population genetics, conservation biology, genomics, and statistics.

    This second edition of Genetics and Analysis of Quantitative Traits is a fully rewritten and greatly expanded revision of the first edition, published in 1998, which provided the first, modern, unified treatment of quantitative genetics. In the past two decades, there have been massive advancements in the field coupled with explosive growth in new quantitative methods; those developments are covered in this new edition.

    The book weaves important biological applications with a full development of the theory and appropriate statistical tools. There are extensive discussions of important linear-algebra tools, linear and mixed models, likelihood and Bayesian estimation, as well as false discovery rates, multiple comparisons, and meta-analysis. More than 100 worked examples (ranging from microbes to humans) illustrate the key concepts using real-world applications.

    This extensive reference will be suitable for graduate-level students and professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to applied evolutionary biologists working in breed improvement for agriculture, human geneticists, and statisticians.

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    Table of Contents:

    Preface
    I. Foundations of Quantitative Genetics
    An overview of quantitative genetics
    Properties of distributions
    Covariance, regression, and correlation
    Properties of single loci
    Sources of genetic variation for multilocus traits
    Sources of environmental variation
    Resemblance between relatives
    Marker-based estimation of relatedness
    Introduction to linear models and matrix algebra
    Linear and mixed models
    Analysis of line crosses
    Inbreeding depression
    Heterosis and outbreeding depression
    Matters of scale
    II. Quantiative trait loci
    Polygenes and polygenic mutation
    Detecting major genes
    Principles of marker-based mapping
    Linkage mapping and characterizing QTLS: inbred line crosses
    Linkage mapping and characterizing QTLS: outbred populations of relatives
    Association mapping
    Quantitative genomics and probing the nature of quantitative genetic variation
    III. Appendices
    Expectations, variances, and covariances of compound variables
    Path, network, and causality analysis
    Further topics in matrix algebra and linear models
    Maximum likelihood estimation and likelihood-ratio tests
    Computing the power of statistical tests
    Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis
    Introduction to bayesian analysis
    Markov chain monte carlo and gibbs sampling
    Experimental Design

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