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Article

Privacy-preserving approximate GWAS computation based on homomorphic encryption.

BMC medical genomics - 21 Jul 2020

Kim Duhyeong, Son Yongha, Kim Dongwoo, Kim Andrey, Hong Seungwan, Cheon Jung Hee

Abstract excerpt

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 several phenotype and genotype data, and provide the encrypted data to an untrusted server. Then, the server performs a GWAS...

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Identifiers

PMID: 32693801
DOI: 10.1186/s12920-020-0722-1
PMCID: PMC7372890

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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