Detection of closely linked multiple quantitative trait loci using a genetic algorithm.

摘要: The existence of a quantitative trait locus (QTL) is usually tested using the likelihood on basis phenotypic character data plus recombination fraction between QTL and flanking markers. When doing this, calculated for all possible locations linkage map. multiple are suspected close by, it impractical to calculate combinations numbers QTL. Here, we propose genetic algorithm (GA) heuristic solution this problem. GA can globally search optimum by improving “genotype” with alterations called “recombination” “mutation.” our number location “fitness” function based Akaike’s information criterion (AIC), which helps avoid false-positive A simulation study comparing new method existing mapping packages shows advantage GA. reliably distinguishes located in single marker interval.