Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle
Bayesian segregation analysis using a Gibbs sampling approach was applied to four sets of simulated data and one set of field data to detect evidence of major genes affecting the evaluated trait. The substitution effect of a major gene and its allelic frequency were estimated for each set of data. F...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
American Dairy Science Association
2001
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/28892 |
| _version_ | 1855542238608621568 |
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| author | Pan, Y. Boettcher, P.J. Gibson, John P. |
| author_browse | Boettcher, P.J. Gibson, John P. Pan, Y. |
| author_facet | Pan, Y. Boettcher, P.J. Gibson, John P. |
| author_sort | Pan, Y. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Bayesian segregation analysis using a Gibbs sampling approach was applied to four sets of simulated data and one set of field data to detect evidence of major genes affecting the evaluated trait. The substitution effect of a major gene and its allelic frequency were estimated for each set of data. For two datasets simulated with a model with no major gene effect, the resulting estimates of polygenic variance and heritability agreed with the simulated values and tests for the presence of a major gene were not significant. Analyses of two sets of data simulated with a major gene produced posterior distributions that gave significant evidence of major gene effects but underestimated the substitution values of the major gene. The segregation analysis of field data suggested that a major gene significantly affected somatic cell score (SCS) in the population of Ontario Holstein cattle. The estimated heritability of SCS was approximately 0.16. The major gene variance accounted for about 17% of the total genetic variance and the point estimate of the frequency of the allele having a positive effect on SCS was 0.30. However, the precision of these estimates is questionable based on the simulation results. The effect of the major gene may be underestimated. |
| format | Journal Article |
| id | CGSpace28892 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2001 |
| publishDateRange | 2001 |
| publishDateSort | 2001 |
| publisher | American Dairy Science Association |
| publisherStr | American Dairy Science Association |
| record_format | dspace |
| spelling | CGSpace288922024-11-15T08:53:11Z Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle Pan, Y. Boettcher, P.J. Gibson, John P. statistical methods cells somatic cell count genes heritability cattle Bayesian segregation analysis using a Gibbs sampling approach was applied to four sets of simulated data and one set of field data to detect evidence of major genes affecting the evaluated trait. The substitution effect of a major gene and its allelic frequency were estimated for each set of data. For two datasets simulated with a model with no major gene effect, the resulting estimates of polygenic variance and heritability agreed with the simulated values and tests for the presence of a major gene were not significant. Analyses of two sets of data simulated with a major gene produced posterior distributions that gave significant evidence of major gene effects but underestimated the substitution values of the major gene. The segregation analysis of field data suggested that a major gene significantly affected somatic cell score (SCS) in the population of Ontario Holstein cattle. The estimated heritability of SCS was approximately 0.16. The major gene variance accounted for about 17% of the total genetic variance and the point estimate of the frequency of the allele having a positive effect on SCS was 0.30. However, the precision of these estimates is questionable based on the simulation results. The effect of the major gene may be underestimated. 2001-12 2013-05-06T07:01:41Z 2013-05-06T07:01:41Z Journal Article https://hdl.handle.net/10568/28892 en Limited Access American Dairy Science Association Journal of dairy Science;84(12): 2796-2802 |
| spellingShingle | statistical methods cells somatic cell count genes heritability cattle Pan, Y. Boettcher, P.J. Gibson, John P. Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle |
| title | Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle |
| title_full | Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle |
| title_fullStr | Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle |
| title_full_unstemmed | Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle |
| title_short | Bayesian segregation analysis of somatic cell scores of ontario Holstein cattle |
| title_sort | bayesian segregation analysis of somatic cell scores of ontario holstein cattle |
| topic | statistical methods cells somatic cell count genes heritability cattle |
| url | https://hdl.handle.net/10568/28892 |
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