Arnold Saxton, Ph.D., the editor of this volume, is a professor of animal science at the University of Tennessee, Knoxville. During years of research and teaching in statistics and genetics, Dr. Saxton recognized the need for a how-to introduction to SAS computer analysis for complex-trait genetics. He assembled 16 coauthors from around the world to create this unique compilation. Example-rich and experiment-driven, Genetic Analysis of Complex Traits Using SAS demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data. The book guides you through the mix of genetic, statistical, and SAS skills that are needed, enabling you to apply what you've learned to your own experimental data. You'll find this an invaluable resource whether you are a researcher, scientist, graduate student, bioinformatician, or statistician--or any other SAS user interested in joining the highly active and exciting field of genetic analysis.
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Dr. Balzarini, professor of statistics in the Agricultural College at the National University of Córdoba, is a statistical genomics investigator in Argentina. Professor Cappio-Borlino s scientific interests involve the mathematical modeling of biological phenomena of interest in animal science. Dr. Czika, research statistician at SAS Institute and the principal developer of SAS/GeneticsTM procedures, researches statistical methods for analyzing genetic marker data. Dr. Fry is an assistant professor of biology at the University of Rochester. Dr. Gibson is an associate professor of genetics at North Carolina State University. Dr. Guerra is a consultant in applied statistics at the Federal University of Ceara and a visiting professor at the Federal University of Fortaleza in Brazil. Dr. Kang is a professor of quantitative genetics at Louisiana State University. Nicolò P. P. Macciotta researches animal breeding and genetics at the University of Sassari, Italy. Dr. Pulina is a professor of animal science and head of Animal Science at the University of Sassari, Italy. Dr. Rosa is an assistant professor of statistical genetics at Michigan State University. Dr. Saxton is a professor of animal science at the University of Tennessee, Knoxville. Dr. Stalder is an assistant professor in Animal Science at Iowa State University. Dr. Tempelman is associate professor in Animal Science and adjunct associate professor in Statistics and Probability at Michigan State University. Dr. Wolfinger is Director of Genomics at SAS Institute. He is developing procedures and conducting research at SAS. Chenwu Xu is a post-doctoral research associate in statistical genetics at the University of California Riverside. Shizhong Xu is a professor of genetics and adjunct professor of statistics at the University of California Riverside. Xiang Yu has a Ph.D. in bioinformatics. He is a biometrician at Merck Research Laboratory.Review:
This book is a very welcome addition to the toolbox of anyone using the powerful SAS System to analyze the genetic basis of complex traits. Both classic and Bayesian approaches are discussed, with a focus on genetic parameter estimation and gene mapping. An especially nice feature, and indeed worth the price of the book by themselves, are chapters discussing important, but underappreciated, approaches for AMMI modeling of genotype-environment interactions, the analysis of longitudinal traits, and empirical Bayes estimates. --Bruce Walsh
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