Lander–Green algorithm: Difference between revisions

Revision as of 09:33, 2 August 2010

Latest revision as of 19:41, 2 September 2017

(3 intermediate revisions by 3 users not shown)

Line 1:

{{See also| Elston–Stewart algorithm}}

The '''Lander–Green algorithm''' is an algorithm, due to [[Eric Lander]] and [[Philip Green (geneticist)| Philip Green]] for computing the [[likelihood]] of observed genotype data given a [[Pedigree chart|pedigree]]. It is appropriate for relatively small pedigrees and a large number of markers. It is used in the analysis of [[genetic linkage]].<ref name="Lander and Green (1987)"> Lander, E.S. and Green, P. (1987) [http://www.pnas.org/content/84/8/2363.full.pdf "Construction of multilocus genetic linkage maps in humans"], ''Proceedings of the National Academy of Sciences'', 84 (8), 2363&ndash;2367</ref><ref name="Abecasis 2005">

Abecasis, G.R., Wigginton, J.E. (2005) [httphttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1271385/ "Handling Marker-Marker Linkage Disequilibrium: Pedigree Analysis with Clustered Markers"], ''Am J Hum Genet.'', 77(5), 754&ndash;767.

</ref>

{{See also| Elston–Stewart algorithm}}

==References==

<references/>

{{DEFAULTSORT:Lander-Green algorithm}}

[[Category:Genetic epidemiology]]

[[Category:Statistical genetics]]

[[Category:Genetic linkage analysis]]

[[Category:Statistical algorithms]]

{{genetics-stub}}

{{statistics-stub}}

[[zh:Lander–Green算法]]