Estimation of the Recombination Fraction by the Maximum Likelihood Method in Mapping Interacting Genes Relative to Marker Loci

Estimation of the Recombination Fraction by the Maximum Likelihood Method in Mapping Interacting... For mapping nonlinked interacting genes relative to marker loci, the recombination fractions can be calculated by using the log-likelihood functions were derived that permit estimation of recombinant fractions by solving the ML equations on the basis of F2 data at various types of interaction. In some cases, the recombinant fraction estimates are obtained in the analytical form while in others they are numerically calculated from concrete experimental data. With the same type of epistasis the log-functions were shown to differ depending on the functional role (suppression or epistasis) of the mapped gene. Methods for testing the correspondence of the model and the recombination fraction estimates to the experimental data are discussed. In ambiguous cases, analysis of the linked marker behavior makes it possible to differentiate gene interaction from distorted single-locus segregation, which at some forms of interaction imitate phenotypic ratios. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

Estimation of the Recombination Fraction by the Maximum Likelihood Method in Mapping Interacting Genes Relative to Marker Loci

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Publisher
Kluwer Academic Publishers-Plenum Publishers
Copyright
Copyright © 2002 by MAIK “Nauka/Interperiodica”
Subject
Biomedicine; Human Genetics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1023/A:1015551500184
Publisher site
See Article on Publisher Site

Abstract

For mapping nonlinked interacting genes relative to marker loci, the recombination fractions can be calculated by using the log-likelihood functions were derived that permit estimation of recombinant fractions by solving the ML equations on the basis of F2 data at various types of interaction. In some cases, the recombinant fraction estimates are obtained in the analytical form while in others they are numerically calculated from concrete experimental data. With the same type of epistasis the log-functions were shown to differ depending on the functional role (suppression or epistasis) of the mapped gene. Methods for testing the correspondence of the model and the recombination fraction estimates to the experimental data are discussed. In ambiguous cases, analysis of the linked marker behavior makes it possible to differentiate gene interaction from distorted single-locus segregation, which at some forms of interaction imitate phenotypic ratios.

Journal

Russian Journal of GeneticsSpringer Journals

Published: Oct 13, 2004

References

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