Users can access all summary statistics from the Catalog FTP site, which is updated nightly following submission. They can also be accessed in the tables below (separate tables for the published and unpublished summary statistics).

Submit summary statistics to GWAS Catalog. Learn Including FAQs, our curation process, training materials, related resources, a list of abbreviations and API documentation.

Summary statistics for Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study from Tissink et al., 2024.

Genome-wide association studies (GWAS) have revolutionized our understanding of the genetic architecture of complex traits and diseases. GWAS summary statistics have become essential tools for various genetic analyses, including meta-analysis, fine-mapping, and risk prediction.

This atlas is a database of publicly available GWAS summary statistics. Each GWAS can be browsed with the manhattan plot, risk loci, MAGMA (i.e. gene-based) results, SNP heritability and genetic correlations with other GWAS in the database.

Genome-wide association studies (GWAS) provide a powerful tool for identifying genetic loci associated with phenotypes of interest.

Visualize genome-wide association results with dynamic Manhattan plots and tables. Browse trait and case definitions, descriptive characteristics and genetic correlations. Download files of genome-wide association study estimates and summary statistics.

Summary statistics eligibility, submission information, standards and harmonisation. A guide to how to access summary statistics data programmatically. A list of all studies for which summary statistics are available in the Catalog.

As of September 2018, the Catalog contains 5687 GWAS comprising 71673 variant-trait associations from 3567 publications. New content includes 284 full P -value summary statistics datasets for genome-wide and new targeted array studies, representing 6 × 10 9 individual variant-trait statistics.

Scores that provide an indication of an individual’s genetic liability to a trait or disease, calculated using an individual’s genome, weighted by effect sizes obtained from genome- wide association studies (GWAS). The non- independent association of two alleles in a population. Where to download GWAS SumStats? disease.