title: Toward more predictive genetic mouse models of Alzheimer's disease.
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.
authors.affiliation: The Jackson Laboratory, Bar Harbor, ME, United States.
authors.forename: Kristen D
authors.initials: KD
authors.lastname: Onos
authors.affiliation: The Jackson Laboratory, Bar Harbor, ME, United States.
authors.forename: Stacey J
authors.initials: SJ
authors.lastname: Sukoff Rizzo
authors.affiliation: The Jackson Laboratory, Bar Harbor, ME, United States; Graduate Program in Genetics, Sackler School of Graduate Biomedical Sciences, Tufts University, 136 Harrison Avenue, Boston, MA, United States. Electronic address: gareth.howell@jax.org.
authors.forename: Gareth R
authors.initials: GR
authors.lastname: Howell
authors.affiliation: The Jackson Laboratory, Bar Harbor, ME, United States. Electronic address: mike.sasner@jax.org.
authors.forename: Michael
authors.initials: M
authors.lastname: Sasner
mesh_terms: D000544:Alzheimer Disease / Q000235:genetics*; D000818:Animals; D015415:Biomarkers / Q000032:analysis; D004195:Disease Models, Animal; D005820:Genetic Testing / Q000379:methods*; D051379:Mice
chemical_list: D015415:Biomarkers
keywords: Alzheimer’s disease; Biomarkers; Genetic model; Genomics; Mouse model; Neuroinflammation; Preclinical model; Translational assays