Faculty, Staff and Student Publications

Authors

    Language

    English

    Publication Date

    11-1-2023

    Journal

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

    DOI

    10.1109/tps-isa58951.2023.00011

    PMID

    38562180

    PMCID

    PMC10981793

    PubMedCentral® Posted Date

    11-1-2024

    PubMedCentral® Full Text Version

    Author MSS

    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

    Published Open-Access

    yes

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