ReviewNPJ genomic medicine2017
A community effort to protect genomic data sharing, collaboration and outsourcing.
Review in NPJ genomic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- A decade of research on genetic privacy: the findings of the GetPreCiSe Center at Vanderbilt University.Frontiers in genetics · 2025Review
- The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- SVAT: Secure outsourcing of variant annotation and genotype aggregation.BMC bioinformatics · 2022Article
- Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross-sectional analysis of the Saudi human genome program.Scientific reports · 2022Article
- The multidimensional legal nature of personal genomic sequence data: A South African perspective.Frontiers in genetics · 2022Article
- Haplotype-based membership inference from summary genomic data.Bioinformatics (Oxford, England) · 2021Article
- Considerations for an integrated population health databank in Africa: lessons from global best practices.Wellcome open research · 2021Article
- Governing Personalized Health: A Scoping Review.Frontiers in genetics · 2021Article
- Rights, interests and expectations: Indigenous perspectives on unrestricted access to genomic data.Nature reviews. Genetics · 2020Review
- Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study.Journal of medical Internet research · 2019Article
- DNA Data Marketplace: An Analysis of the Ethical Concerns Regarding the Participation of the Individuals.Frontiers in genetics · 2019Article
- Largescale population genomics versus deep phenotyping: Brute force or elegant pragmatism towards precision medicine.NPJ genomic medicine · 2019Article
- Secure Outsourced Matrix Computation and Application to Neural Networks.Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security · 2018Article
- Realizing the potential of blockchain technologies in genomics.Genome research · 2018Review
- Real-time Protection of Genomic Data Sharing in Beacon Services.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
The human genome can reveal sensitive information and is potentially re-identifiable, which raises privacy and security concerns about sharing such data on wide scales. In 2016, we organized the third Critical Assessment of Data Privacy and Protection competition as a community effort to bring together biomedical informaticists, computer privacy and security researchers, and scholars in ethical, legal, and social implications (ELSI) to assess the latest advances on privacy-preserving techniques for protecting human genomic data. Teams were asked to develop novel protection methods for emerging genome privacy challenges in three scenarios: Track (1) data sharing through the Beacon service of the Global Alliance for Genomics and Health. Track (2) collaborative discovery of similar genomes between two institutions; and Track (3) data outsourcing to public cloud services. The latter two tracks represent continuing themes from our 2015 competition, while the former was new and a response to a recently established vulnerability. The winning strategy for Track 1 mitigated the privacy risk by hiding approximately 11% of the variation in the database while permitting around 160,000 queries, a significant improvement over the baseline. The winning strategies in Tracks 2 and 3 showed significant progress over the previous competition by achieving multiple orders of magnitude performance improvement in terms of computational runtime and memory requirements. The outcomes suggest that applying highly optimized privacy-preserving and secure computation techniques to safeguard genomic data sharing and analysis is useful. However, the results also indicate that further efforts are needed to refine these techniques into practical solutions.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.