GWAS Central

GWAS Central aggregates summary-level genome-wide association study (GWAS) data and standardized phenotype annotations to support discovery and comparative analysis of genotype–phenotype associations.

Key Features:

• Summary-level GWAS repository: Houses over 70 million P-values from more than 3,800 studies covering approximately 1,400 unique phenotypes.
• Data curation and acquisition: Curates datasets via direct submissions from GWAS authors and consortia and by aggregating publicly available GWAS datasets.
• Multiple discovery perspectives: Enables discovery of associations by genetic markers, genes, genome regions, and phenotypes.
• Integrated genome browser: Visualizes tested genetic markers and relevant genomic features across up to sixteen association datasets in a single view.
• Semantic phenotype standardization: Standardizes phenotype descriptions using Medical Subject Headings (MeSH) and the Human Phenotype Ontology (HPO).
• Harmonized cross-database phenotype mapping: Harmonizes phenotype descriptions across GWAS-related resources to extend cross-database study discovery.
• Graphical visualizations and downloadable reports: Provides graphical visualizations and detailed downloadable reports of association results.
• Study metadata files: Supplies complete Study metadata files to support data citation research and tracking of researcher contributions.
• Regular updates: Updates the content regularly to incorporate new findings and maintain dataset relevance.

Scientific Applications:

• Genotype–phenotype association discovery: Identify and evaluate genetic variant associations with diseases, phenotypes, and traits using summary-level P-values.
• Comparative analysis across studies: Compare association patterns across multiple GWAS datasets to support comparative analyses and meta-interpretation.
• Cross-database study discovery: Facilitate discovery of related studies across resources through MeSH- and HPO-based phenotype harmonization.
• Data citation and contribution tracking: Support data citation research and attribution tracking using Study metadata files.
• GWAS data discovery projects: Enable data discovery projects investigating the genetic architecture of complex traits and diseases.

Methodology:

Curates summary-level GWAS association statistics (P-values) from direct author/consortium submissions and public sources, applies semantic standardization of phenotype descriptions using MeSH and HPO, renders multi-dataset visualization via an integrated genome browser (up to sixteen datasets), and provides Study metadata files; the resource is updated regularly.