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Record Nr. |
UNINA9910815015203321 |
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Autore |
Peng Bo <1974-> |
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Titolo |
Forward-time population genetics simulations : methods, implementation, and applications / / Bo Peng, Marek Kimmel, Christopher I. Amos |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley Blackwell, c2012 |
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ISBN |
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1-283-45393-2 |
9786613453938 |
1-118-18034-8 |
1-118-18035-6 |
1-118-18032-1 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (258 p.) |
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Altri autori (Persone) |
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KimmelMarek <1959-> |
AmosChristopher I |
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Disciplina |
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Soggetti |
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Population genetics |
Evolution (Biology) - Computer simulation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 Size |
1.2.5 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; |
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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 Time |
2.2 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 Locus |
3.2.2 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 Models |
4.2.2 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 Introduction |
5.2 Controlling Disease Allele Frequencies at the Present Generation |
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Sommario/riassunto |
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The 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 subp |
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