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Updated: May 14, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
A new way to protect privacy in large-scale genome-wide association studies
Liina Kamm1, Dan Bogdanov, Sven Laur
1Institute of Computer Science, University of Tartu, Liivi 2, Tartu 50409, Estonia.
Motivation:
Increased availability of various genotyping techniques has initiated a race for finding genetic markers that can be used in diagnostics and personalized medicine. Although many genetic risk factors are known, key causes of common diseases with complex heritage patterns are still unknown. Identification of such complex traits requires a targeted study over a large collection of data. Ideally, such studies bring together data from many biobanks. However, data aggregation on such a large scale raises many privacy issues.
Results:
We show how to conduct such studies without violating privacy of individual donors and without leaking the data to third parties. The presented solution has provable security guarantees.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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