Retrospective Ancestral Recombination Graphs with Applications to Gene Mapping
Linda Hartman and Ola Hössjer
Centre for Mathematical Sciences
Mathematical Statistics
Lund Institute of Technology,
Lund University,
2007
ISSN 1403-9338
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Abstract:
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Rare diseases are often investigated in case-control studies. For the purpose
of gene mapping, sampled case and control genotypes are compared at a set
of marker locations. Closely linked marker loci can be handled by modeling
the genealogy of the sample. We present such a model, which splits the
chromosomes into subpopulations. In this way the model accounts for the
ascertainment process, where cases are typically over sampled. The model
is used for multipoint gene mapping by means of a LOD score. The LOD score
copes with arbitrary phenotypes and genetic models, allows for neutral mutations,
and adapts to marker allele frequencies. Under certain model approximations
we develop a permutation based test that is computationally feasible, even
when haplotype phase is unknown.
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Key words:
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Association analysis; multipoint; unknown haplotype phase; ascertainment;
case-control study; coalescent; identical by descent (IBD); sampling; SNP;
LOD score;
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