Sangam: A Confluence of Knowledge Streams

A rapid conditional enumeration haplotyping method in pedigrees

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dc.creator Gao, Guimin
dc.creator Hoeschele, Ina
dc.date 2012-08-24T12:07:21Z
dc.date 2012-08-24T12:07:21Z
dc.date 2008-01-15
dc.date 2012-08-24T12:07:21Z
dc.date.accessioned 2023-03-01T18:51:23Z
dc.date.available 2023-03-01T18:51:23Z
dc.identifier Genetics Selection Evolution. 2008 Jan 15;40(1):25-36
dc.identifier http://hdl.handle.net/10919/18908
dc.identifier https://doi.org/10.1186/1297-9686-40-1-25
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281505
dc.description Haplotyping in pedigrees provides valuable information for genetic studies (e.g., linkage analysis and association study). In order to identify a set of haplotype configurations with the highest likelihoods for a large pedigree with a large number of linked loci, in our previous work, we proposed a conditional enumeration haplotyping method which sets a threshold for the conditional probabilities of the possible ordered genotypes at every unordered individual-marker to delete some ordered genotypes with low conditional probabilities and then eliminate some haplotype configurations with low likelihoods. In this article we present a rapid haplotyping algorithm based on a modification of our previous method by setting an additional threshold for the ratio of the conditional probability of a haplotype configuration to the largest conditional probability of all haplotype configurations in order to eliminate those configurations with relatively low conditional probabilities. The new algorithm is much more efficient than our previous method and the widely used software SimWalk2.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en_US
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights Guimin Gao et al.; licensee BioMed Central Ltd.
dc.title A rapid conditional enumeration haplotyping method in pedigrees
dc.title Genetics Selection Evolution
dc.type Article - Refereed
dc.type Text


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