12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Estimating recombination rates from population ...
View graph of relations

« Back

Estimating recombination rates from population genetic data.

Research output: Contribution to journalJournal article

Published

Journal publication date11/2001
JournalGenetics
Journal number3
Volume159
Number of pages20
Pages1299-1318
Original languageEnglish

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.

Bibliographic note

RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research