Discover MVP data

MVP Enables High Quality Health Research

The Million Veteran Program (MVP) is the nation’s largest genomic biorepository of Veteran data and has one of the world’s most diverse cohorts of any genetic research program. Thanks to our partnership with hundreds of researchers and their collaboration together, MVP data has already led to new findings about conditions such as anxiety, post-traumatic stress disorder (PTSD), heart disease, kidney disease, cancer and more.

Data snapshot: MVP by the Numbers

Researchers

540+

Projects

70+

Publications

175+

 

Data snapshot: A Diverse Cohort of Veterans

Veterans enrolled as of August 2022

900,000+
Largest Black cohort of any global genetic research program

Race/Ethnicity*

75% White
18% Black
3% Multiracial
1% Asian
1% American Indian/ Alaska Native
1% Native Hawaiian/ Pacific Islander
1% Other

Age* 

3% 18 to 29
7% 30 to 39
9% 40 to 49
18% 50 to 59
35% 60 to 69
20% 70 to 79
8% 80 to 89
1% 90 to 99
0% 100+

    * Reflects ~900,000 Veteran enrollees

    Exploring MVP Data

    The following resources are accessible to VA users with a VA NT account to help VA researchers explore MVP data while planning and developing research proposals.

    • GenHub:

      The VA MVP Data Explorer tool enables a researcher to query data based on clinical and other data characteristics to build rough cohorts, estimate sample sizes, and perform power analyses. 

    • CIPHER:

      VA’s Centralized Interactive Phenomics Resource (CIPHER) is a centralized community for collaborating on the development and use of phenotypes. It serves as a VA-wide knowledge base framework to collect, store, and share phenotype definitions, data mapping, and other metadata used in VA projects and publications. 

    Summary statistics available on dbGaP

    Summary statistics and meta-analysis results for MVP’s Genome-wide Association Study (GWAS) are available via the MVP accession in the Database of Genotypes and Phenotypes (dbGaP). Access individual SNP look-ups or fill out a short application to dbGaP to download full summary statistics here.

    View publications from MVP research studies in PubMed.

    Explore the MVP cohort, data, analytic environments, and more: