Document Type
Article
Publication Date
9-1-2020
Keywords
JMG
JAX Source
Learn Mem 2020 Sep; 27(9):355-371
Volume
27
Issue
9
First Page
355
Last Page
371
ISSN
1549-5485
PMID
32817302
DOI
https://doi.org/10.1101/lm.051839.120
Grant
AG057914,AG050357,AG054180,AG062409
Abstract
Individual differences in cognitive decline during normal aging and Alzheimer's disease (AD) are common, but the molecular mechanisms underlying these distinct outcomes are not fully understood. We utilized a combination of genetic, molecular, and behavioral data from a mouse population designed to model human variation in cognitive outcomes to search for the molecular mechanisms behind this population-wide variation. Specifically, we used a systems genetics approach to relate gene expression to cognitive outcomes during AD and normal aging. Statistical causal-inference Bayesian modeling was used to model systematic genetic perturbations matched with cognitive data that identified astrocyte and microglia molecular networks as drivers of cognitive resilience to AD. Using genetic mapping, we identified
Recommended Citation
Heuer S,
Neuner S,
Hadad N,
O'Connell K,
Williams R,
Philip VM,
Gaiteri C,
Kaczorowski C.
Identifying the molecular systems that influence cognitive resilience to Alzheimer's disease in genetically diverse mice. Learn Mem 2020 Sep; 27(9):355-371
Comments
Open access under the terms of the Creative Commons Attribution License