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Genomic scan for quantitative trait loci of pig chemical and physical body composition and growth traits on chromosome X

Published online by Cambridge University Press:  23 November 2017

C-A Duthie*
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
G. Simm
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
P. Knap
Affiliation:
PIC International Group, Schleswig, Germany
A. Wilson
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
E. Kalm
Affiliation:
Christian-Albrechts-University of Kiel, Kiel, Germany
R. Roehe
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
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Extract

Identification of quantitative trait loci (QTL) provides insight into the genetic control of growth and body composition in pigs. The majority of QTL have been identified on autosomes with less QTL reported on the sex chromosomes. A reason may be that the genomic analysis of the X chromosome is more statistically challenging. Computer programmes accounting for the unique features of chromosome X have been unavailable until recently. Most studies have adopted a regression-based approach analysing males and females separately, which results in a decrease in power to detect QTL. In the present study, a QTL analysis of pig chromosome X (SSCX) was carried out using a method which accounts for the unique features associated with chromosome X, including the pseudoautosomal region of the Y chromosome.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2008

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References

Duthie, C., Simm, G., Doeschl-Wilson, A., Kalm, E., Knap, P.W., and Roehe, R. 2007. Animal Genetics. In press.CrossRefGoogle Scholar
Mohrmann, M., Roehe, R., Knap, P.W., Looft, H., Plastow, G.S., and Kalm, E. 2006. Animal Genetics. 37, 435–443.CrossRefGoogle Scholar
Perez-Enciso, M. and Misztal, I. 2004. Bioinformatics. 20, 2792–2798.CrossRefGoogle Scholar