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Genetics and Analysis of Quantitative Traits

Foundations

9780192898180
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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.
Product Details
OUP Oxford
104108
9780192898180
9780192898180

Data sheet

Publication date
2025
Issue number
2
Cover
hard cover
Pages count
1184
Dimensions (mm)
219 x 276
  • 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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