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Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities
BACKGROUND: Many methods for the genetic analysis of mastitis use a cross-sectional approach, which omits information on, e.g., repeated mastitis cases during lactation, somatic cell count fluctuations, and recovery process. Acknowledging the dynamic behavior of mastitis during lactation and taking...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384242/ https://www.ncbi.nlm.nih.gov/pubmed/22475575 http://dx.doi.org/10.1186/1297-9686-44-10 |
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author | Franzén, Jessica Thorburn, Daniel Urioste, Jorge I Strandberg, Erling |
author_facet | Franzén, Jessica Thorburn, Daniel Urioste, Jorge I Strandberg, Erling |
author_sort | Franzén, Jessica |
collection | PubMed |
description | BACKGROUND: Many methods for the genetic analysis of mastitis use a cross-sectional approach, which omits information on, e.g., repeated mastitis cases during lactation, somatic cell count fluctuations, and recovery process. Acknowledging the dynamic behavior of mastitis during lactation and taking into account that there is more than one binary response variable to consider, can enhance the genetic evaluation of mastitis. METHODS: Genetic evaluation of mastitis was carried out by modeling the dynamic nature of somatic cell count (SCC) within the lactation. The SCC patterns were captured by modeling transition probabilities between assumed states of mastitis and non-mastitis. A widely dispersed SCC pattern generates high transition probabilities between states and vice versa. This method can model transitions to and from states of infection simultaneously, i.e. both the mastitis liability and the recovery process are considered. A multilevel discrete time survival model was applied to estimate breeding values on simulated data with different dataset sizes, mastitis frequencies, and genetic correlations. RESULTS: Correlations between estimated and simulated breeding values showed that the estimated accuracies for mastitis liability were similar to those from previously tested methods that used data of confirmed mastitis cases, while our results were based on SCC as an indicator of mastitis. In addition, unlike the other methods, our method also generates breeding values for the recovery process. CONCLUSIONS: The developed method provides an effective tool for the genetic evaluation of mastitis when considering the whole disease course and will contribute to improving the genetic evaluation of udder health. |
format | Online Article Text |
id | pubmed-3384242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33842422012-06-29 Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities Franzén, Jessica Thorburn, Daniel Urioste, Jorge I Strandberg, Erling Genet Sel Evol Research BACKGROUND: Many methods for the genetic analysis of mastitis use a cross-sectional approach, which omits information on, e.g., repeated mastitis cases during lactation, somatic cell count fluctuations, and recovery process. Acknowledging the dynamic behavior of mastitis during lactation and taking into account that there is more than one binary response variable to consider, can enhance the genetic evaluation of mastitis. METHODS: Genetic evaluation of mastitis was carried out by modeling the dynamic nature of somatic cell count (SCC) within the lactation. The SCC patterns were captured by modeling transition probabilities between assumed states of mastitis and non-mastitis. A widely dispersed SCC pattern generates high transition probabilities between states and vice versa. This method can model transitions to and from states of infection simultaneously, i.e. both the mastitis liability and the recovery process are considered. A multilevel discrete time survival model was applied to estimate breeding values on simulated data with different dataset sizes, mastitis frequencies, and genetic correlations. RESULTS: Correlations between estimated and simulated breeding values showed that the estimated accuracies for mastitis liability were similar to those from previously tested methods that used data of confirmed mastitis cases, while our results were based on SCC as an indicator of mastitis. In addition, unlike the other methods, our method also generates breeding values for the recovery process. CONCLUSIONS: The developed method provides an effective tool for the genetic evaluation of mastitis when considering the whole disease course and will contribute to improving the genetic evaluation of udder health. BioMed Central 2012-04-04 /pmc/articles/PMC3384242/ /pubmed/22475575 http://dx.doi.org/10.1186/1297-9686-44-10 Text en Copyright ©2012 Franzén et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Franzén, Jessica Thorburn, Daniel Urioste, Jorge I Strandberg, Erling Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
title | Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
title_full | Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
title_fullStr | Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
title_full_unstemmed | Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
title_short | Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
title_sort | genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384242/ https://www.ncbi.nlm.nih.gov/pubmed/22475575 http://dx.doi.org/10.1186/1297-9686-44-10 |
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