Bruce Walsh obtained a BS in Mathematical Population Biology of UC Davis and a PhD in Genetics from the University of Washington. Following a short post-doc at the University of Chicago, in 1986 he joined the Dept of Ecology and Evolutionary Biology at the University of Arizona, where he is currently a Professor, with adjunct appointments in multiple departments (Plant Science, Animal Science, Molecular and Cellular Biology, Public Health, Applied Mathematics). His work focuses on mathematical models of evolution and statistical methods in quantitative genetics. He has a special interest in education, having taught over 15,000 undergraduates at Arizona and has taught short courses in over 25 countries on various aspects of genetics, statistics, and evolution.Peter Martin Visscher FRS is a Dutch-Australian-British geneticist. He is professor of Quantitative Genetics at the University of Oxford and the University of Queensland. After an undergraduate degree in the Netherlands, Visscher undertook postgraduate study at the University of Edinburgh in animal genetics. He is married to Professor Naomi R. Wray FAA, a fellow geneticist who holds the Michael Davys Professorship in Neuroscience at the University of Oxford. Visscher has held Faculty positions at the University of Edinburgh and the University of Queensland, and Honorary or Affiliate positions at UMCG Groningen and the Karolinska Institute.Michael Lynch is Regents Professor and the Director of the Biodesign Center for Mechanisms of Evolution, Arizona State University. A member of the US National Academy of Sciences and of the American Academy of Arts and Sciences, and past president of the Society for Molecular Biology and Evolution, the Genetics Society of America, the Society for the Study of Evolution, and the American Genetics Association. Recent awards include the Thomas Hunt Morgan Medal from the Genetics Society of America and the Lifetime Achievement Award from the Society for Molecular Biology and Evolution.

• Preface I. Foundations of Quantitative Genetics 1: An overview of quantitative genetics 2: Properties of distributions 3: Covariance, regression, and correlation 4: Properties of single loci 5: Sources of genetic variation for multilocus traits 6: Sources of environmental variation 7: Resemblance between relatives 8: Marker-based estimation of relatedness 9: Introduction to linear models and matrix algebra 10: Linear and mixed models 11: Analysis of line crosses 12: Inbreeding depression 13: Heterosis and outbreeding depression 14: Matters of scale II. Quantiative trait loci 15: Polygenes and polygenic mutation 16: Detecting major genes 17: Principles of marker-based mapping 18: Linkage mapping and characterizing QTLS: inbred line crosses 19: Linkage mapping and characterizing QTLS: outbred populations of relatives 20: Association mapping 21: Quantitative genomics and probing the nature of quantitative genetic variation III. Appendices A1: Expectations, variances, and covariances of compound variables A2: Path, network, and causality analysis A3: Further topics in matrix algebra and linear models A4: Maximum likelihood estimation and likelihood-ratio tests A5: Computing the power of statistical tests A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis A7: Introduction to bayesian analysis A8: Markov chain monte carlo and gibbs sampling A9: Experimental Design

Bruce Walsh obtained a BS in Mathematical Population Biology of UC Davis and a PhD in Genetics from the University of Washington. Following a short post-doc at the University of Chicago, in 1986 he joined the Dept of Ecology and Evolutionary Biology at the University of Arizona, where he is currently a Professor, with adjunct appointments in multiple departments (Plant Science, Animal Science, Molecular and Cellular Biology, Public Health, Applied Mathematics). His work focuses on mathematical models of evolution and statistical methods in quantitative genetics. He has a special interest in education, having taught over 15,000 undergraduates at Arizona and has taught short courses in over 25 countries on various aspects of genetics, statistics, and evolution.Peter Martin Visscher FRS is a Dutch-Australian-British geneticist. He is professor of Quantitative Genetics at the University of Oxford and the University of Queensland. After an undergraduate degree in the Netherlands, Visscher undertook postgraduate study at the University of Edinburgh in animal genetics. He is married to Professor Naomi R. Wray FAA, a fellow geneticist who holds the Michael Davys Professorship in Neuroscience at the University of Oxford. Visscher has held Faculty positions at the University of Edinburgh and the University of Queensland, and Honorary or Affiliate positions at UMCG Groningen and the Karolinska Institute.Michael Lynch is Regents Professor and the Director of the Biodesign Center for Mechanisms of Evolution, Arizona State University. A member of the US National Academy of Sciences and of the American Academy of Arts and Sciences, and past president of the Society for Molecular Biology and Evolution, the Genetics Society of America, the Society for the Study of Evolution, and the American Genetics Association. Recent awards include the Thomas Hunt Morgan Medal from the Genetics Society of America and the Lifetime Achievement Award from the Society for Molecular Biology and Evolution.

• Preface I. Foundations of Quantitative Genetics 1: An overview of quantitative genetics 2: Properties of distributions 3: Covariance, regression, and correlation 4: Properties of single loci 5: Sources of genetic variation for multilocus traits 6: Sources of environmental variation 7: Resemblance between relatives 8: Marker-based estimation of relatedness 9: Introduction to linear models and matrix algebra 10: Linear and mixed models 11: Analysis of line crosses 12: Inbreeding depression 13: Heterosis and outbreeding depression 14: Matters of scale II. Quantiative trait loci 15: Polygenes and polygenic mutation 16: Detecting major genes 17: Principles of marker-based mapping 18: Linkage mapping and characterizing QTLS: inbred line crosses 19: Linkage mapping and characterizing QTLS: outbred populations of relatives 20: Association mapping 21: Quantitative genomics and probing the nature of quantitative genetic variation III. Appendices A1: Expectations, variances, and covariances of compound variables A2: Path, network, and causality analysis A3: Further topics in matrix algebra and linear models A4: Maximum likelihood estimation and likelihood-ratio tests A5: Computing the power of statistical tests A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis A7: Introduction to bayesian analysis A8: Markov chain monte carlo and gibbs sampling A9: Experimental Design

Bruce Walsh obtained a BS in Mathematical Population Biology of UC Davis and a PhD in Genetics from the University of Washington. Following a short post-doc at the University of Chicago, in 1986 he joined the Dept of Ecology and Evolutionary Biology at the University of Arizona, where he is currently a Professor, with adjunct appointments in multiple departments (Plant Science, Animal Science, Molecular and Cellular Biology, Public Health, Applied Mathematics). His work focuses on mathematical models of evolution and statistical methods in quantitative genetics. He has a special interest in education, having taught over 15,000 undergraduates at Arizona and has taught short courses in over 25 countries on various aspects of genetics, statistics, and evolution.Peter Martin Visscher FRS is a Dutch-Australian-British geneticist. He is professor of Quantitative Genetics at the University of Oxford and the University of Queensland. After an undergraduate degree in the Netherlands, Visscher undertook postgraduate study at the University of Edinburgh in animal genetics. He is married to Professor Naomi R. Wray FAA, a fellow geneticist who holds the Michael Davys Professorship in Neuroscience at the University of Oxford. Visscher has held Faculty positions at the University of Edinburgh and the University of Queensland, and Honorary or Affiliate positions at UMCG Groningen and the Karolinska Institute.Michael Lynch is Regents Professor and the Director of the Biodesign Center for Mechanisms of Evolution, Arizona State University. A member of the US National Academy of Sciences and of the American Academy of Arts and Sciences, and past president of the Society for Molecular Biology and Evolution, the Genetics Society of America, the Society for the Study of Evolution, and the American Genetics Association. Recent awards include the Thomas Hunt Morgan Medal from the Genetics Society of America and the Lifetime Achievement Award from the Society for Molecular Biology and Evolution.

• Preface I. Foundations of Quantitative Genetics 1: An overview of quantitative genetics 2: Properties of distributions 3: Covariance, regression, and correlation 4: Properties of single loci 5: Sources of genetic variation for multilocus traits 6: Sources of environmental variation 7: Resemblance between relatives 8: Marker-based estimation of relatedness 9: Introduction to linear models and matrix algebra 10: Linear and mixed models 11: Analysis of line crosses 12: Inbreeding depression 13: Heterosis and outbreeding depression 14: Matters of scale II. Quantiative trait loci 15: Polygenes and polygenic mutation 16: Detecting major genes 17: Principles of marker-based mapping 18: Linkage mapping and characterizing QTLS: inbred line crosses 19: Linkage mapping and characterizing QTLS: outbred populations of relatives 20: Association mapping 21: Quantitative genomics and probing the nature of quantitative genetic variation III. Appendices A1: Expectations, variances, and covariances of compound variables A2: Path, network, and causality analysis A3: Further topics in matrix algebra and linear models A4: Maximum likelihood estimation and likelihood-ratio tests A5: Computing the power of statistical tests A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis A7: Introduction to bayesian analysis A8: Markov chain monte carlo and gibbs sampling A9: Experimental Design