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Klappentext The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However! the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling! including 5 new chapters covering metabolic networks! graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics! Genome-wide Association Studies! Family-based Association Studies! Pharmacogenetics! Epigenetics! Ethic and Insurance.As with the second Edition! the Handbook includes a glossary of terms! acronyms and abbreviations! and features extensive cross-referencing between the chapters! tying the different areas together. With heavy use of up-to-date examples! real-life case studies and references to web-based resources! this continues to be must-have reference in a vital area of research.Edited by the leading international authorities in the field.David Balding - Department of Epidemiology & Public Health! Imperial CollegeAn advisor for our Probability & Statistics series! Professor Balding is also a previous Wiley author! having written Weight-of-Evidence for Forensic DNA Profiles! as well as having edited the two previous editions of HSG. With over 20 years teaching experience! he's also had dozens of articles published in numerous international journals.Martin Bishop - Head of the Bioinformatics Division at the HGMP Resource CentreAs well as the first two editions of HSG! Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics.Chris Cannings - Division of Genomic Medicine! University of SheffieldWith over 40 years teaching in the area! Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG! he also authored a book on this topic. Zusammenfassung The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. Inhaltsverzeichnis List of contributorsEditor's Preface to the Third EditionGlossary of TermsAbbreviations and AcronymsChromosome MapsStatistical Significance in Biological SequenceBayesian Methods in Biological Sequence AnalysisStatistical Approaches in Eukaryotic Gene PredictionComparative GenomicsAnalysis of Microarray Gene Expression DataInferences from microarray dataBayesian methods for microarray dataeQTL analysesProtein StructureMetabonomicsAdaptive Molecular EvolutionGenome EvolutionProbabilistic Models for the Study of Protein EvolutionApplication of the Likelihood Function in PhylogeneticPhylogenetics: Parsimony! Networks and DistancesEvolutionary Quantitative GeneticsQuantitative Trait Loci in Inbred LinesMapping Quantitative Trait Loci Outbred PedigreesInferences from Mixed Models in Quantitative GeneticsMarker-Assisted Selection and IntrogressionMathematical Models in Population GeneticsInference! simulation and enumeration of pedigrees and genealogiesGraphical modelling in geneticsCoalescent TheoryInference Under the CoalescentLinkage Disequilibrium! recombination and selectionInferences from Spatial Population GeneticsAnalysis of Population SubdivisionConservation GeneticsHuman population genetics/historyEpidemiology and Genetic EpidemiologyLinkage AnalysisNonparametric LinkageAdmixture mapping and population structure in a...
