Literature DB >> 879713

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

J Ott.   

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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Year:  1977        PMID: 879713

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  17 in total

1.  Analytical methods for immunogenetic population data.

Authors:  Steven J Mack; Pierre-Antoine Gourraud; Richard M Single; Glenys Thomson; Jill A Hollenbach
Journal:  Methods Mol Biol       Date:  2012

2.  Association analysis of SLC22A4, SLC22A5 and DLG5 in Japanese patients with Crohn disease.

Authors:  Keiko Yamazaki; Masakazu Takazoe; Torao Tanaka; Toshiki Ichimori; Susumu Saito; Aritoshi Iida; Yoshihiro Onouchi; Akira Hata; Yusuke Nakamura
Journal:  J Hum Genet       Date:  2004-10-19       Impact factor: 3.172

3.  An estimating function approach to linkage heterogeneity.

Authors:  He Gao; Ying Zhou; Weijun Ma; Haidong Liu; Linan Zhao
Journal:  J Genet       Date:  2013-12       Impact factor: 1.166

4.  Functional polymorphisms of FGA, encoding alpha fibrinogen, are associated with susceptibility to venous thromboembolism in a Taiwanese population.

Authors:  Yu-Lin Ko; Lung-An Hsu; Tsu-Shiu Hsu; Chia-Ti Tsai; Ming-Sheng Teng; Semon Wu; Chi-Jen Chang; Ying-Shiung Lee
Journal:  Hum Genet       Date:  2005-12-14       Impact factor: 4.132

5.  A new statistical test for linkage heterogeneity.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1988-02       Impact factor: 11.025

6.  Maximum likelihood estimation by counting methods under polygenic and mixed models in human pedigrees.

Authors:  J Ott
Journal:  Am J Hum Genet       Date:  1979-03       Impact factor: 11.025

7.  An E-M algorithm and testing strategy for multiple-locus haplotypes.

Authors:  J C Long; R C Williams; M Urbanek
Journal:  Am J Hum Genet       Date:  1995-03       Impact factor: 11.025

8.  A combined test of linkage heterogeneity.

Authors:  D R Goldstein
Journal:  Am J Hum Genet       Date:  1994-10       Impact factor: 11.025

9.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

10.  The search for heterogeneity in insulin-dependent diabetes mellitus (IDDM): linkage studies, two-locus models, and genetic heterogeneity.

Authors:  S E Hodge; C E Anderson; K Neiswanger; R S Sparkes; D L Rimoin
Journal:  Am J Hum Genet       Date:  1983-11       Impact factor: 11.025

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