Exploring haplotype sharing methods in general and isolated populations to detect gene(s) of a complex genetic trait.
We applied a new haplotype sharing method to the simulated Genetic Analysis Workshop 12 data for both isolated and general populations without knowledge of the disease model, using affection status as phenotype and three different sample sizes. The highest peak for the mean sharing of the haplotypes was found in the isolated population for the markers D06G034 and D06G035, which flank the candidate genes located on chromosome 6, with -log10(p) values of 2.9 and 7.0 in the moderate and large study samples, respectively. The whole genome screen detected three further loci with -log10(p) values of 3.0, which turned out to be false positives. None of the true gene loci were detected in the general population even in the largest sample. The test of linkage disequilibrium based on excess haplotype sharing over the linkage equilibrium expectation revealed z-values one order of magnitude higher in the isolated than in the general population. This approach appears to be promising for mapping genes of complex diseases depending on population characteristics.
Beckmann
L
L
German Cancer Research Center DKFZ, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Fischer
C
C
Deck
K G
KG
Nolte
I M
IM
te Meerman
G
G
Chang-Claude
J
J
D002874:Chromosome Mapping / Q000706:statistics & numerical data; D005819:Genetic Markers / Q000235:genetics; D005828:Genetics, Population; D006239:Haplotypes / Q000235:genetics*; D006801:Humans; D015810:Linkage Disequilibrium / Q000235:genetics; D008432:Mathematical Computing; D008957:Models, Genetic; D010641:Phenotype; D019655:Quantitative Trait, Heritable; D012984:Software
D005819:Genetic Markers