Privacy-preserving approximate GWAS computation based on homomorphic encryption

• Hauptverfasser: Duhyeong Kim (Verfasst von), Yongha Son (Verfasst von), Dongwoo Kim (Verfasst von), Andrey Kim (Verfasst von), Seungwan Hong (Verfasst von), Jung Hee Cheon (Verfasst von)
• Format: Buch
• Veröffentlicht: BMC, 2020-07-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

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...