Faculty, Staff and Student Publications

Publication Date

11-1-2023

Journal

IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications

Abstract

Reproducibility, transparency, representation, and privacy underpin the trust on genomics research in general and genome-wide association studies (GWAS) in particular. Concerns about these issues can be mitigated by technologies that address privacy protection, quality control, and verifiability of GWAS. However, many of the existing technological solutions have been developed in isolation and may address one aspect of reproducibility, transparency, representation, and privacy of GWAS while unknowingly impacting other aspects. As a consequence, the current patchwork of technological tools only partially and in an overlapping manner address issues with GWAS, sometimes even creating more problems. This paper addresses the progress in a field that creates technological solutions that augment the acceptance and security of population genetic analyses. The text identifies areas that are falling behind in technical implementation or where there is insufficient research. We make the case that a full understanding of the different GWAS settings, technological tools and new research directions can holistically address the requirements for the acceptance of GWAS.

Keywords

genomics research, trust, privacy, transparency, representation

DOI

10.1109/tps-isa58951.2023.00011

PMID

38562180

PMCID

PMC10981793

PubMedCentral® Posted Date

11-1-2024

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes

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