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Article

Semi-Parallel logistic regression for GWAS on encrypted data.

BMC medical genomics - 21 Jul 2020

Kim Miran, Song Yongsoo, Li Baiyu, Micciancio Daniele

Abstract excerpt

BACKGROUND: The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of samples can identify disease-causing genetic variants. The privacy concern, however, has become a major hurdle for data management and utilization. Homomorphic encryption is one of the most powerful...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32693798
DOI: 10.1186/s12920-020-0724-z
PMCID: PMC7372846

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