
Some Mathematical Models from Population Genetics
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Content
- Some Mathematical Models from Population Genetics
- Preface
- Contents
- 1 Introduction
- 2 Mutation and Random Genetic Drift
- 2.1 The Wright-Fisher Model and the Kingman Coalescent
- 2.2 The Cannings Model
- 2.3 Selfing
- 2.4 Adding Mutations
- 2.5 Inferring Genealogies From Data
- 2.6 Some Properties of Kingman's Coalescent
- 2.7 Genealogies and Pedigrees
- 2.8 The Moran Model
- 2.9 The Site Frequency Spectrum
- 2.10 The Lookdown Process
- 2.11 A More Simplistic Limit
- 3 One Dimensional Diffusions
- 3.1 Diffusions
- 3.2 Convergence to Diffusions
- 3.3 Speed and Scale
- 3.4 Hitting Probabilities and Feller's Boundary Classification
- 3.5 Green's Functions
- 3.6 Stationary Distributions and Reversibility
- 4 More than Two Types
- 4.1 Multi-Dimensional Diffusion Models
- 4.2 The Poisson-Dirichlet and GEM Distributions
- 4.3 Ewens Sampling Formula
- 5 Selection
- 5.1 Genetic Diversity
- 5.2 Wright-Fisher Model with Selection
- 5.3 Selection in a Diploid Population
- 5.4 The Ancestral Selection Graph
- 5.5 Adding Structure to the Coalescent
- 5.6 Selective Sweeps
- 5.7 Coalescents with Multiple Mergers
- 6 Spatial Structure
- 6.1 Subdivided Populations and the Structured Coalescent
- 6.2 Duality
- 6.3 Collapse of Structure
- 6.4 Evolution in a Spatial Continuum and the Pain in the Torus
- 6.5 The Spatial -Fleming-Viot Process
- 6.6 More General Models
- References
- List of Participants
- Index
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