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Transition Densities and Sample Frequency Spectra of Diffusion Processes with Selection and Variable Population Size
Author(s) -
Daniel Živković,
Matthias Steinrücken,
Yun S. Song,
Wolfgang Stephan
Publication year - 2015
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.115.175265
Subject(s) - sample size determination , population size , selection (genetic algorithm) , population , statistics , piecewise , mathematics , constant (computer programming) , effective population size , statistical physics , sample (material) , biology , econometrics , computer science , physics , mathematical analysis , demography , artificial intelligence , sociology , thermodynamics , programming language , genetic diversity
Advances in empirical population genetics have made apparent the need for models that simultaneously account for selection and demography. To address this need, we here study the Wright-Fisher diffusion under selection and variable effective population size. In the case of genic selection and piecewise-constant effective population sizes, we obtain the transition density by extending a recently developed method for computing an accurate spectral representation for a constant population size. Utilizing this extension, we show how to compute the sample frequency spectrum in the presence of genic selection and an arbitrary number of instantaneous changes in the effective population size. We also develop an alternate, efficient algorithm for computing the sample frequency spectrum using a moment-based approach. We apply these methods to answer the following questions: If neutrality is incorrectly assumed when there is selection, what effects does it have on demographic parameter estimation? Can the impact of negative selection be observed in populations that undergo strong exponential growth?

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