Secure large-scale genome-wide association studies using homomorphic encryption
Genome-wide association studies (GWASs) seek to identify genetic variants associated with a trait, and have been a powerful approach for understanding complex diseases. A critical challenge for GWASs has been the dependence on individual-level data that typically have strict privacy requirements, cr...
Main Authors: | Blatt, Marcelo, Gusev, Alexander, Polyakov, Yuriy, Goldwasser, Shafrira |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
National Academy of Sciences
2021
|
Online Access: | https://hdl.handle.net/1721.1/129339 |
Similar Items
-
Optimized homomorphic encryption solution for secure genome-wide association studies
by: Blatt, Marcelo, et al.
Published: (2021) -
Optimized homomorphic encryption solution for secure genome-wide association studies
by: Blatt, Marcelo, et al.
Published: (2022) -
Encrypted genomes: advancing personalized medicine with homomorphic encryption
by: Lee, Bryan Wei Han
Published: (2024) -
Securing Big Data Processing With Homomorphic Encryption
by: Tan, Soo Fun, et al.
Published: (2020) -
Optimizing fully homomorphic encryption
by: King, Kevin C
Published: (2018)