Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population
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 discret...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Genética
2011-01-01
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| Series: | Genetics and Molecular Biology |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000400008 |
| _version_ | 1811207856194584576 |
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| author | Fabyano Fonseca Silva Karen P. Tunin Guilherme J.M. Rosa Marcos V.B. da Silva Ana Luisa Souza Azevedo Rui da Silva Verneque Marco Antonio Machado Irineu Umberto Packer |
| author_facet | Fabyano Fonseca Silva Karen P. Tunin Guilherme J.M. Rosa Marcos V.B. da Silva Ana Luisa Souza Azevedo Rui da Silva Verneque Marco Antonio Machado Irineu Umberto Packer |
| author_sort | Fabyano Fonseca Silva |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T04:11:52Z |
| format | Article |
| id | doaj.art-4bf914768eff434c85bcae1fae46f505 |
| institution | Directory Open Access Journal |
| issn | 1415-4757 1678-4685 |
| language | English |
| last_indexed | 2024-04-12T04:11:52Z |
| publishDate | 2011-01-01 |
| publisher | Sociedade Brasileira de Genética |
| record_format | Article |
| series | Genetics and Molecular Biology |
| spelling | doaj.art-4bf914768eff434c85bcae1fae46f5052022-12-22T03:48:29ZengSociedade Brasileira de GenéticaGenetics and Molecular Biology1415-47571678-46852011-01-01344575582Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 populationFabyano Fonseca SilvaKaren P. TuninGuilherme J.M. RosaMarcos V.B. da SilvaAna Luisa Souza AzevedoRui da Silva VernequeMarco Antonio MachadoIrineu Umberto PackerNowadays, 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000400008dairycattletick infestationQTL regressiongeneralized linear model |
| spellingShingle | Fabyano Fonseca Silva Karen P. Tunin Guilherme J.M. Rosa Marcos V.B. da Silva Ana Luisa Souza Azevedo Rui da Silva Verneque Marco Antonio Machado Irineu Umberto Packer Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population Genetics and Molecular Biology dairy cattle tick infestation QTL regression generalized linear model |
| title | Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population |
| title_full | Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population |
| title_fullStr | Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population |
| title_full_unstemmed | Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population |
| title_short | Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population |
| title_sort | zero inflated poisson regression models for qtl mapping applied to tick resistance in a gyr x holstein f2 population |
| topic | dairy cattle tick infestation QTL regression generalized linear model |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000400008 |
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