Privacy-preserving approximate GWAS computation based on homomorphic encryption

Privacy-preserving approximate GWAS computation based on homomorphic encryption

Abstract Background One of three tasks in a secure genome analysis competition called iDASH 2018 was to develop a solution for privacy-preserving GWAS computation based on homomorphic encryption. The scenario is that a data holder encrypts a number of individual records, each of which consists of se...

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Bibliographic Details
Main Authors: Duhyeong Kim, Yongha Son, Dongwoo Kim, Andrey Kim, Seungwan Hong, Jung Hee Cheon
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Genomics
Subjects:
Homomorphic encryption
Privacy
GWAS
Fisher scoring
Online Access:http://link.springer.com/article/10.1186/s12920-020-0722-1

Internet

http://link.springer.com/article/10.1186/s12920-020-0722-1

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