Individuals age at different rates depending a variety of factors such as their genetics, lifestyle and exposure history. Numerous studies have shown that DNA methylation measured in blood and saliva can provide aging estimates that are informative about future risk of death and disease. Through a review of this literature, we uncovered popular approaches that incorrectly evaluate correlations between DNA methylation aging estimates and aging-related disease and their risk factors. We would like to use ALSPAC data to determine the likely implications these incorrect evaluations have had on published findings. In particular, we propose to calculate correlations between aging estimates and disease risk factors in ALSPAC both correctly and incorrectly to determine how much they differ.