Dataset Information
A new way to protect privacy in large-scale genome-wide association studies.
Ontology highlight
ABSTRACT: 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.
SUBMITTER: Kamm L
PROVIDER: S-EPMC3605601 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Publications
A new way to protect privacy in large-scale genome-wide association studies.
Bioinformatics (Oxford, England) 20130214 7
<h4>Motivation</h4>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 suc ...[more]