Find the right study, faster
Search dbGaP studies with natural language across study metadata, semantically harmonized variables, disease hierarchies, and consent codes. Then apply for access or view the study on its cloud platform.
Describe your research question.We search six dimensions.
170,000+ phenotype variables classified into searchable measurement concepts
Disease focus areas organized by the Medical Subject Headings ontology
Natural language search over GA4GH data use conditions
Genetically computed population ancestry across study participants
Self-reported sex, race, and ethnicity of study cohorts
More than metadata
Every study is enriched with data you won't find on dbGaP alone.
- Study metadata with disease focus searchable via MeSH hierarchy
- Hundreds of GA4GH consent codes, searchable in natural language
- PI-curated publications with citation counts
- Variables semantically harmonized into canonical measurement concepts
- Sex, race/ethnicity, and genetically inferred ancestry distributions
2,944
dbGaP studies100K+
Variables harmonized100+
Consent codes searchable4
Platforms connectedWhere the data lives
We connect you to datasets across five NIH cloud platforms.
NCBI DatasetsDatabase of Genotypes and Phenotypes
AnVILRun batch analysis workflows and interactive visualizations.
BioData CatalystRun batch analysis workflows and interactive visualizations.
Cancer Research Data CommonsRun batch analysis workflows and interactive visualizations.
Kids First Data Resource CenterRun batch analysis workflows and interactive visualizations.
Ready to access the data?
This catalog uses only publicly available metadata. To work with individual-level data, apply through dbGaP or DUOS.
dbGaPApply for authorized access to subject-level data through NCBI's Database of Genotypes and Phenotypes.
dbgap.ncbi.nlm.nih.gov