05607nam 2200697Ia 450 991081501520332120240514070225.01-283-45393-297866134539381-118-18034-81-118-18035-61-118-18032-1(CKB)2550000000082781(EBL)818517(OCoLC)775869352(SSID)ssj0000611901(PQKBManifestationID)11388652(PQKBTitleCode)TC0000611901(PQKBWorkID)10667303(PQKB)11526555(MiAaPQ)EBC818517(MiAaPQ)EBC4032645(Au-PeEL)EBL818517(CaPaEBR)ebr10534012(CaONFJC)MIL345393(EXLCZ)99255000000008278120110809d2012 uy 0engur|n|---|||||txtccrForward-time population genetics simulations methods, implementation, and applications /Bo Peng, Marek Kimmel, Christopher I. Amos1st ed.Hoboken, N.J. Wiley Blackwellc20121 online resource (258 p.)Description based upon print version of record.0-470-50348-3 Includes bibliographical references and index.FORWARD-TIME POPULATION GENETICS SIMULATIONS: Methods, Implementation, and Applications; CONTENTS; PREFACE; ACKNOWLEDGMENTS; LIST OF EXAMPLES; 1 BASIC CONCEPTS AND MODELS; 1.1 Biological and Genetic Concepts; 1.1.1 Genome and Chromosomes; 1.1.2 Genes, Markers, Loci, and Alleles; 1.1.3 Recombination and Linkage; 1.1.4 Sex Chromosomes; 1.1.5 Mutation and Mutation Models; 1.2 Population and Evolutionary Genetics; 1.2.1 Population Variation and Mutation; 1.2.2 The Wright-Fisher Model and Random Mating; 1.2.3 The Hardy-Weinberg Equilibrium; 1.2.4 Genetic Drift and Effective Population Size1.2.5 Natural Selection1.2.6 Linkage Equilibrium; 1.2.7 Population Structure and Migration; 1.2.8 Demographic History of Human Populations; 1.2.9 Coalescent and Backward-Time Simulations; 1.2.10 Forward-Time Simulations; 1.3 Statistical Genetics and Genetic Epidemiology; 1.3.1 Penetrance Models; 1.3.2 Simple and Complex Genetic Diseases; 1.3.3 Phenotypic, Allelic, and Locus Heterogeneity; 1.3.4 Study Designs of Gene Mapping; References; 2 SIMULATION OF POPULATION GENETICS MODELS; 2.1 Random Genetic Drift; 2.1.1 Dynamics of Allele Frequency and Heterozygosity; 2.1.2 Persistence Time2.2 Demographic Models2.2.1 The Bottleneck Effect; 2.3 Mutation; 2.3.1 A Diallelic Mutation Model; 2.3.2 Multiallelic Mutation Models; 2.4 Migration; 2.4.1 An Island Model of Migration; 2.5 Recombination and Linkage Disequilibrium; 2.6 Natural Selection; 2.6.1 Single-Locus Diallelic Selection Models; 2.6.2 Multilocus Selection Models; 2.7 Genealogy of Forward-Time Simulations; 2.7.1 Genealogy of Haploid Simulations; 2.7.2 Genealogy of Diploid Simulations; References; 3 ASCERTAINMENT BIAS IN POPULATION GENETICS; 3.1 Introduction; 3.2 Methods; 3.2.1 Evolution of a DNA Repeat Locus3.2.2 Conditional Distributions and Ascertainment Bias of Allele Sizes3.2.3 Simulation Method; 3.3 Results; 3.3.1 Summary of Modeling Results; 3.3.2 Comparisons of Empirical Statistics Derived from Human and Chimpanzee Microsatellite Data; 3.4 Discussion and Conclusions; References; 4 OBSERVING PROPERTIES OF EVOLVING POPULATIONS; 4.1 Introduction; 4.1.1 Allelic Spectra of Complex Human Diseases; 4.1.2 An Evolutionary Model of Effective Number of Disease Alleles; 4.1.3 Simulation of the Evolution of ne; 4.2 Simulation of the Evolution of Allele Spectra; 4.2.1 Demographic Models4.2.2 Output Statistics4.2.3 Mutation Models; 4.2.4 Multilocus Selection Models; 4.2.5 Evolve!; 4.2.6 Validation of Theoretical Results; 4.3 Extensions to the Basic Model; 4.3.1 Impact of Demographic Models; 4.3.2 Impact of the Mutation Model; 4.3.3 Impact of Subpopulation Structure; 4.3.4 Impact of Migration; 4.3.5 Distribution of Equilibrium Disease Allele Frequency; 4.3.6 Varying Selection and Mutation Coefficients; 4.3.7 Evolution of Disease Predisposing Loci Under Weak Selection; 4.3.8 Discussion; References; 5 SIMULATING POPULATIONS WITH COMPLEX HUMAN DISEASES; 5.1 Introduction5.2 Controlling Disease Allele Frequencies at the Present GenerationThe only book available in the area of forward-time population genetics simulations-applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies. Forward-Time Population Genetics Simulations presents both new and commonly used methods, and introduces simuPOP, a powerful and flexible new program that can be used to simulate arbitrary evolutionary processes with unique features like customized chromosome types, arbitrary nonrandom mating schemes, virtual subpPopulation geneticsEvolution (Biology)Computer simulationPopulation genetics.Evolution (Biology)Computer simulation.576.5/8Peng Bo1974-1625864Kimmel Marek1959-755485Amos Christopher I1625865MiAaPQMiAaPQMiAaPQBOOK9910815015203321Forward-time population genetics simulations3961589UNINA