pandasPGS: a Python package for easy retrieval of Polygenic Score Catalog data
This tool allows researchers to easily analyze PGS Catalog data using Python. It alleviates the time cost for researchers to learn the REST APIs of PGS Catalog. The source codes can be found in https://github.com/tianzelab/pandaspgs, and the API documentations can be found in https://tianzelab.github.io/pandaspgs/.
Authors
- Jintong Zhou
- Yu Xia (ORCID: https://orcid.org/0000-0002-6397-1205)
- Yuexia Huang (ORCID: https://orcid.org/0000-0001-9298-5342)
- Tianze Cao (ORCID: https://orcid.org/0000-0003-4308-1878)
- Zheyu Zhang (ORCID: https://orcid.org/0000-0003-1352-2310)
- Chu Huang (ORCID: https://orcid.org/0009-0000-1179-4123)
Institutions
- Hangzhou Normal University (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-02-12
- DOI
- https://doi.org/10.7717/peerj.18985
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Hangzhou Normal University
- Natural Science Foundation of Zhejiang Province