“I See Dead People:” Gene Mapping Via Ancestral Inference
نویسندگان
چکیده
We introduce a Markov chain Monte Carlo [MCMC] approach to fine-scale mapping using population data. The method uses the coalescent to model the genealogy underlying a random sample of individuals, and the consequent correlation induced between SNP markers. Using this methodology we can undertake a Bayesian or full maximum likelihood analysis using multiple markers. We apply our approach to an analysis of quantitative trait Q1 and major gene MG1 in replicate 1 of the GAW12 simulated data set. Using random samples of 10 individuals we are often able to locate the region containing the functional mutation influencing Q1.
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