The availability of reliable genetic linkage maps is crucial for functional and evolutionary genomic analyses. Established theory and methods of genetic linkage analysis have made map construction a routine exercise in diploids. However, many evolutionarily, ecologically, and/or agronomically important species are autopolyploids, with autotetraploidy being a typical example. These species undergo much more complicated chromosomal segregation and recombination at meiosis than diploids. In addition, there is evidence of polyploidy-induced and highly dynamic changes in the structure of the genome. These polysomic characteristics indicate the inappropriateness of the theory and methods of linkage analysis in diploids for use in these species and a gap in the theory and methodology of tetraploid map construction. This paper presents a theoretical model and statistical framework for multilocus linkage analysis in autotetraploids for use with dominant and/or codominant DNA molecular markers. The theory and methods incorporate the essential features of allele segregation and recombination under tetrasomic inheritance and the major challenges in statistical modeling and marker data analysis. We validated the method and explored its statistical properties by intensive simulation study and demonstrated its utility by analysis of AFLP and SSR marker data from an outbred autotetraploid potato population.autotetraploid species | tetrasomic inheritance | outbred populations | map construction P olyploidization, the simultaneous duplication of all genes in a genome, has been ubiquitous in plant evolutionary history, with ≈70% of angiosperms being polyploids (1). Allopolyploids display disomic inheritance and their genetic analysis follows the same principles as diploids, whereas autopolyploids display more complicated polysomic inheritance. Among autopolyploids exist important autotetraploids including agricultural crops, notably cultivated potato, and aquaculture animals such as Atlantic salmon and trout, for which active genome projects are underway. These projects will generate abundant genetic polymorphisms and, thus, enable construction of genetic maps, which are essential for dissecting quantitative trait loci (QTL) and, in turn, for improving efficiency of breeding programs through marker assisted selection.Genetic linkage maps exist or are becoming rapidly available in almost all important diploid animal and plant species and humans, providing an essential starting point for an insightful genomic investigation. In sharp contrast, progress in autopolyploid linkage analysis, the theoretical kernel for map construction, lags far behind. In autopolyploids, multivalent meiotic pairing of homologous chromosomes, followed by crossing over between the locus and spindle attachment, may cause double reduction, in which sister chromatids enter into the same gamete (2). Recombination frequency between a pair of loci can be as high as 0.75 under a tetrasomic model (compared to 0.5 in diploids), and double reduction can occur at a fr...