Statistical analysis of crossover interference using the chi-square model.
TLDR
Under the assumption of no chromatid interference, the probability for any single spore or tetrad joint recombination pattern is derived under the chi-square model and comparisons are made between this model and some other tractable models in the literature.Abstract:
The chi-square model (also known as the gamma model with integer shape parameter) for the occurrence of crossovers along a chromosome was first proposed in the 1940's as a description of interference that was mathematically tractable but without biological basis. Recently, the chi-square model has been reintroduced into the literature from a biological perspective. It arises as a result of certain hypothesized constraints on the resolution of randomly distributed crossover intermediates. In this paper under the assumption of no chromatid interference, the probability for any single spore or tetrad joint recombination pattern is derived under the chi-square model. The method of maximum likelihood is then used to estimate the chi-square parameter m and genetic distances among marker loci. We discuss how to interpret the goodness-of-fit statistics appropriately when there are some recombination classes that have only a small number of observations. Finally, comparisons are made between the chi-square model and some other tractable models in the literature.read more
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Statistical Tests for Detection of Misspecified Relationships by Use of Genome-Screen Data
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Assessment of Linkage Disequilibrium by the Decay of Haplotype Sharing, with Application to Fine-Scale Genetic Mapping
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Recombination and Gene Flux Caused by Gene Conversion and Crossing Over in Inversion Heterokaryotypes
TL;DR: Because inversions are ubiquitous in the evolutionary history of many Drosophila species, the effects of inversions on recombination are expected to influence DNA variation patterns.
References
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Journal ArticleDOI
Chromosome Mapping in Saccharomyces: Centromere-Linked Genes.
Journal ArticleDOI
Chiasma interference as a function of genetic distance.
TL;DR: A model in which interference is related directly to genetic distance is devised, which suggests that interference depends on genetic distance (Morgans) rather than physical distance (base pairs or micrometers).
Book ChapterDOI
Map construction in Neurospora crassa.
TL;DR: In this paper, tetrad data from gene-centromere and gene-gene intervals have been placed on a uniform basis for mapping by computing map lengths from second-division segregation frequencies and tetratype segregation frequencies, respectively.
Journal ArticleDOI
Genetic Mapping in Saccharomyces IV. Mapping of Temperature-Sensitive Genes and Use of Disomic Strains in Localizing Genes.
TL;DR: Through use of tetrad, random spore, trisomic, and mitotic analysis procedures a large number of genes, including 48 new genetic markers, were studied for their locations on the genetic maps of the yeast Saccharomyces cerevisiae, finding Functionally-related sets of genes generally were found to be dispersed over the genome.