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A Faster and More General Hidden Markov Model Algorithm for Multipoint Likelihood Calculations

 

作者: Ramana M. Idury,   Robert C. Elston,  

 

期刊: Human Heredity  (Karger Available online 1997)
卷期: Volume 47, issue 4  

页码: 197-202

 

ISSN:0001-5652

 

年代: 1997

 

DOI:10.1159/000154413

 

出版商: S. Karger AG

 

关键词: Homozygosity mapping;Inheritance vectors;Linkage analysis;Recombination fraction

 

数据来源: Karger

 

摘要:

There are two basic algorithms for calculating multipoint linkage likelihoods: in one the computational effort increases linearly with the number of pedigree members and exponentially with the number of markers, in the other the effort increases exponentially with the number of persons but linearly with the number of markers. We describe a faster version of the latter algorithm for which there is no penalty in making the recombination fraction meiosis specific. This can lead to faster and potentially more powerful linkage analysis whenever the number of nonfounder meioses in a pedigree is not too large.

 

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