SecureMA: protecting participant privacy in genetic association meta-analysis.

Sharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access to data.We introduce a novel cryptographic strategy to securely perform meta-analysis for genetic association […]

SecureMA: protecting participant privacy in genetic association meta-analysis.

Xie W, Kantarcioglu M, Bush WS, Crawford D, Denny JC, Heatherly R, Malin BA,. Sharing genomic data is crucial to support scientific investigation such as genome-wide association studies. However, recent investigations suggest the privacy of the individual participants in these studies can be compromised, leading to serious concerns and consequences, such as overly restricted access […]