"This book can be very useful for young researchers working on QTL mapping analysis. No a priori training in genetics or statistics is required."—Mathematical Reviews, June 2015"… a good reference for advanced graduate students and researchers working on statistical genetics research. … The book can be used as an advanced reference tool or to supplement a textbook … I found the book’s discussion of various techniques and analytical tools in QTL mapping particularly appealing. The book is unique in terms of the breadth and depth of its statistical treatment in QTL mapping. … The author also provides R code. … Researchers working in statistical genetics with a particular focus on QTL mapping will find this book valuable. It can also help researchers working in other fields to identify potential research topics and begin working in this exciting field."—Journal of the American Statistical Association, June 2015"… the clear writing style and careful development of ideas by the author make it possible to understand the gist of the theoretical aspects of statistical methods for QTL mapping. … important background knowledge and theoretical elements are clearly explicated. Also, the book spends a substantial part on explaining the estimation algorithms for presented methods; readers who are interested in developing computer codes related to the methods can benefit from the book. … good study material for a graduate course on advanced quantitative genetics. … the book is a useful addition to the field of quantitative genetics and can help students and researchers to understand the advanced statistical methods used for QTL mapping."—Biometrics, December 2014

• Biological Background. Selected Topics in Statistics. Quantitative Genetics and General Issues on QTL Mapping. One-Dimensional Mapping Approaches. Multiple Interval Mapping. QTL Mapping with Dense Markers. Bayesian Approach to QTL Mapping. Multi-Trait QTL Mapping and eQTL Mapping. Bibliography. Index.

"This book can be very useful for young researchers working on QTL mapping analysis. No a priori training in genetics or statistics is required."—Mathematical Reviews, June 2015"… a good reference for advanced graduate students and researchers working on statistical genetics research. … The book can be used as an advanced reference tool or to supplement a textbook … I found the book’s discussion of various techniques and analytical tools in QTL mapping particularly appealing. The book is unique in terms of the breadth and depth of its statistical treatment in QTL mapping. … The author also provides R code. … Researchers working in statistical genetics with a particular focus on QTL mapping will find this book valuable. It can also help researchers working in other fields to identify potential research topics and begin working in this exciting field."—Journal of the American Statistical Association, June 2015"… the clear writing style and careful development of ideas by the author make it possible to understand the gist of the theoretical aspects of statistical methods for QTL mapping. … important background knowledge and theoretical elements are clearly explicated. Also, the book spends a substantial part on explaining the estimation algorithms for presented methods; readers who are interested in developing computer codes related to the methods can benefit from the book. … good study material for a graduate course on advanced quantitative genetics. … the book is a useful addition to the field of quantitative genetics and can help students and researchers to understand the advanced statistical methods used for QTL mapping."—Biometrics, December 2014

• Biological Background. Selected Topics in Statistics. Quantitative Genetics and General Issues on QTL Mapping. One-Dimensional Mapping Approaches. Multiple Interval Mapping. QTL Mapping with Dense Markers. Bayesian Approach to QTL Mapping. Multi-Trait QTL Mapping and eQTL Mapping. Bibliography. Index.

"This book can be very useful for young researchers working on QTL mapping analysis. No a priori training in genetics or statistics is required."—Mathematical Reviews, June 2015"… a good reference for advanced graduate students and researchers working on statistical genetics research. … The book can be used as an advanced reference tool or to supplement a textbook … I found the book’s discussion of various techniques and analytical tools in QTL mapping particularly appealing. The book is unique in terms of the breadth and depth of its statistical treatment in QTL mapping. … The author also provides R code. … Researchers working in statistical genetics with a particular focus on QTL mapping will find this book valuable. It can also help researchers working in other fields to identify potential research topics and begin working in this exciting field."—Journal of the American Statistical Association, June 2015"… the clear writing style and careful development of ideas by the author make it possible to understand the gist of the theoretical aspects of statistical methods for QTL mapping. … important background knowledge and theoretical elements are clearly explicated. Also, the book spends a substantial part on explaining the estimation algorithms for presented methods; readers who are interested in developing computer codes related to the methods can benefit from the book. … good study material for a graduate course on advanced quantitative genetics. … the book is a useful addition to the field of quantitative genetics and can help students and researchers to understand the advanced statistical methods used for QTL mapping."—Biometrics, December 2014

• Biological Background. Selected Topics in Statistics. Quantitative Genetics and General Issues on QTL Mapping. One-Dimensional Mapping Approaches. Multiple Interval Mapping. QTL Mapping with Dense Markers. Bayesian Approach to QTL Mapping. Multi-Trait QTL Mapping and eQTL Mapping. Bibliography. Index.