# Analysis Core Rio Grande Valley AD-RCMAR

> **NIH NIH P30** · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · 2021 · $144,377

## Abstract

Project Summary – Analysis Core
The number of people living with Alzheimer's disease (AD) is expected to almost triple by 2050. Understanding
and restoring cognitive function is critical to improving patients´ lives and minimize the catastrophic strains on
the health care system, families, and the federal budget. The understanding of the determinants of Alzheimer’s
disease risk and the consequences of disease constitutes a complex problem. The Analysis Core (AnC) of the
AD Resource Center for Minority Aging Research (AD-RCMAR) at the University of Texas Rio Grande Valley
(UTRGV) aims to support projects in order to examine these large problems and to add to our knowledge base
about age-related cognitive decline by combining several scientific methodologies at multiple levels of analysis.
The proposed AD-RCMAR will encourage faculty from psychiatry, neurology, behavioral science, neuroscience,
epidemiology, genetics, molecular biology, biostatistics, bioinformatics and other areas to focus on the specific
vulnerabilities of AD in Hispanic and other minority populations. AD-RCMAR research will be conducted through
population-based epidemiology, clinical studies, and work with animal models, and in vitro cell systems. The
breadth and depth of likely AD-RCMAR projects will generate particular needs for state-of-the-art analytic
approaches that address longitudinal, high-dimensional, and integrative treatment of data at phenotypic, genetic,
and environmental (i.e., non-genetic) levels as well as the consideration of interactions between causal domains.
The proposed AnC is designed to meet these needs by providing access to experts with a broad range of
complementary expertise who will be able to work collaboratively with AD-RCMAR investigators to conduct any
needed specified analyses. The overall function of the proposed core focuses, as required by the program
announcement, is on the integrative analysis of data sets across multiple broad domains including social,
economic, behavioral, psychological, biological and genetic factors. We will achieve our objectives through the
following Specific Aims: 1) to maximize cross-study and cross-modality analysis among AD-RCMAR projects,
we will organize and make available existing data sets of aging Hispanics/minorities into a central repository
hosted in our high performance compute cluster at the South Texas Diabetes and Obesity Institute including the
Genetics of Brain Structure and Function Study with 2,000 participants who are members of large Mexican
American families, the lMaracaibo Aging Study consisting of ~4,500 Hispanic individuals living in Venezuela,
and the Kolla Population Study which focuses on an isolated Andean population in Argentina comprised of ~250
individuals; 2) the AnC will provide analytical expertise and training in relevant statistical, statistical genetic and
bioinformatics methods appropriate for complex, multisystem and high dimensional data including a novel
integrative analytic...

## Key facts

- **NIH application ID:** 10241359
- **Project number:** 5P30AG059305-04
- **Recipient organization:** UNIVERSITY OF TEXAS RIO GRANDE VALLEY
- **Principal Investigator:** John Blangero
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $144,377
- **Award type:** 5
- **Project period:** 2018-09-01 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10241359

## Citation

> US National Institutes of Health, RePORTER application 10241359, Analysis Core Rio Grande Valley AD-RCMAR (5P30AG059305-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10241359. Licensed CC0.

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