In genetics, mapping functions are used to model the relationship between map distance (measured in map units or centimorgans) between markers and recombination frequency between markers. One utility of this is that it allows values to be obtained for genetic distances, which is typically not estimable, from recombination fractions, which typically are.[1]
The simplest mapping function is the Morgan Mapping Function, eponymously devised by Thomas Hunt Morgan. Other well-known mapping functions include the Haldane Mapping Function introduced by J. B. S. Haldane in 1919,[2] and the Kosambi Mapping Function introduced by Damodar Dharmananda Kosambi in 1944.[3][4] Few mapping functions are used in practice other than Haldane and Kosambi.[5]
^Broman, Karl W.; Sen, Saunak (2009). A guide to QTL mapping with R/qtl. Statistics for biology and health. Dordrecht: Springer. p. 14. ISBN 978-0-387-92124-2. OCLC 669122118.
^Haldane, J.B.S. (1919). "The combination of linkage values, and the calculation of distances between the loci of linked factors". Journal of Genetics. 8 (29): 299–309.
^Kosambi, D. D. (1943). "The Estimation of Map Distances from Recombination Values". Annals of Eugenics. 12 (1): 172–175. doi:10.1111/j.1469-1809.1943.tb02321.x. ISSN 2050-1420.
^Wu, Rongling; Ma, Chang-Xing; Casella, George (2007). Statistical genetics of quantitative traits: linkage, maps, and QTL. New York: Springer. p. 65. ISBN 978-0-387-20334-8. OCLC 141385359.
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