"Genetics and Analysis of Quantitative Traits" by Michael Lynch and Bruce Walsh is a comprehensive textbook on quantitative genetics, published in 1998. It is a valuable resource for researchers and students in genetic epidemiology and statistical genetics, as the field has shifted from studying Mendelian traits to complex traits with quantitative phenotypes. The book covers a wide range of topics, including statistical concepts, genetic variation, environmental factors, and methods for detecting and analyzing quantitative trait loci (QTLs). It is divided into four sections: "The Foundations of Quantitative Genetics," "Quantitative Trait Loci," "Estimation Procedures," and "Appendices." The first section introduces basic statistical concepts and the principles of quantitative genetics. The second section discusses QTLs, detection methods, and their mapping in inbred and outbred populations. The third section focuses on estimation procedures, including regression, sib analysis, and variance-component estimation. The fourth section includes appendices with additional statistical and computational tools. The book is well-structured, with applied examples and exercises that allow readers to test their understanding. It is suitable as a reference, self-learning resource, or textbook. However, it is recommended that readers have a basic understanding of statistics before using it. The book is praised for its clarity and depth, and it is expected that the second volume, "Evolution and Selection of Quantitative Traits," will be equally valuable. The book is a must-read for anyone interested in quantitative genetics."Genetics and Analysis of Quantitative Traits" by Michael Lynch and Bruce Walsh is a comprehensive textbook on quantitative genetics, published in 1998. It is a valuable resource for researchers and students in genetic epidemiology and statistical genetics, as the field has shifted from studying Mendelian traits to complex traits with quantitative phenotypes. The book covers a wide range of topics, including statistical concepts, genetic variation, environmental factors, and methods for detecting and analyzing quantitative trait loci (QTLs). It is divided into four sections: "The Foundations of Quantitative Genetics," "Quantitative Trait Loci," "Estimation Procedures," and "Appendices." The first section introduces basic statistical concepts and the principles of quantitative genetics. The second section discusses QTLs, detection methods, and their mapping in inbred and outbred populations. The third section focuses on estimation procedures, including regression, sib analysis, and variance-component estimation. The fourth section includes appendices with additional statistical and computational tools. The book is well-structured, with applied examples and exercises that allow readers to test their understanding. It is suitable as a reference, self-learning resource, or textbook. However, it is recommended that readers have a basic understanding of statistics before using it. The book is praised for its clarity and depth, and it is expected that the second volume, "Evolution and Selection of Quantitative Traits," will be equally valuable. The book is a must-read for anyone interested in quantitative genetics.