Because we suspected that factors such as lens size, nuclear size, and age might have had significant effects on lens stiffness and resilience, we incorporated morphometric and age data into the statistical models used to evaluate the effect of genotype on these two mechanical properties. The models used were mixed general linear models that used type III sums of squares to evaluate the significance of covariate effects. Two lenses were tested from each mouse, and because stiffness and resilience values from lens pairs tended to resemble each other more than values from other mice (based on covariance parameter estimates), “mouse” was incorporated as a random effect in both models used. The final statistical models for both stiffness and resilience data were obtained by starting with a model that included all variables measured for every lens, which included lens volume, equatorial diameter, axial diameter, nuclear diameter, age, lens weight, and genotype. Because many of these variables are highly correlated, it was not necessary or desirable to include them all in the final models. The final models for stiffness and resilience were each determined by eliminating the variables with the highest P values one by one and rerunning the model. Only variables with low P values (P < 0.10) or variables that appeared in significant interaction terms were retained in the final model. This process resulted in the following variables in the final model for both the stiffness and resilience data: lens volume, genotype, age, and the genotype×age interactive effect. Effects of genotype and age on lens morphometrics were assessed with a general linear model (PASW Statistics ver. 17 software; SPSS, Chicago, IL).