The Evolving Privacy and Security Concerns for Genomic Data Analysis and Sharing as Observed From the iDASH Competition

Authors

Tsung-Ting Kuo
Xiaoqian Jiang
Haixu Tang
XiaoFeng Wang
Arif Harmanci
Miran Kim
Kai Post
Diyue Bu
Tyler Bath
Jihoon Kim
Weijie Liu
Hongbo Chen
Lucila Ohno-Machado

Publication Date

11-14-2022

Journal

Journal of the American Medical Informatics Association

Abstract

Concerns regarding inappropriate leakage of sensitive personal information as well as unauthorized data use are increasing with the growth of genomic data repositories. Therefore, privacy and security of genomic data have become increasingly important and need to be studied. With many proposed protection techniques, their applicability in support of biomedical research should be well understood. For this purpose, we have organized a community effort in the past 8 years through the integrating data for analysis, anonymization and sharing consortium to address this practical challenge. In this article, we summarize our experience from these competitions, report lessons learned from the events in 2020/2021 as examples, and discuss potential future research directions in this emerging field.

Keywords

Privacy, Computer Security, Data Analysis, Genomics, Genome

Comments

Supplementary Materials

PMID: 36164820