Maximum likelihood estimation of recombination rates from population data.

Abstract:

:We describe a method for co-estimating r = C/mu (where C is the per-site recombination rate and mu is the per-site neutral mutation rate) and Theta = 4N(e)mu (where N(e) is the effective population size) from a population sample of molecular data. The technique is Metropolis-Hastings sampling: we explore a large number of possible reconstructions of the recombinant genealogy, weighting according to their posterior probability with regard to the data and working values of the parameters. Different relative rates of recombination at different locations can be accommodated if they are known from external evidence, but the algorithm cannot itself estimate rate differences. The estimates of Theta are accurate and apparently unbiased for a wide range of parameter values. However, when both Theta and r are relatively low, very long sequences are needed to estimate r accurately, and the estimates tend to be biased upward. We apply this method to data from the human lipoprotein lipase locus.

journal_name

Genetics

journal_title

Genetics

authors

Kuhner MK,Yamato J,Felsenstein J

keywords:

subject

Has Abstract

pub_date

2000-11-01 00:00:00

pages

1393-401

issue

3

eissn

0016-6731

issn

1943-2631

journal_volume

156

pub_type

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