Journal
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
Volume 154, Issue -, Pages -Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijmedinf.2021.104559
Keywords
Blockchain Distributed Ledger Technology; Pharmacogenetics; Gene-Drug Interaction; Data Sharing; Smart Contract
Categories
Funding
- U.S. National Institutes of Health (NIH) [R13HG009072]
- National Human Genome Research Institute (NHGRI) of the U.S. NIH [R00HG009680]
- U.S. NIH [R01HL136835, R01GM118609, R01HG011066]
- UCSD Academic Senate Research Grant [RG084150]
- Laboratory Directed Research and Development program at Sandia National Laboratories
- U.S. Department of Energy's National Nuclear Security Administration [DE-NA0003525]
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The study focuses on benchmarking blockchain strategies for sharing gene-drug interaction records, showing that blockchain can be leveraged to expedite personalized medicine with fast and efficient data retrieval.
Background: Blockchain distributed ledger technology is just starting to be adopted in genomics and healthcare applications. Despite its increased prevalence in biomedical research applications, skepticism regarding the practicality of blockchain technology for real-world problems is still strong and there are few implementations beyond proof-of-concept. We focus on benchmarking blockchain strategies applied to distributed methods for sharing records of gene-drug interactions. We expect this type of sharing will expedite personalized medicine. Basic Procedures: We generated gene-drug interaction test datasets using the Clinical Pharmacogenetics Implementation Consortium (CPIC) resource. We developed three blockchain-based methods to share patient records on gene-drug interactions: Query Index, Index Everything, and Dual-Scenario Indexing. Main Findings: We achieved a runtime of about 60 s for importing 4,000 gene-drug interaction records from four sites, and about 0.5 s for a data retrieval query. Our results demonstrated that it is feasible to leverage blockchain as a new platform to share data among institutions. Principal Conclusions: We show the benchmarking results of novel blockchain-based methods for institutions to share patient outcomes related to gene-drug interactions. Our findings support blockchain utilization in healthcare, genomic and biomedical applications. The source code is publicly available at https://github.com/ts ungtingkuo/genedrug.
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