Data/hora: 10/06/2024 00:45:05

Provedor de dados: | 74
País: | Brazil
Título: | Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population
Autores: | Silva,Fabyano Fonseca; Tunin,Karen P.; Rosa,Guilherme J.M.; Silva,Marcos V.B. da; Azevedo,Ana Luisa Souza; Verneque,Rui da Silva; Machado,Marco Antonio; Packer,Irineu Umberto.
Data: | 2011-01-01
Ano: | 2011
Palavras-chave: | Dairy; Cattle; Tick infestation; QTL regression; Generalized linear model.
Resumo: | Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number of ticks/animal is characterized as a discrete-counting trait, which could potentially follow Poisson distribution. However, in the case of an excess of zeros, due to the occurrence of several noninfected animals, zero-inflated Poisson and generalized zero-inflated distribution (GZIP) may provide a better description of the data. Thus, the objective here was to compare through simulation, Poisson and ZIP models (simple and generalized) with classical approaches, for QTL mapping with counting phenotypes under different scenarios, and to apply these approaches to a QTL study of tick resistance in an F2 cattle (Gyr x Holstein) population. It was concluded that, when working with zero-inflated data, it is recommendable to use the generalized and simple ZIP model for analysis. On the other hand, when working with data with zeros, but not zero-inflated, the Poisson model or a data-transformation-approach, such as square-root or Box-Cox transformation, are applicable.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000400008
Editor: | Sociedade Brasileira de Genética
Relação: | 10.1590/S1415-47572011005000049
Formato: | text/html
Fonte: | Genetics and Molecular Biology  v.34 n.4 2011
Fonte: | info:eu-repo/semantics/openAccess