Nasirigerdeh R, Torkzadehmahani R, Matschinske J, Frisch T, List M, Spaeth J, Weiss S, Voelker U, Pitkaenen E, Heider D, Wenke NK, Kaissis G, Rueckert D, Kacprowski T, Baumbach J (2022)
Publication Type: Journal article
Publication year: 2022
Book Volume: 23
Article Number: 32
Journal Issue: 1
DOI: 10.1186/s13059-021-02562-1
Meta-analysis has been established as an effective approach to combining summary statistics of several genome-wide association studies (GWAS). However, the accuracy of meta-analysis can be attenuated in the presence of cross-study heterogeneity. We present sPLINK, a hybrid federated and user-friendly tool, which performs privacy-aware GWAS on distributed datasets while preserving the accuracy of the results. sPLINK is robust against heterogeneous distributions of data across cohorts while meta-analysis considerably loses accuracy in such scenarios. sPLINK achieves practical runtime and acceptable network usage for chi-square and linear/logistic regression tests. sPLINK is available at https://exbio.wzw.tum.de/splink.
APA:
Nasirigerdeh, R., Torkzadehmahani, R., Matschinske, J., Frisch, T., List, M., Spaeth, J.,... Baumbach, J. (2022). sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies. Genome Biology, 23(1). https://doi.org/10.1186/s13059-021-02562-1
MLA:
Nasirigerdeh, Reza, et al. "sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies." Genome Biology 23.1 (2022).
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