pandasPGS

pandasPGS provides programmatic access to Polygenic Score Catalog data through automated URL selection, pagination merging, and data pre-processing functions in Python.

Key Features:

• Automated REST API data retrieval: pandasPGS automatically selects the appropriate uniform resource locator and requests data based on the name and parameters of the called function, then merges obtained pagination data.
• Data pre-processing: The package converts obtained data into several hierarchical pandas.DataFrame objects according to the structure of the data.

Scientific Applications:

• Polygenic risk score data integration: pandasPGS facilitates analysis of PGS Catalog data using Python, enabling researchers to integrate polygenic risk scores associated with different traits into analytical workflows.

Methodology:

pandasPGS automatically selects URLs and requests data based on function names and parameters, merges pagination data, and converts results into hierarchical pandas.DataFrame objects.