ArticleAmerican journal of human genetics2017
Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach.
Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03394859 (Electronic Medical Records and Genomics), which is not on this map. Cited by 23 papers, 3 of them syntheses that pooled it.
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.
Electronic Medical Records and Genomics (eMERGE) Phase III
Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Open tools for quantitative anonymization of tabular phenotype data: literature review.Briefings in bioinformatics · 2022Pooled it
- A systematic literature review of individuals' perspectives on privacy and genetic information in the United States.PloS one · 2018Pooled it
- A roadmap to precision medicine through post-genomic electronic medical records.Nature communications · 2025Review
- A decade of research on genetic privacy: the findings of the GetPreCiSe Center at Vanderbilt University.Frontiers in genetics · 2025Review
- Large-scale genotype prediction from RNA sequence data necessitates a new ethical and policy framework.Nature genetics · 2024Article
- Demystifying the likelihood of reidentification in neuroimaging data: A technical and regulatory analysis.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model.IEEE transactions on nanobioscience · 2023Article
- Enabling tradeoffs in privacy and utility in genomic data Beacons and summary statistics.Genome research · 2023Article
- A Multifaceted benchmarking of synthetic electronic health record generation models.Nature communications · 2022Article
- Sociotechnical safeguards for genomic data privacy.Nature reviews. Genetics · 2022Review
- Using game theory to thwart multistage privacy intrusions when sharing data.Science advances · 2021Article
- Re-identification of individuals in genomic datasets using public face images.Science advances · 2021Article
- Article
- Lessons learned from the eMERGE Network: balancing genomics in discovery and practice.HGG advances · 2021Review
- The Impact of Medical Big Data Anonymization on Early Acute Kidney Injury Risk Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Biomedical Research Cohort Membership Disclosure on Social Media.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Between Access and Privacy: Challenges in Sharing Health Data.Yearbook of medical informatics · 2018Review
- Detecting the Presence of an Individual in Phenotypic Summary Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 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
6 authors.
Funding
Abstract
Emerging scientific endeavors are creating big data repositories of data from millions of individuals. Sharing data in a privacy-respecting manner could lead to important discoveries, but high-profile demonstrations show that links between de-identified genomic data and named persons can sometimes be reestablished. Such re-identification attacks have focused on worst-case scenarios and spurred the adoption of data-sharing practices that unnecessarily impede research. To mitigate concerns, organizations have traditionally relied upon legal deterrents, like data use agreements, and are considering suppressing or adding noise to genomic variants. In this report, we use a game theoretic lens to develop more effective, quantifiable protections for genomic data sharing. This is a fundamentally different approach because it accounts for adversarial behavior and capabilities and tailors protections to anticipated recipients with reasonable resources, not adversaries with unlimited means. We demonstrate this approach via a new public resource with genomic summary data from over 8,000 individuals-the Sequence and Phenotype Integration Exchange (SPHINX)-and show that risks can be balanced against utility more effectively than with traditional approaches. We further show the generalizability of this framework by applying it to other genomic data collection and sharing endeavors. Recognizing that such models are dependent on a variety of parameters, we perform extensive sensitivity analyses to show that our findings are robust to their fluctuations.
Indexed as
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.