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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]]s) and [[Genetic recombination|recombination]] frequencies, particularly as these measurements relate to regions encompassed between [[genetic marker]]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
== Morgan Mapping Function ==
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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
=== Definitions ===
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=== Formula ===
<math>\ r = \frac{1}{2} (1-e^{-2d})</math>
=== Inverse ===
<math>\ d = -\frac{1}{2} \ln (1-2r)</math>
== Kosambi Mapping Function ==
=== Overview ===
The Kosambi mapping function was introduced to account for the impact played by [[crossover interference]] on recombination frequency. It introduces a parameter C, representing the [[coefficient of coincidence]], and sets it equal to 2r. For loci which are strongly [[Linkage disequilibrium|linked]], interference is strong; otherwise, interference decreases towards zero.<ref name=":1" /> Interference declines according to the linear function i = 1 - 2r.<ref name=":2">{{Cite book |last1=Hartl |first1=Daniel L. |url=https://books.google.com/books?id=cfvILxY9tCIC&dq=haldane%20mapping%20function&pg=PA168 |title=Genetics: analysis of genes and genomes |last2=Jones |first2=Elizabeth W. |date=2005 |publisher=Jones and Bartlett |isbn=978-0-7637-1511-3 |edition=7th |___location=Sudbury, Mass. |pages=168}}</ref>
=== Formula ===
<math>\
=== Inverse ===
<math>\ d = \frac{1}{2} \tanh^{-1} (2r) = \frac{1}{4}\ln(\frac{1+2r}{1-2r})</math>
== Comparison and application ==
Below 10% recombination frequency, there is little mathematical difference between different mapping functions and the relationship between map distance and recombination frequency is linear (that is, 1 map unit = 1% recombination frequency).<ref name=":2" /> When genome-wide SNP sampling and mapping data is present, the difference between the functions is negligible outside of regions of high recombination, such as recombination hotspots or ends of chromosomes.<ref name=":3" />
While many mapping functions now exist,<ref>{{Cite journal |last=Crow |first=J F |date=1990 |title=Mapping functions. |url=https://academic.oup.com/genetics/article/125/4/669/6000769 |journal=Genetics |language=en |volume=125 |issue=4 |pages=669–671 |doi=10.1093/genetics/125.4.669 |issn=1943-2631 |pmc=1204092 |pmid=2204577}}</ref><ref>{{Cite journal |last=Felsenstein |first=Joseph |date=1979 |title=A Mathematically Tractable Family of Genetic Mapping Functions with Different Amounts of Interference |url=https://academic.oup.com/genetics/article/91/4/769/5993247 |journal=Genetics |language=en |volume=91 |issue=4 |pages=769–775 |doi=10.1093/genetics/91.4.769 |issn= |pmc=1216865 |pmid=17248911}}</ref><ref>{{Cite journal |last1=Pascoe |first1=L. |last2=Morton |first2=N.E. |date=1987 |title=The use of map functions in multipoint mapping |journal=American Journal of Human Genetics |volume=40 |issue=2 |pages=174–183|pmid=3565379 |pmc=1684067 }}</ref> in practice functions other than Haldane and Kosambi are rarely used.<ref name=":1" /> More specifically, the Haldane function is preferred when distance between markers is relatively small, whereas the Kosambi function is preferred when distances between markers is larger and crossovers need to be accounted for.<ref>{{Cite book |url=https://books.google.com/books?id=3Ss-ws2Zm6IC&pg=SA17-PA11 |title=Handbook of computational molecular biology |date=2006 |publisher=CRC Press |isbn=978-1-58488-406-4 |editor-last=Aluru |editor-first=Srinivas |series= |___location= |pages=17-10–17-11 |oclc=}}</ref>
== References ==
{{Reflist}}
== Further reading ==
* Bailey, N.T.J., 1961 ''Introduction to the Mathematical Theory of Genetic Linkage''. Clarendon Press, Oxford.
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