# MVP Data Integration into the ADSP Phenotype Harmonization Consortium

> **NIH NIH U24** · VANDERBILT UNIVERSITY MEDICAL CENTER · 2024 · $1,142,026

## Abstract

Abstract
The Alzheimer’s Disease (AD) Sequencing Project Phenotype Harmonization Consortium (ADSP-PHC, U24-
AG074855) includes data from 30+ AD research cohorts and represents the largest ongoing effort in the United
States to collect metadata from cohorts for genetic research in Alzheimer’s disease and related dementias
(ADRD). The Veterans Health Administration’s (VHA’s) Million Veterans Program (MVP) is one of the world’s
largest genetic research databases, with more than 950,000 United States Veteran participants, including
~650,000 with available whole-genome genotype data and a subset of those genotyped participants (150,000)
with whole-genome sequencing data available soon. MVP participants also reflect the diverse demographics of
Veterans who receive care in VHA—in fact, the MVP includes one of the largest Black and Hispanic genetic
cohorts in the US, who are currently underrepresented in large-scale genetic investigations. However, to date,
due to strict privacy policies, MVP-participant data has been inaccessible to non-VA investigators. To promote
greater use of MVP data, VHA has initiated development of VA Data Commons, a platform that will enable the
analyses of MVP data by researchers outside the VA. This competitive supplement to the ADSP-PHC is the
first step toward coordinated MVP-ADSP genetic investigations in ADRD. This supplement will fund the
curation and mapping of MVP ADRD phenotypic data to be comparable with the harmonized phenotypes in
ADSP-PHC, and deposit those data in the Data Commons according to ADSP-PHC schema. This includes
(Supplementary Aim 1) ADRD diagnoses based on treatment codes and machine learning algorithms;
(Supplementary Aim 2) vascular ADRD risk factors and other comorbidities; (Supplementary Aim 3)
neuroimaging data; and (Supplementary Aim 4) neurocognitive test data. This work will also examine the
demographics and medical comorbidities of MVP participants, thereby setting the stage for comparisons with
diagnoses and other relevant endophenotypes in the ADSP-PHC. The proposed effort will boost the power for
future mapping of genetic risk variants, especially in underrepresented groups, and will significantly enhance
the ADSP’s efforts to unravel the heterogeneity of ADRD genetic risk, onset, symptomology, neuropathology,
and progression, thereby improving the likelihood of identifying new targets for effective ADRD treatment in
diverse populations.

## Key facts

- **NIH application ID:** 10848037
- **Project number:** 3U24AG074855-03S1
- **Recipient organization:** VANDERBILT UNIVERSITY MEDICAL CENTER
- **Principal Investigator:** Timothy J Hohman
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $1,142,026
- **Award type:** 3
- **Project period:** 2021-09-30 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10848037

## Citation

> US National Institutes of Health, RePORTER application 10848037, MVP Data Integration into the ADSP Phenotype Harmonization Consortium (3U24AG074855-03S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10848037. Licensed CC0.

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