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

dc.contributor.affiliationTechnical University of Munich - Nasirigerdeh, Reza
dc.contributor.affiliationTechnical University of Munich - Torkzadehmahani, Reihaneh
dc.contributor.affiliationUniversity of Hamburg - Matschinske, Julian
dc.contributor.affiliationUniversity of Southern Denmark - Frisch, Tobias
dc.contributor.affiliationTechnical University of Munich - List, Markus
dc.contributor.affiliationUniversity of Hamburg - Späth, Julian
dc.contributor.affiliationUniversity Medicine Greifswald - Weiss, Stefan
dc.contributor.affiliationUniversity Medicine Greifswald - Völker, Uwe
dc.contributor.affiliationUniversity of Helsinki - Pitkänen, Esa
dc.contributor.affiliationUniversity of Marburg - Heider, Dominik
dc.contributor.affiliationUniversity of Hamburg - Wenke, Nina Kerstin
dc.contributor.affiliationTechnical University of Munich - Kaissis, Georgios
dc.contributor.affiliationTechnical University of Munich - Rueckert, Daniel
dc.contributor.affiliationTU Braunschweig - Kacprowski, Tim
dc.contributor.affiliationUniversity of Hamburg - Baumbach, Jan
dc.contributor.authorNasirigerdeh, Reza
dc.contributor.authorTorkzadehmahani, Reihaneh
dc.contributor.authorMatschinske, Julian
dc.contributor.authorFrisch, Tobias
dc.contributor.authorList, Markus
dc.contributor.authorSpäth, Julian
dc.contributor.authorWeiss, Stefan
dc.contributor.authorVölker, Uwe
dc.contributor.authorPitkänen, Esa
dc.contributor.authorHeider, Dominik
dc.contributor.authorWenke, Nina Kerstin
dc.contributor.authorKaissis, Georgios
dc.contributor.authorRueckert, Daniel
dc.contributor.authorKacprowski, Tim
dc.contributor.authorBaumbach, Jan
dc.date.accessioned2025-03-24T15:23:13Z
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://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/11031
dc.rightsOpen
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
dc.typesoftware
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