Browse by author
Lookup NU author(s): Dr Ian Wilson
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
We develop a flexible class of MetropolisāHastings algorithms for drawing inferences about population histories and mutation rates from deoxyribonucleic acid (DNA) sequence data. Match probabilities for use in forensic identification are also obtained, which is particularly useful for mitochondrial DNA profiles. Our data augmentation approach, in which the ancestral DNA data are inferred at each node of the genealogical tree, simplifies likelihood calculations and permits a wide class of mutation models to be employed, so that many different types of DNA sequence data can be analysed within our framework. Moreover, simpler likelihood calculations imply greater freedom for generating tree proposals, so that algorithms with good mixing properties can be implemented. We incorporate the effects of demography by means of simple mechanisms for changes in population size and structure, and we estimate the corresponding demographic parameters, but we do not here allow for the effects of either recombination or selection. We illustrate our methods by application to four human DNA data sets, consisting of DNA sequences, short tandem repeat loci, single-nucleotide polymorphism sites and insertion sites. Two of the data sets are drawn from the male-specific Y-chromosome, one from maternally inherited mitochondrial DNA and one from the Ī²-globin locus on chromosome 11.
Author(s): Wilson IJ; Weale ME; Balding DJ
Publication type: Article
Publication status: Published
Journal: Journal of the Royal Statistical Society, Series A: Statistics in Society
Year: 2003
Volume: 166
Issue: 2
Pages: 155-188
ISSN (print): 0964-1998
ISSN (electronic): 1467-985X
Publisher: Wiley-Blackwell Publishing Ltd.
URL: http://web.ebscohost.com/ehost/pdf?vid=3&hid=13&sid=90a485b5-b437-46b1-b5be-e7f9ea26bfa9%40SRCSM2
DOI: 10.1111/1467-985X.00264
Altmetrics provided by Altmetric
