sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies

dc.contributor.affiliationUniversity of Hamburg-Baumbach, Jan
dc.contributor.authorBaumbach, Jan
dc.date.accessioned2025-04-29T14:05:49Z
dc.date.issued2021-11-29
dc.date.issued2021-11-29
dc.descriptionMeta-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.
dc.identifierhttps://doi.org/10.5281/zenodo.5735472
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/6235
dc.rights.licenseapache2.0
dc.subjectsPLINK
dc.subjectFederated learning
dc.subjectGenome-wide association studies
dc.subjectGWAS
dc.subjectMeta-analysis
dc.subjectPrivacy
dc.titlesPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies
dc.typesoftware
Zenodo


: