title: Monte Carlo comparison of preliminary methods for ordering multiple genetic loci.
abstract: We carried out a simulation study to compare the power of eight methods for preliminary ordering of multiple genetic loci. Using linkage groups of six loci and a simple pedigree structure, we considered the effects on method performance of locus informativity, interlocus spacing, total distance along the chromosome, and sample size. Method performance was assessed using the mean rank of the true order, the proportion of replicates in which the true order was the best order, and the number of orders that needed to be considered for subsequent multipoint linkage analysis in order to include the true order with high probability. A new method which maximizes the sum of adjacent two-point maximum lod scores divided by the equivalent number of informative meioses and the previously described method which minimizes the sum of adjacent recombination fraction estimates were found to be the best overall locus-ordering methods for the situations considered, although several other methods also performed well.
authors.affiliation: Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor 48109.
authors.forename: J M
authors.initials: JM
authors.lastname: Olson
authors.forename: M
authors.initials: M
authors.lastname: Boehnke
mesh_terms: D002874:Chromosome Mapping; D003198:Computer Simulation; D008040:Genetic Linkage; D008126:Lod Score; D008957:Models, Genetic; D009010:Monte Carlo Method