title: Joint linkage and linkage disequilibrium mapping in natural populations.
abstract: A new strategy for studying the genome structure and organization of natural populations is proposed on the basis of a combined analysis of linkage and linkage disequilibrium using known polymorphic markers. This strategy exploits a random sample drawn from a panmictic natural population and the open-pollinated progeny of the sample. It is established on the principle of gene transmission from the parental to progeny generation during which the linkage between different markers is broken down due to meiotic recombination. The strategy has power to simultaneously capture the information about the linkage of the markers (as measured by recombination fraction) and the degree of their linkage disequilibrium created at a historic time. Simulation studies indicate that the statistical method implemented by the Fisher-scoring algorithm can provide accurate and precise estimates for the allele frequencies, recombination fractions, and linkage disequilibria between different markers. The strategy has great implications for constructing a dense linkage disequilibrium map that can facilitate the identification and positional cloning of the genes underlying both simple and complex traits.
authors.affiliation: Department of Statistics, University of Florida, 533 McCarty Hall C., Gainesville, FL 32611, USA. rwu@stat.ufl.edu
authors.forename: R
authors.initials: R
authors.lastname: Wu
authors.forename: Z B
authors.initials: ZB
authors.lastname: Zeng
mesh_terms: D000483:Alleles; D000818:Animals; D002874:Chromosome Mapping; D003433:Crosses, Genetic; D017343:Genes, Plant; D008040:Genetic Linkage; D005819:Genetic Markers; D005828:Genetics, Population; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical; D011110:Polymorphism, Genetic
chemical_list: D005819:Genetic Markers