Statistical Genetics of Quantitative Traits by Rongling Wu
Most traits in nature and of importance to agriculture are quantitatively inherited. These traits are di?cult to study due to the complex nature of their inheritance. However, recent developments of genomic technologies provide a revolutionary means for unraveling the secrets of genetic variation in quantitative traits. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Statistical analysis is a crucial tool for analyzing genome data, which are now becoming increasingly available for a variety of species, and for giving precise exp- nations regarding genetic variation in quantitative traits occurring among species, populations, families, and individuals. In 1989, Lander and Botstein published a ha- mark methodological paper for interval mapping that enables geneticists to detect and estimate individual QTL that control the phenotype of a trait. Today, interval mappingisanimportantstatisticaltoolforstudyingthegeneticsofquantitativetraits at the molecular level, and has led to the discovery of thousands of QTLs responsible for a variety of traits in plants, animals, and humans. In a recent study published in Science, Li, Zhou, and Sang (2006, 311, 1936-1939) were able to characterize the molecular basis of the reduction of grain shattering - a fundamental selection process for rice domestication - at the detected QTL by interval mapping.-
Regression Methods in Biostatistics
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Bioinformatics and Computational Biology Solutions Using R and Bioconductor
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Survival Analysis
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Mixed Effects Models and Extensions in Ecology with R
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Logistic Regression
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Applying Quantitative Bias Analysis to Epidemiologic Data
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Mathematical and Statistical Methods for Genetic Analysis
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Statistical Design and Analysis of Biological Experiments
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Capture-Recapture: Parameter Estimation for Open Animal Populations
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Applied Multivariate Statistics with R
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A Guide to QTL Mapping with R/qtl
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Statistical Inference on Residual Life
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Epidemiologic Studies in Cancer Prevention and Screening
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Likelihood and Bayesian Inference
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The Fundamentals of Modern Statistical Genetics
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The Analysis of Gene Expression Data
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Bayesian Methods in Structural Bioinformatics
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Analysis of Genetic Association Studies
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Statistical Methods for Dynamic Treatment Regimes
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Regression with Linear Predictors
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Statistical Analysis of Panel Count Data
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Forecasting the Health of Elderly Populations
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The Use of Restricted Significance Tests in Clinical Trials
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Cancer Mortality and Morbidity Patterns in the U.S. Population
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Design, Analysis, and Interpretation of Genome-Wide Association Scans
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Proportional Hazards Regression
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Epidemiology
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Adaptive Regression for Modeling Nonlinear Relationships
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Statistical Learning in Genetics
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Analysing Seasonal Health Data
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Meta-Analysis
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Nonclinical Statistics for Pharmaceutical and Biotechnology Industries
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Modern Infectious Disease Epidemiology
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Statistical Methods for Disease Clustering
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Medical Applications of Finite Mixture Models
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Analyzing Medical Data Using S-PLUS
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Modeling Survival Data: Extending the Cox Model
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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
From the Reviews:
"[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)
"...[T]his is an ideal book for a young researcher looking for an exciting and developing field to get into." (International Statistics Review, April 2008)
| SKU | Unavailable |
| ISBN 13 | 9780387203348 |
| ISBN 10 | 0387203346 |
| Title | Statistical Genetics of Quantitative Traits |
| Author | Rongling Wu |
| Series | Statistics For Biology And Health |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2007-07-31 |
| Number of pages | 368 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |