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

Authors

Kristen D Onos
Stacey J. Sukoff Rizzo, The Jackson LaboratoryFollow
Gareth R Howell, The Jackson LaboratoryFollow
Michael Sasner, The Jackson LaboratoryFollow

Document Type

Article

Publication Date

4-2016

JAX Source

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

Volume

122

First Page

1

Last Page

11

ISSN

1873-2747

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.

Recommended Citation

Onos K, Sukoff Rizzo SJ, Howell G, Sasner M. Toward more predictive genetic mouse models of Alzheimer's disease. Brain Res Bull 2016 Apr; 122:1-11.