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. 2001 Nov;159(3):1299–1318. doi: 10.1093/genetics/159.3.1299

Estimating recombination rates from population genetic data.

P Fearnhead 1, P Donnelly 1
PMCID: PMC1461855  PMID: 11729171

Abstract

We introduce a new method for estimating recombination rates from population genetic data. The method uses a computationally intensive statistical procedure (importance sampling) to calculate the likelihood under a coalescent-based model. Detailed comparisons of the new algorithm with two existing methods (the importance sampling method of Griffiths and Marjoram and the MCMC method of Kuhner and colleagues) show it to be substantially more efficient. (The improvement over the existing importance sampling scheme is typically by four orders of magnitude.) The existing approaches not infrequently led to misleading results on the problems we investigated. We also performed a simulation study to look at the properties of the maximum-likelihood estimator of the recombination rate and its robustness to misspecification of the demographic model.

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Selected References

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