Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.1541-0420.2005.00327.x
Title: The full EM algorithm for the MLEs of QTL effects and positions and their estimated variances in multiple-interval mapping
Authors: Chen, Z. 
Keywords: Backcross
EM algorithm
Intercross
Maximum likelihood estimate
Multiple-interval mapping
Observed Fisher information
QTL mapping
Issue Date: Jun-2005
Citation: Chen, Z. (2005-06). The full EM algorithm for the MLEs of QTL effects and positions and their estimated variances in multiple-interval mapping. Biometrics 61 (2) : 474-480+650. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1541-0420.2005.00327.x
Abstract: The advent of complete genetic linkage maps of DNA markers has made systematic studies of mapping quantitative trait loci (QTL) in experimental organisms feasible. The method of multiple-interval mapping provides an appropriate way for mapping QTL using genetic markers. However, efficient algorithms for the computation involved remain to be developed. In this article, a full EM algorithm for the simultaneous computation of the MLEs of QTL effects and positions is developed. EM-based formulas are derived for computing the observed Fisher information matrix. The full EM algorithm is compared with an ECM algorithm developed by Kao and Zeng (1997, Biometrics 53, 653-665). The validity of the inverted observed Fisher information matrix as an estimate of the variance matrix of the MLEs is demonstrated by a simulation study.
Source Title: Biometrics
URI: http://scholarbank.nus.edu.sg/handle/10635/105421
ISSN: 0006341X
DOI: 10.1111/j.1541-0420.2005.00327.x
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