Title

Toward more predictive genetic mouse models of Alzheimer's disease.

Document Type

Article

Publication Date

4-2016

JAX Source

Brain Res Bull 2016 Apr; 122:1-11.

PMID

26708939

Grant

AG051496

Abstract

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.