Issue |
Genet. Sel. Evol.
Volume 34, Number 3, May-June 2002
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|
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Page(s) | 353 - 369 | |
DOI | https://doi.org/10.1051/gse:2002012 |
Genet. Sel. Evol. 34 (2002) 353-369
DOI: 10.1051/gse:2002012
A Bayesian approach for constructing genetic maps when markers are miscoded
Guilherme J.M. Rosaa, Brian S. Yandellb and Daniel Gianolaca Department of Biostatistics, UNESP, Botucatu, SP, Brazil
b Departments of Statistics and of Horticulture, University of Winconsin, Madison, WI, USA
c Departments of Animal Science and of Biostatistics & Medical Informatics, University of Wisconsin, Madison, WI, USA
(Received 10 September 2001; accepted 8 February 2002)
Abstract
The advent of molecular markers has created opportunities for a better
understanding of quantitative inheritance and for developing novel
strategies for genetic improvement of agricultural species, using
information on quantitative trait loci (QTL). A QTL analysis relies on
accurate genetic marker maps. At present, most statistical methods
used for map construction ignore the fact that molecular data may be
read with error. Often, however, there is ambiguity about some marker
genotypes. A Bayesian MCMC approach for inferences about a genetic
marker map when random miscoding of genotypes occurs is presented, and
simulated and real data sets are analyzed. The results suggest that
unless there is strong reason to believe that genotypes are
ascertained without error, the proposed approach provides more
reliable inference on the genetic map.
Key words: genetic map construction / miscoded genotypes / Bayesian inference
Correspondence and reprints: Guilherme J.M. Rosa
e-mail: rosag@msu.edu
© INRA, EDP Sciences 2002