sPLINK is a tool set for federated, privacy-aware genome-wide association studies (GWAS). sPLINK is based on the HyFed framework, and supports three association tests: chi-square, linear regression, and logistic regression.
To see how to run sPLINK, please see sPLINK online.
The sPLINK source code is licensed under the Apache License Version 2.0. (C) 2021, the sPLINK developers.
The sPLINK paper was published at Genome Biology: https://doi.org/10.1186/s13059-021-02562-1.
If you use sPLINK in your study, please cite sPLINK and HyFed as follows:
@article{nasirigerdeh2022splink,
title={sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies},
author={Nasirigerdeh, Reza and Torkzadehmahani, Reihaneh and Matschinske, Julian and Frisch, Tobias and List, Markus and Sp{\"a}th, Julian and Weiss, Stefan and V{\"o}lker, Uwe and Pitk{\"a}nen, Esa and Heider, Dominik and others},
journal={Genome Biology},
volume={23},
number={1},
pages={1--24},
year={2022},
publisher={BioMed Central}
}
@misc{nasirigerdeh2021hyfed,
title={HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning},
author={Reza Nasirigerdeh and Reihaneh Torkzadehmahani and Julian Matschinske and Jan Baumbach and Daniel Rueckert and Georgios Kaissis},
year={2021},
eprint={2105.10545},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
In case of questions or problems, please contact the main developers of sPLINK: Reza Nasirigerdeh, Reihaneh Torkzadehmahani, and Julian Matschinske.
This framework is a research product and is provided as it is. We assume no liability for any user action or omission.