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PubMed · 879713

Counting methods (EM algorithm) in human pedigree analysis: linkage and segregation analysis.

J Ott
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Abstract

The likelihood of human pedigree data can be written in such a form as to allow the computation of derivatives. This is done for various parameters in linkage and segregation analysis. The equations for the maximum likelihood estimates are represented in a particularly appealing form which allows iterative solutions. This process is an extension to pedigress of Smith's (1957) counting methods. All these procedures belong to a general class of MLE methods for incomplete data called EM algorithms (Dempster et al. 1976).

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Gene FrequencyGenetic LinkageGenotypeHumansMathematicsPedigreePhenotypeRecombination, GeneticJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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J Ott. 1977. Counting methods (EM algorithm) in human pedigree analysis: linkage and segregation analysis.. https://pubmed.ncbi.nlm.nih.gov/879713/

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