In silico analysis of disease-association mapping strategies using the coalescent process and incorporating ascertainment and selection.
We present a new method for simulating samples of marker haplotypes, genotypes, or diplotypes in case-control studies in which the markers are linked to a disease locus in any specified region of the genome. The method allows realistic features to be incorporated into the simulations, including selection acting on disease alleles, sample ascertainment of disease chromosomes and polymorphic markers, a genetic dominance model of disease expression that allows incomplete penetrance and phenocopies, and an accurate genetic map of recombination rates and hotspots for recombination in the human genome (or, alternatively, an improved method for simulating the distribution of hotspots). The new method uses an approach that combines simulation of the coalescent process for the sampled chromosomes with a diffusion process used to model the evolution of the disease-mutation frequency over time. Examples illustrate how the method may be used to study the expected power of a marker-disease association study.
Wang
Ying
Y
Genome Center and Section of Evolution and Ecology, University of California Davis, Davis, CA 95616, USA.
Rannala
Bruce
B
D000483:Alleles; D016022:Case-Control Studies; D002874:Chromosome Mapping; D003198:Computer Simulation; D004171:Diploidy; D019143:Evolution, Molecular; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D015894:Genome, Human; D005838:Genotype; D006239:Haplotypes; D006801:Humans; D007700:Kinetics; D008957:Models, Genetic; D015233:Models, Statistical; D009154:Mutation; D019683:Penetrance; D011995:Recombination, Genetic; D012641:Selection, Genetic
D005819:Genetic Markers