@article{saxton_eisen_1984, title={Genetic analysis of brown adipose tissue, obesity and growth in mice}, volume={106}, number={4}, journal={Genetics}, author={Saxton, A. M. and Eisen, E. J.}, year={1984}, pages={705} }
 @article{saxton_eisen_leatherwood_1984, title={RELATIONSHIP OF BROWN ADIPOSE-TISSUE WITH GROWTH AND OBESITY DIFFERENCES IN GENETICALLY SELECTED MOUSE LINES}, volume={26}, ISSN={["0008-4093"]}, DOI={10.1139/g84-053}, abstractNote={ A recent hypothesis considers brown adipose tissue (BAT) to be an important source of diet-induced thermogenesis (DIT). In turn, DIT and thermogenesis in general are believed to be key factors in the control of obesity of laboratory rodents. This hypothesis was developed from the study of single gene mutant obese rodents. The present research tested this hypothesis in mice with polygenic control of growth and obesity, which is more characteristic of the type of genetic variation expected in human and other mammalian populations. Control and high fat diets were used to test responses of five genetically selected lines of mice showing different patterns of growth and obesity. All lines deposited more fat on the high fat diet, but the most obese line showed the largest increase in BAT and the lipid-free dry (LFD) component of BAT. Use of LFD per unit body weight gave results which supported the hypothesis being tested, but it was argued that this measure is misleading. When brown and white adipose tissue growth relative to body weight were examined, 2 of the 10 line – diet groups showed alterations in BAT growth patterns. However, it was concluded that BAT, if involved at all, was not a major factor in growth and obesity differences.Key words: obesity, polygenes, adipose tissue, quantitative inheritance, mouse. }, number={3}, journal={CANADIAN JOURNAL OF GENETICS AND CYTOLOGY}, author={SAXTON, AM and EISEN, EJ and LEATHERWOOD, JM}, year={1984}, pages={339–347} }
 @article{saxton_1983, title={A COMPARISON OF EXACT AND SEQUENTIAL-METHODS IN MULTISTAGE INDEX SELECTION}, volume={66}, ISSN={["0040-5752"]}, DOI={10.1007/bf00281843}, abstractNote={The theory of sequential multi-stage index selection makes an implicit assumption that the correlation between indices at different stages is zero. This assumption was shown to result in errors in the estimation of genetic gain and in the proportion of the population selected by truncating the joint distribution of the indices. Knowledge of the means and volumes of truncated multivariate normal distributions was used to correct these estimates. Effects of selection intensity and the correlation between the first and second stage indices (ϱ) on the accuracy of the approximate sequential method were examined. Computational constraints limited this analysis to two-stage index selection procedures. The sequential method performed well for ϱ less than 0.6 but accuracy deteriorated rapidly as ϱ increased beyond this value. The effect of selection intensity on accuracy was smaller than ϱ. On a percentage basis, errors in actual percent selected and under-estimation of genetic gain increased with selection intensity while overestimation decreased. The types of errors which occur and their magnitude depend on the intensity of first stage selection.}, number={1}, journal={THEORETICAL AND APPLIED GENETICS}, author={SAXTON, AM}, year={1983}, pages={23–28} }
 @article{saxton_1982, title={A NOTE ON A COMPUTER-PROGRAM FOR INDEPENDENT CULLING}, volume={35}, ISSN={["0003-3561"]}, DOI={10.1017/S0003356100027513}, abstractNote={ABSTRACT}, number={OCT}, journal={ANIMAL PRODUCTION}, author={SAXTON, AM}, year={1982}, pages={295–297} }