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RESEARCH ARTICLE
Contents Vol 47(6)

Bodyweight QTL on mouse chromosomes 4 and 11 by selective genotyping: regression v. maximum likelihood

Beben Benyamin A B D E , Ian C. A. Martin A , Carol C. Cheung C , Michael F. Buckley C , Peter C. Thomson A , Peter M. Visscher D and Chris Moran A
+ Author Affiliations
- Author Affiliations

A Centre for Advanced Technologies in Animal Genetics and Reproduction (Reprogen), University of Sydney, NSW 2006, Australia.

B Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JT, UK.

C Molecular and Cytogenetics Unit, South Eastern Area Laboratory Services, Department of Haematology, Prince of Wales Hospital, Sydney, NSW 2031, Australia.

D Genetic Epidemiology, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Qld 4029, Australia.

E Corresponding author. Email: bebenB@qimr.edu.au

Australian Journal of Experimental Agriculture 47(6) 677-682 https://doi.org/10.1071/EA06123
Submitted: 1 April 2006  Accepted: 18 October 2006   Published: 17 May 2007

Abstract

Two quantitative trait loci (QTL) for mouse bodyweight have previously been reported on mouse chromosomes (MMU) 4 and 11 from crosses of a highly fecund and large mouse strain, Inbred Quackenbush-Swiss 5 (QSi5) and C57Bl/6J. QSi5 has now been crossed with CBA/CaH to produce 1128 F2 mice to confirm the existence and effect of these QTL. In total, 226 mice from the upper and lower deciles for bodyweight were genotyped using 12 microsatellite markers covering MMU4 and MMU11. Regression and maximum likelihood based interval mapping by either including all mice (ungenotyped mice were treated as having missing genotypes) or including only selectively genotyped mice in the analyses were used to estimate the positions and effects of the QTL. The results confirmed the existence and effects of both QTL. Although all methods estimated the same QTL positions, the QTL effects were overestimated compared with the estimates using a suggested method (maximum likelihood by including all mice in the analysis). However, the overestimated QTL effects could be mathematically corrected. Since the confidence intervals of both QTL are still too large for positional cloning, an advanced intercross line is being bred for finely mapping these bodyweight QTL.


Acknowledgements

We would like to thank Dr Kyall Zenger for the initial screening of the microsatellite markers. Beben Benyamin would like to thank AusAID for providing the Australian Development Scholarship for pursuing a Master of Agriculture degree at the University of Sydney, Australia.


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