A scoping review of distributed ledger technology in genomics: thematic analysis and directions for future research

Author:

Beyene Mikael12ORCID,Toussaint Philipp A12ORCID,Thiebes Scott1ORCID,Schlesner Matthias34ORCID,Brors Benedikt56ORCID,Sunyaev Ali1ORCID

Affiliation:

1. Department of Economics and Management, Karlsruhe Institute of Technology , Karlsruhe, Germany

2. HIDSS4Health—Helmholtz Information and Data Science School for Health , Karlsruhe/Heidelberg, Germany

3. Biomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical Faculty, University of Augsburg , Augsburg, Germany

4. Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ) , Heidelberg, Germany

5. Division of Applied Bioinformatics, German Cancer Research Center (DKFZ) , Heidelberg, Germany

6. Translational Oncology, National Center for Tumor Diseases, German Cancer Research Center (DKFZ) , Heidelberg, Germany

Abstract

Abstract Objective Rising interests in distributed ledger technology (DLT) and genomics have sparked various interdisciplinary research streams with a proliferating number of scattered publications investigating the application of DLT in genomics. This review aims to uncover the current state of research on DLT in genomics, in terms of focal research themes and directions for future research. Materials and Methods We conducted a scoping review and thematic analysis. To identify the 60 relevant papers, we queried Scopus, Web of Science, PubMed, ACM Digital Library, IEEE Xplore, arXiv, and BiorXiv. Results Our analysis resulted in 7 focal themes on DLT in genomics discussed in literature, namely: (1) Data economy and sharing; (2) Data management; (3) Data protection; (4) Data storage; (5) Decentralized data analysis; (6) Proof of useful work; and (7) Ethical, legal, and social implications. Discussion Based on the identified themes, we present 7 future research directions: (1) Investigate opportunities for the application of DLT concepts other than Blockchain; (2) Explore people’s attitudes and behaviors regarding the commodification of genetic data through DLT-based genetic data markets; (3) Examine opportunities for joint consent management via DLT; (4) Investigate and evaluate data storage models appropriate for DLT; (5) Research the regulation-compliant use of DLT in healthcare information systems; (6) Investigate alternative consensus mechanisms based on Proof of Useful Work; and (7) Explore DLT-enabled approaches for the protection of genetic data ensuring user privacy. Conclusion While research on DLT in genomics is currently growing, there are many unresolved problems. This literature review outlines extant research and provides future directions for researchers and practitioners.

Funder

Helmholtz Association under the joint research school “HIDSS4Health—Helmholtz Information and Data Science School for Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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