The distribution of the effects of genes affecting quantitative traits in livestock

Hayes, Ben and Goddard, Mike E. (2001) The distribution of the effects of genes affecting quantitative traits in livestock. Genetics Selection Evolution, 33 3: 209-229.

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Author Hayes, Ben
Goddard, Mike E.
Title The distribution of the effects of genes affecting quantitative traits in livestock
Journal name Genetics Selection Evolution   Check publisher's open access policy
ISSN 0999-193X
Publication date 2001-05-15
Sub-type Article (original research)
Open Access Status File (Publisher version)
Volume 33
Issue 3
Start page 209
End page 229
Total pages 21
Place of publication London, United Kingdom
Publisher BioMed Central
Language eng
Formatted abstract
Meta-analysis of information from quantitative trait loci (QTL) mapping experiments was used to derive distributions of the effects of genes affecting quantitative traits. The two limitations of such information, that QTL effects as reported include experimental error, and that mapping experiments can only detect QTL above a certain size, were accounted for. Data from pig and dairy mapping experiments were used. Gamma distributions of QTL effects were fitted with maximum likelihood. The derived distributions were moderately leptokurtic, consistent with many genes of small effect and few of large effect. Seventeen percent and 35% of the leading QTL explained 90% of the genetic variance for the dairy and pig distributions respectively. The number of segregating genes affecting a quantitative trait in dairy populations was predicted assuming genes affecting a quantitative trait were neutral with respect to fitness. Between 50 and 100 genes were predicted, depending on the effective population size assumed. As data for the analysis included no QTL of small effect, the ability to estimate the number of QTL of small effect must inevitably be weak. It may be that there are more QTL of small effect than predicted by our gamma distributions. Nevertheless, the distributions have important implications for QTL mapping experiments and Marker Assisted Selection (MAS). Powerful mapping experiments, able to detect QTL of 0.1σp, will be required to detect enough QTL to explain 90% the genetic variance for a quantitative trait.
Keyword Distribution of gene effects
Genetic variance
Marker assisted selection
Quantitative trait loci
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
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Created: Thu, 04 Aug 2016, 16:52:29 EST by Anthony Yeates on behalf of Learning and Research Services (UQ Library)