Evaluating differences in linkage disequilibrium between populations.
We propose two methods to evaluate the statistical significance of differences in linkage disequilibrium (LD) between populations, where LD is measured by the standardised parameter D'. The first method is based on bootstrapping individuals within populations in order to test LD differences for each pair of loci. Using this approach we propose a solution to the problem of testing multiple locus-pairs by means of a single test for the number of pairs that exhibit significant LD differences among populations. The second method provides the Bayesian posterior probability that one population has greater LD than the other for each locus pair. Both methods can handle genotypes with unknown phase, and are demonstrated using two data sets. For the purpose of demonstration, we apply the methods to two different sets of data from humans. First, we explore the issue of LD differences between reproductively isolated populations using a new data set of twelve Xq25 microsatellites, typed in four European populations. Second, we examine evidence for LD differences between Alzheimer cases and controls from the Icelandic population using 19 single nucleotide polymorphisms (SNPs) from a 97 kb region flanking the Apolipoprotein E (APOE) gene on chromosome 19.
Hrafnkelsson
Birgir
B
deCODE genetics, 101 Reykjavik, Iceland. birgirhr@hi.is
Helgason
Agnar
A
Jonsson
Gudbjorn F
GF
Gudbjartsson
Daniel F
DF
Jonsson
Thorlakur
T
Thorvaldsson
Sverrir
S
Stefansson
Hreinn
H
Steinthorsdottir
Valgerdur
V
Vidarsdottir
Nanna
N
Middleton
Derek
D
Petersen
Henning S
HS
Martinez
Conrado
C
Snaedal
Jon
J
Jonsson
Palmi V
PV
Bjornsson
Sigurbjorn
S
Gulcher
Jeffrey R
JR
Stefansson
Kari
K
D000544:Alzheimer Disease / Q000235:genetics; D041321:Chromosomes, Human, X; D020022:Genetic Predisposition to Disease; D005828:Genetics, Population; D006801:Humans; D007055:Iceland; D015810:Linkage Disequilibrium; D018895:Microsatellite Repeats; D020641:Polymorphism, Single Nucleotide; D044465:White People / Q000235:genetics