title: Markov chain Monte Carlo linkage analysis of complex quantitative phenotypes.
abstract: We report a Markov chain Monte Carlo analysis of the five simulated quantitative traits in Genetic Analysis Workshop 12 using the Loki software. Our objectives were to determine the efficacy of the Markov chain Monte Carlo method and to test a new scoring technique. Our initial blind analysis, on replicate 42 (the "best replicate") successfully detected four out of the five disease loci and found no false positives. A power analysis shows that the software could usually detect 4 of the 10 trait/gene combinations at an empirical point-wise p-value of 1.5 x 10(-4).
authors.affiliation: Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
authors.forename: A
authors.initials: A
authors.lastname: Hinrichs
authors.forename: T
authors.initials: T
authors.lastname: Reich
mesh_terms: D002874:Chromosome Mapping / Q000706:statistics & numerical data*; D020022:Genetic Predisposition to Disease; D006801:Humans; D008126:Lod Score; D008390:Markov Chains; D008432:Mathematical Computing; D008957:Models, Genetic; D009010:Monte Carlo Method; D010641:Phenotype; D012984:Software