# Identification of the genetic and transcriptomic networks of cognitive and neuropathological resilience to Alzheimer’s disease associated viruses

> **NIH NIH U01** · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · 2020 · $74,547

## Abstract

Alzheimer’s is an incurable disease characterized by progressive accumulation of amyloid and tau
neuropathology along with neurodegeneration. We do not fully understand the full spectrum of
molecular pathways contributing to disease etiology in disease resident central nervous system
tissue, specifically as a function of the temporal phases of disease. Furthermore, while genetic
association studies have identified a myriad of loci associated with AD risk, it is still unclear how these
risk factors modify risk for AD via cellular specific pathways at specific temporal phases of disease.
Finally, there is increasing evidence for heterogeneity of disease presentation, including sex
heterogeneity as well as neuropathological heterogeneity (e.g. amyloid, tau, TDP-43, Lewy bodies,
alpha-synucleinopathy, cerebral amyloid angiopathy), suggesting there may be distinct molecular
mechanisms driving disease among subsets of patients. To address these complexities we propose
this administrative supplement to leverage the rich multi-omic data available in the AMP-AD
consortium address to construct temporal models of AD progression. Such models will form a
conceptual framework to enable the interpretation of diverse molecular data and provide a principled
means to contextualize peripheral immunological and biomarker data for further study.

## Key facts

- **NIH application ID:** 10076393
- **Project number:** 3U01AG061835-02S2
- **Recipient organization:** ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
- **Principal Investigator:** Benjamin Readhead
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $74,547
- **Award type:** 3
- **Project period:** 2020-01-01 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10076393

## Citation

> US National Institutes of Health, RePORTER application 10076393, Identification of the genetic and transcriptomic networks of cognitive and neuropathological resilience to Alzheimer’s disease associated viruses (3U01AG061835-02S2). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10076393. Licensed CC0.

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