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פותח על ידי קלירמאש פתרונות בע"מ -
Estimation of quantitative trait loci effects in dairy cattle populations
Year:
2002
Source of publication :
Journal of Dairy Science
Authors :
ולר, יהודה
;
.
Volume :
85
Co-Authors:
Israel, C., Department of Genetics, Hebrew University of Jerusalem, Jerusalem, 91904, Israel
Weller, J.I., Institute of Animal Sciences, Agricultural Research Organization, Volcani Center, Bet Degan, 50250, Israel
Facilitators :
From page:
1285
To page:
1297
(
Total pages:
13
)
Abstract:
Standard animal model programs can be modified to include the effect of a quantitative gene, even if only a fraction of the population is genotyped. Five methods to estimate the effect of a diallelic quantitative gene affecting a quantitative trait were compared to a standard animal model (model I) on simulated populations, based on mean squared errors and bias. In models II, III, and IV complete linkage between a single genetic marker and the quantitative trait gene was assumed. In models II and III the elements of the incidence matrix for the gene effect were 0 or 1 for genotyped individuals, and the probabilities of the possible candidate gene genotypes for individuals that were not genotyped. In model III segregation analysis was used to compute these probabilities. If only some of the cows were genotyped, the model III estimates were nearly unbiased, while model II underestimated the simulated effects. When only sires were genotyped, model II overestimated the simulated effect. In models V and VI two markers bracketing the quantitative gene with recombination frequencies of 0.1 and 0.2 with the quantitative gene were simulated, and the algorithm of Whittaker et al. (1996) was used to derive estimates of gene effect and location. In model V marker allele effects were included in the animal model analysis. In model VI, the model I genetic evaluations were analyzed. Model V estimates for both effect and location of the quantitative gene were unbiased, while model VI estimates were only 0.25 of the simulated effect.
Note:
Related Files :
Animal
animal model
Animals
breeding
cattle
Female
genetic markers
Genetics
Male
Models, Genetic
quantitative trait locus
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
23170
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:57
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Scientific Publication
Estimation of quantitative trait loci effects in dairy cattle populations
85
Israel, C., Department of Genetics, Hebrew University of Jerusalem, Jerusalem, 91904, Israel
Weller, J.I., Institute of Animal Sciences, Agricultural Research Organization, Volcani Center, Bet Degan, 50250, Israel
Estimation of quantitative trait loci effects in dairy cattle populations
Standard animal model programs can be modified to include the effect of a quantitative gene, even if only a fraction of the population is genotyped. Five methods to estimate the effect of a diallelic quantitative gene affecting a quantitative trait were compared to a standard animal model (model I) on simulated populations, based on mean squared errors and bias. In models II, III, and IV complete linkage between a single genetic marker and the quantitative trait gene was assumed. In models II and III the elements of the incidence matrix for the gene effect were 0 or 1 for genotyped individuals, and the probabilities of the possible candidate gene genotypes for individuals that were not genotyped. In model III segregation analysis was used to compute these probabilities. If only some of the cows were genotyped, the model III estimates were nearly unbiased, while model II underestimated the simulated effects. When only sires were genotyped, model II overestimated the simulated effect. In models V and VI two markers bracketing the quantitative gene with recombination frequencies of 0.1 and 0.2 with the quantitative gene were simulated, and the algorithm of Whittaker et al. (1996) was used to derive estimates of gene effect and location. In model V marker allele effects were included in the animal model analysis. In model VI, the model I genetic evaluations were analyzed. Model V estimates for both effect and location of the quantitative gene were unbiased, while model VI estimates were only 0.25 of the simulated effect.
Scientific Publication
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