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Title: Genetic mapping of quantitative trait loci for body weight on the X-chromosome in mice
Author: Rance, Kellie Anne
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1996
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Evidence of a large sex linked additive effect accounting for 25% (approximately 5g) of the divergence in weight between mouse lines selected for body weight has been described previously. A study was undertaken to map putative X-linked quantitative trait loci (OTL), with the objective of isolating the position(s) and number of QTL, and thereby provide information regarding the genetic mechanisms controlling growth and body weight. A preliminary experiment was carried out to map the QTL on the X-chromosome. An F2 generation was genotyped at 7 microstatellite loci found to be polymorphic in the selection lines. The results of single marker analysis showed significant linkage between X-linked markers and body weight, but DNA was not available for all individuals in the pedigree, so fully informative loci in the F2 generation could not be determined. To enable analysis of fully informative marker loci, the F2 experiments was repeated retaining DNA samples from all individuals within the pedigree. The F2 population was generated from a reciprocal F1 population between an inbred low line (derived from the low selection line) and the high selection line. To enable statistical analysis of an F2 population genotyped at markers on the X-chromosome, an analytical technique was developed based on the multiple regression method of Haley and Knott. The validity of the analysis was tested using simulated data, and the method was developed further to enable analysis of non-inbred data. Using parental genotypes to determine fully informative marker loci in the F2 generation, the phenotypic and genotypic data were analysed using the X-linked multiple regression method for non-inbred data. The analysis of data on 10 week weight indicated a single QTL of large effect (± s.e.) situated at about 23 ± 2 cM from the proximal end of the chromosome, the likelihood curve showing a single well defined peak.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available