Published Books
Statistical Genetics of Quantitative Traits by Rongling Wu Chang-Xing Ma, and George Casella
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"...this is an ideal book for a young researcher looking for an exciting and developing field to get into." (International Statistics Review, April 2008) "[I]t is a big help and guidance in the field of statistical developments for genetic mapping, synthesised all in one volume helping to build a bridge between genetics and statistics." (Lutz Bunger, Genetic Research, 89, 2007) |
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The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlife species.
The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods. The book also includes exercise sets and computer codes for all the analyses used.
This book can serve as a textbook for graduates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful to researchers and other professionals in the areas of statistics, biology and agriculture.
Statistical and Computational Pharmacogenomics by Rongling Wu and Min Lin
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Building a bridge between pharmacogenomics and statistics, Statistical and Computational Pharmacogenomics allows researchers to readily familiarize themselves with this promising and revolutionary area of science. It outlines the powerful statistical techniques used in the fast-growing field of pharmacogenomics, which seeks to understand the relationships between interpatient variability in drug response and specific genomic sites. Providing geneticists with the tools needed to understand and model the genetic variations for drug responses, this seminal work also equips statisticians with the motivation and ideas needed to explore genomic data.
Exciting Implications for the Future of Drug Therapies
In addition to providing a synthesis of statistical methodology for the pharmocogenomic study of drug response, this cutting-edge, authoritative text developseach method step-by-step, while keeping theoretical details to a minimum. It also presents detailed, worked examples that outline how to apply the discussed methods and outlines the necessary statistical and computational theories for genetic mapping of dynamic traits.
Indicative of the depth of this groundbreaking, multidisciplinary research and its exciting implications for the future of drug therapies, it is now possible to document, map, and understand the structure and patterns of the human genome linked to drug response. The pioneering process of functional mapping has the potential to revolutionize the use of many medications with "tailored treatment plans" based on patients' individual genetic makeup. This will ideally lead to optimalprescriptions, optimal administration times, and optimal dosage scheduling.