In the current PGS Catalog you can browse the scores and metadata through the following categories:
A polygenic score (PGS) aggregates the effects of many genetic variants into a single number which predicts genetic predisposition for a phenotype. PGS are typically composed of hundreds-to-millions of genetic variants (usually SNPs) which are combined using a weighted sum of allele dosages multiplied by their corresponding effect sizes, as estimated from a relevant genome-wide association study (GWAS).
PGS nomenclature is heterogeneous: they can also be referred to as genetic scores or genomic scores, and as polygenic risk scores (PRS) or genomic risk scores (GRS) if they predict a discrete phenotype, such as a disease.
The PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance.
More about the PGS Catalog project, descriptions of the data, and publication eligibility criteria can be found in our documentation and recent paper.
Bulk downloads of PGS metadata and scoring files (variants, effect alleles/weights) needed to calculate PGS on your own data are available from the website and FTP.
View available PGS Catalog downloads.
Programmatic access to the Catalog data through our REST API.
Command line download via the pgscatalog_utils Python package.
To submit a PGS to the catalog, provide feedback, or ask questions: contact the PGS Catalog team at email@example.com!
Recommend missing PGS publications and scores for inclusion in the Catalog using this form.