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Methodology and accuracy of estimation of quantitative trait loci parameters in a half-sib design using maximum likelihood
Year:
1995
Source of publication :
Genetics (source)
Authors :
Weller, Joel Ira
;
.
Volume :
141
Co-Authors:
Mackinnon, M.J., Institute of Cell Biology, University of Edinburgh, West Mains Rd., Edinburgh EH9 3JT, United Kingdom
Weller, J.I., Institute of Cell Biology, University of Edinburgh, West Mains Rd., Edinburgh EH9 3JT, United Kingdom
Facilitators :
From page:
755
To page:
770
(
Total pages:
16
)
Abstract:
Maximum likelihood methods were developed for estimation of the six parameters relating to a marker-linked quantitative trait locus (QTL) segregating in a half-sib design, namely the QTL additive effect, the QTL dominance effect, the population mean, recombination between the marker and the QTL, the population frequency of the QTL alleles, and the within-family residual variance. The method was tested on simulated stochastic data with various family structures under two genetic models. A method for predicting the expected value of the likelihood was also derived and used to predict the lower bound sampling errors of the parameter estimates and the correlations between them. It was found that standard errors and confidence intervals were smallest for the population mean and variance, intermediate for QTL effects and allele frequency, and highest for recombiantion rate. Correlations among standard errors of the parameter estimates were generally low except for a strong negative correlation (r = -0.9) between the QTL's dominance effect and the population mean, and medium positive and negative correlations between the QTL's additive effect and, respectively, recombination rate (r = 0.5) and residual variance (r = -0.6). The implications for experimental design and method of analysis on power and accuracy of marker-QTL linkage experiments were discussed.
Note:
Related Files :
Alleles
Animal
Confidence Intervals
Female
genetic markers
genetic model
Male
Models, Genetic
sibling
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Related Content
More details
DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
21238
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:42
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Scientific Publication
Methodology and accuracy of estimation of quantitative trait loci parameters in a half-sib design using maximum likelihood
141
Mackinnon, M.J., Institute of Cell Biology, University of Edinburgh, West Mains Rd., Edinburgh EH9 3JT, United Kingdom
Weller, J.I., Institute of Cell Biology, University of Edinburgh, West Mains Rd., Edinburgh EH9 3JT, United Kingdom
Methodology and accuracy of estimation of quantitative trait loci parameters in a half-sib design using maximum likelihood
Maximum likelihood methods were developed for estimation of the six parameters relating to a marker-linked quantitative trait locus (QTL) segregating in a half-sib design, namely the QTL additive effect, the QTL dominance effect, the population mean, recombination between the marker and the QTL, the population frequency of the QTL alleles, and the within-family residual variance. The method was tested on simulated stochastic data with various family structures under two genetic models. A method for predicting the expected value of the likelihood was also derived and used to predict the lower bound sampling errors of the parameter estimates and the correlations between them. It was found that standard errors and confidence intervals were smallest for the population mean and variance, intermediate for QTL effects and allele frequency, and highest for recombiantion rate. Correlations among standard errors of the parameter estimates were generally low except for a strong negative correlation (r = -0.9) between the QTL's dominance effect and the population mean, and medium positive and negative correlations between the QTL's additive effect and, respectively, recombination rate (r = 0.5) and residual variance (r = -0.6). The implications for experimental design and method of analysis on power and accuracy of marker-QTL linkage experiments were discussed.
Scientific Publication
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