Conditional gene genealogies given the population pedigree for a diploid Moran model with selfing
Maximillian Newman, John Wakeley, Wai-Tong Louis Fan

TL;DR
This paper models how the population pedigree influences gene genealogies in a diploid Moran model with selfing, revealing different coalescence behaviors depending on selfing versus outcrossing levels.
Contribution
It introduces a stochastic model linking population pedigree to gene genealogies, providing new insights into coalescence times under various selfing and outcrossing regimes.
Findings
Coalescence times converge to a limit law as population size grows.
Different behaviors emerge depending on selfing/outcrossing balance.
Pedigree structure significantly affects genealogical predictions.
Abstract
We introduce a stochastic model of a population with overlapping generations and arbitrary levels of self-fertilization versus outcrossing. We study how the global graph of reproductive relationships, or population pedigree, influences the genealogical relationships of a sample of two gene copies at a genetic locus. Specifically, we consider a diploid Moran model with constant population size over time, in which a proportion of offspring are produced by selfing. We show that the conditional distribution of the pairwise coalescence time at a single locus given the random pedigree converges to a limit law as tends to infinity. The distribution of coalescence times obtained in this way predicts variation among unlinked loci in a sample of individuals. Traditional coalescent analyses implicitly average over pedigrees and generally make different predictions. We describe three…
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Taxonomy
TopicsEvolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
