Title: Research on data privacy protection methods based on genome-wide association study

Authors: Zongbo Wu; Wenhui Xiao; Han Deng; Lan Yang

Addresses: School of Software, Quanzhou University of Information Engineering, Quanzhou, Fujian, China ' School of Computer Science and Engineering, Central South University, Changsha, Hunan, China ' Big Data Development and Research Center, Guangzhou College of Technology and Business, Guangzhou, 528138, China ' School of Software, Quanzhou University of Information Engineering, Quanzhou, Fujian, China

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.

Keywords: genome-wide association research; privacy protection; homomorphic encryption; secure multi-party computing; secret sharing.

DOI: 10.1504/IJES.2022.122105

International Journal of Embedded Systems, 2022 Vol.15 No.1, pp.1 - 8

Received: 28 Sep 2021
Accepted: 18 Oct 2021

Published online: 08 Apr 2022 *

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