title: Estimating meiotic exchange patterns from recombination data: an application to humans.
abstract: We present analytical methods to estimate the recombinational history of chromosomes in a human population. Our analysis, similar to those utilized in Drosophila, can be used to construct meiotic maps based upon crossover frequencies observed in family data. We apply this method of exchange estimation to a population of paternally and maternally inherited chromosomes 21. The patterns of chromosomal exchange estimated by this type of analysis are comparable to those obtained by the more technically difficult method of cytologically counting chiasmata among human male meiotic events (sperm). This type of analysis can be applied to both male and female meiosis, circumventing many technical problems inherent to cytological counting. Moreover, the distribution of exchange locations along a chromosome for each exchange type (i.e., single, double, or triple exchanges) can be examined individually, an advantage compared to examination of genetic maps that only provide a summary of these distributions. We discuss how this analysis can be used to examine various assumptions concerning meiotic exchange in humans and investigate properties of the analysis that contribute to the accuracy of the results.
authors.affiliation: Department of Genetics, Emory University, Atlanta, Georgia 30322, USA.
authors.forename: N E
authors.initials: NE
authors.lastname: Lamb
authors.forename: E
authors.initials: E
authors.lastname: Feingold
authors.forename: S L
authors.initials: SL
authors.lastname: Sherman
mesh_terms: D005260:Female; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D008540:Meiosis; D011995:Recombination, Genetic