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Provedor de dados:  Genet. Mol. Biol.
País:  Brazil
Título:  Model selection for quantitative trait loci mapping in a full-sib family
Autores:  Tong,Chunfa
Zhang,Bo
Li,Huogen
Shi,Jisen
Data:  2012-01-01
Ano:  2012
Palavras-chave:  Full-sib family
Interval mapping
Model selection
Quantitative trait locus
Resumo:  Statistical methods for mapping quantitative trait loci (QTLs) in full-sib forest trees, in which the number of alleles and linkage phase can vary from locus to locus, are still not well established. Previous studies assumed that the QTL segregation pattern was fixed throughout the genome in a full-sib family, despite the fact that this pattern can vary among regions of the genome. In this paper, we propose a method for selecting the appropriate model for QTL mapping based on the segregation of different types of markers and QTLs in a full-sib family. The QTL segregation patterns were classified into three types: test cross (1:1 segregation), F2 cross (1:2:1 segregation) and full cross (1:1:1:1 segregation). Akaike's information criterion (AIC), the Bayesian information criterion (BIC) and the Laplace-empirical criterion (LEC) were used to select the most likely QTL segregation pattern. Simulations were used to evaluate the power of these criteria and the precision of parameter estimates. A Windows-based software was developed to run the selected QTL mapping method. A real example is presented to illustrate QTL mapping in forest trees based on an integrated linkage map with various segregation markers. The implications of this method for accurate QTL mapping in outbred species are discussed.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400013
Editor:  Sociedade Brasileira de Genética
Relação:  10.1590/S1415-47572012005000044
Formato:  text/html
Fonte:  Genetics and Molecular Biology v.35 n.3 2012
Direitos:  info:eu-repo/semantics/openAccess
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