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Ensuring Trust in Genomics Research.
Ayday, Erman; Vaidya, Jaideep; Jiang, Xiaoqian; Telenti, Amalio.
Afiliação
  • Ayday E; Department of Computer and Data Sciences Case Western Reserve University Cleveland, OH.
  • Vaidya J; Management Science and Information Systems Department Rutgers University Newark, NJ.
  • Jiang X; Department of Data Science and Artificial Intelligence University of Texas - Health Houston, TX.
  • Telenti A; Dept. of Integrative Structural and Computational Biology Scripps Institute La Jolla, CA.
Article em En | MEDLINE | ID: mdl-38562180
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article