Genetic map function: Difference between revisions

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In [[genetics]], '''mapping functions''' are used to model the relationship between [[Gene mapping|map]] distances (measured in map units or [[Centimorgan|centimorganscentimorgan]]s) and [[Genetic recombination|recombination]] frequencies, particularly as these measurements relate to regions encompassed between [[Geneticgenetic marker|genetic markers]]s. 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.<ref>{{Cite book |last1=Broman |first1=Karl W. |url=https://www.worldcat.org/title/669122118 |title=A guide to QTL mapping with R/qtl |last2=Sen |first2=Saunak |date=2009 |publisher=Springer |isbn=978-0-387-92124-2 |series=Statistics for biology and health |___location=Dordrecht |pages=14 |oclc=669122118}}</ref>

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,<ref>{{Cite journal |last=Haldane |first=J.B.S. |date=1919 |title=The combination of linkage values, and the calculation of distances between the loci of linked factors |url=https://www.ias.ac.in/article/fulltext/jgen/008/04/0299-0309 |journal=Journal of Genetics |volume=8 |issue=29 |pages=299–309}}</ref> and the '''Kosambi Mapping Function''' introduced by [[Damodar Dharmananda Kosambi]] in 1944.<ref>{{Cite journal |last=Kosambi |first=D. D. |date=1943 |title=The Estimation of Map Distances from Recombination Values |url=https://onlinelibrary.wiley.com/doi/10.1111/j.1469-1809.1943.tb02321.x |journal=Annals of Eugenics |language=en |volume=12 |issue=1 |pages=172–175 |doi=10.1111/j.1469-1809.1943.tb02321.x |issn=2050-1420}}</ref><ref name=":0">{{Cite book |last1=Wu |first1=Rongling |url=https://books.google.com/books?id=-NlGKOEQuEsC&dq=haldane%20mapping%20function&pg=PA65 |title=Statistical genetics of quantitative traits: linkage, maps, and QTL |last2=Ma |first2=Chang-Xing |last3=Casella |first3=George |date=2007 |publisher=Springer |isbn=978-0-387-20334-8 |___location=New York |pages=65 |oclc=141385359}}</ref> Few mapping functions are used in practice other than Haldane and Kosambi.<ref name=":1" /> The main difference between them is in how [[crossover interference]] is incorporated.<ref name=":3">{{Cite journal |last1=Peñalba |first1=Joshua V. |last2=Wolf |first2=Jochen B. W. |date=2020 |title=From molecules to populations: appreciating and estimating recombination rate variation |url=https://www.nature.com/articles/s41576-020-0240-1 |journal=Nature Reviews Genetics |language=en |volume=21 |issue=8 |pages=476–492 |doi=10.1038/s41576-020-0240-1 |issn=1471-0064}}</ref>

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=== Overview ===

Two properties of the Haldane Mapping Function is that it limits recombination frequency up to, but not beyond 50%, and that it represents a linear relationship between the frequency of recombination and map distance up to recombination frequencies of 10%.<ref>{{Cite web |title=mapping function |url=https://www.oxfordreference.com/display/10.1093/oi/authority.20110803100132641 |access-date=2024-04-29 |website=Oxford Reference |language=en }}</ref> It also assumes that crossovers occur at random positions and that they do so independent of one another. This assumption therefore also assumes no [[crossover interference]] takes place;<ref name=":1">{{Cite book |title=Mammalian genomics |date=2005 |publisher=CABI Pub |isbn=978-0-85199-910-4 |editor-last=Ruvinsky |editor-first=Anatoly |___location=Wallingford, Oxfordshire, UK ; Cambridge, MA, USA |pages=15 |editor-last2=Graves |editor-first2=Jennifer A. Marshall}}</ref> but using this assumption allows Haldane to model the mapping function using a [[Poisson distribution]].<ref name=":0" />

=== Definitions ===