Journal
BIOINFORMATICS
Volume 29, Issue 7, Pages 886-893Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btt066
Keywords
-
Categories
Funding
- European Regional Development Fund through Estonian Centre of Excellence in Computer Science and Software Technology and Applications Competence Center
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available