Published online before print
March 12, 2003, 10.1101/gr.387103
Vol 13, Issue 4, 635-643, April 2003
METHODS
Novel Multilocus Measure of Linkage Disequilibrium to Estimate Past Effective Population Size
Ben J. Hayes1,4,
Peter M. Visscher2,
Helen C. McPartlan1 and
Mike E. Goddard1,3
1Victorian Institute of Animal Science, Department of
Natural Resources and Environment, Attwood, Victoria, 3049, Australia;2
University of Edinburgh, Edinburgh EH9 3JG, Scotland, UK;3
Institute of Land and Food Resources, University of
Melbourne, Parkville, Victoria, 3052, Australia
Linkage disequilibrium (LD) between densely spaced, polymorphic
genetic markers in humans and other species contains information about
historical population size. Inferring past population size is of
interest both from an evolutionary perspective (e.g., testing the
"out of Africa" hypothesis of human evolution) and to improve
models for mapping of disease and quantitative trait genes. We propose
a novel multilocus measure of LD, the chromosome segment homozygosity
(CSH). CSH is defined for a specific chromosome segment, up to the full
length of the chromosome. In computer simulations CSH was generally
less variable than the r2 measure of LD, and
variability of CSH decreased as the number of markers in the chromosome
segment was increased. The essence and utility of our novel measure is
that CSH over long distances reflects recent effective population size
(N), whereas CSH over small distances reflects the effective
size in the more distant past. We illustrate the utility of CSH by
calculating CSH from human and dairy cattle SNP and microsatellite
marker data, and predicting N at various times in the past for
each species. Results indicated an exponentially increasing N
in humans and a declining N in dairy cattle. CSH is a valuable
statistic for inferring population histories from haplotype data, and
has implications for mapping of disease loci.
4 Corresponding author.
E-MAIL Ben.Hayes{at}nre.vic.gov.au; FAX 61 39217 4359.
Article and publication are at
http://www.genome.org/cgi/doi/10.1101/gr.387103. Article published online before print in March 2003.

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