Inference on admixture fractions in a mechanistic model of recurrent admixture
Copyright policy )Inference on admixture fractions in a mechanistic model of recurrent admixture
Signatures of recent historical admixture are ubiquitous in human populations. We present a mechanistic model of admixture with two source populations, encompassing recurrent admixture periods and study the distribution of admixture fractions for finite but arbitrary genome size. We provide simulation-based methods to estimate the introgression parameters and discuss the implications of reaching stationarity on estimability of parameters when there are recurrent admixture events with different rates.
- Université Paris Cité France
- University of Idaho United States
- Paris Diderot University France
- National Museum of Natural History France
- French National Centre for Scientific Research France
Models, Genetic, population genetics, Genetic Variation, Bayes Theorem, recurrent admixture, [SDV.GEN] Life Sciences [q-bio]/Genetics, Bayesian computation, Approximation methods and heuristics in mathematical programming, Biological Evolution, stationary distribution, [SDV] Life Sciences [q-bio], Genetics, Population, Humans, Computer Simulation, Genetics and epigenetics, introgression parameters, Algorithms, Probability
Models, Genetic, population genetics, Genetic Variation, Bayes Theorem, recurrent admixture, [SDV.GEN] Life Sciences [q-bio]/Genetics, Bayesian computation, Approximation methods and heuristics in mathematical programming, Biological Evolution, stationary distribution, [SDV] Life Sciences [q-bio], Genetics, Population, Humans, Computer Simulation, Genetics and epigenetics, introgression parameters, Algorithms, Probability
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