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Incorporating interference into linkage analysis for experimental crosses

Armstrong, N.J.ORCID: 0000-0002-4477-293X and McPeek, M.S. (2005) Incorporating interference into linkage analysis for experimental crosses. Biostatistics, 7 (3). pp. 374-386.

Link to Published Version: https://doi.org/10.1093/biostatistics/kxj012
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Abstract

The phenomenon of interference in genetic recombination is well-known and studied in a wide variety of organisms. Multilocus linkage analysis, which makes use of recombination patterns among all genetic markers simultaneously, is routinely used with data on humans and experimental organisms to build genetic maps. It is also used to try to determine the genes involved in traits of interest, such as common diseases. Most linkage analyses performed today ignore the occurrence of genetical interference. We present an extension to the Lander–Green algorithm for experimental crosses (backcross and intercross) to incorporate crossover interference according to the χ2 model. Simulation results show the impact of using this model on the accuracy of estimated genetic maps.

Item Type: Journal Article
Journal or Publication Title: Biostatistics
Page Range: pp. 374-386
Publisher: Oxford University Press
Copyright: © The Author 2005
URI: http://researchrepository.murdoch.edu.au/id/eprint/29720
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