PandasPGS: a Python package for easy retrieval of Polygenic Score Catalog data.

ABSTRACT:

Background

The Polygenic Score (PGS) Catalog is a public database dedicated to storing polygenic risk scores. To date, the database has included 5,022 polygenic risk scores associated with 656 different traits. Although the PGS Catalog offers an official resource representational state transfer (REST) application programming interface (API), there is no ready-made data client tailored for any specific programming language. Researchers are thus required to invest time in becoming familiar with the structure of the REST API and to implement a corresponding client in their programming language of choice to integrate PGS data into their analytical workflows.

Methods

In this work we introduce pandasPGS, a Python package that provides programmatic access to PGS Catalog data. After

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC11829626 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature