Toward more predictive genetic mouse models of Alzheimer's disease.
Brain Res Bull 2016 Apr; 122:1-11.
Genetic mouse models for Alzheimer's disease (AD) have been widely used to understand aspects of the biology of the disease, but have had limited success in translating these findings to the clinic. In this review, we discuss the benefits and limitations of existing genetic models and recent advances in technologies (including high throughput sequencing and genome editing) that promise more predictive models. We summarize widely used biomarkers and behavioral tests for mouse models of AD and highlight best practices that will maximize translatability of preclinical findings. Brain Res Bull 2016 Apr; 122:1-11.
Onos, Kristen D; Sukoff Rizzo, Stacey J.; Howell, Gareth R; and Sasner, Michael, "Toward more predictive genetic mouse models of Alzheimer's disease." (2016). Faculty Research 2016. 15.