In genetics, mapping functions are used to model the relationship between map distances (measured in map units or centimorgans) and recombination frequencies, particularly as these measurements relate to regions encompassed between genetic markers. One utility of this approach is that it allows one to obtain values for distances in genetic mapping units directly from recombination fractions, as map distances cannot typically be obtained from empirical experiments.[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] The main difference between them is in how crossover interference is incorporated.[6]
- ^ 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.
- ^ Cite error: The named reference
:1was invoked but never defined (see the help page). - ^ Peñalba, Joshua V.; Wolf, Jochen B. W. (2020). "From molecules to populations: appreciating and estimating recombination rate variation". Nature Reviews Genetics. 21 (8): 476–492. doi:10.1038/s41576-020-0240-1. ISSN 1471-0064.