Research on data privacy protection methods based on genome-wide association study
by Zongbo Wu; Wenhui Xiao; Han Deng; Lan Yang
International Journal of Embedded Systems (IJES), Vol. 15, No. 1, 2022

Abstract: The deployment of genome-wide association study (GWAS) requires a large amount of genomic data to support statistical analysis to obtain reliable prediction results. However, the data used in the research and the statistical information released by the research results can be used to determine the individuals corresponding to the genomic data, and there is a great privacy risk, resulting in restricted access to the genomic and other biomedical data. Therefore, researchers are paying more and more attention to data privacy protection in genome-wide association research and have developed various methods to protect private data. This article summarises the latest developments in privacy protection technology in genome-wide association research. Firstly, the article introduces the background knowledge of genome-wide association research and privacy protection technology; then, it introduces the privacy protection technology in GWAS: 1) homomorphic encryption; 2) advanced research results related to secure multi-party computing, and then discuss the advantages and limitations of the two types of methods; finally, the article summarises and prospects the development of privacy protection technology in GWAS.

Online publication date: Fri, 08-Apr-2022

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