ArticleCell2020
Data Sanitization to Reduce Private Information Leakage from Functional Genomics.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Privacy-preserving pangenome graphs.Nature communications · 2026Article
- NoisyFlow: differentially private optimal transport using neural networks for secure biomedical data sharing across multiple institutions.Bioinformatics (Oxford, England) · 2026Article
- Study Protocol for HeartMagic: A Prospective Observational Cohort Characterizing Subtypes of Heart Failure With Preserved Ejection Fraction.Journal of the American Heart Association · 2025Article
- Warp analysis research pipelines: cloud-optimized workflows for biological data processing and reproducible analysis.Bioinformatics (Oxford, England) · 2025Article
- The new microbiome on the block: challenges and opportunities of using human tumor sequencing data to study microbes.Nature methods · 2025Review
- Secure and scalable gene expression quantification with pQuant.Nature communications · 2025Article
- Omics Approaches to Investigate the Pathogenesis of Suicide.Biological psychiatry · 2024Review
- Article
- Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data.Journal of biomedical informatics · 2024Article
- Astronaut omics and the impact of space on the human body at scale.Nature communications · 2024Review
- Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review.JMIR bioinformatics and biotechnology · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.Science (New York, N.Y.) · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024Article
- Assessing transcriptomic reidentification risks using discriminative sequence models.Genome research · 2023Article
- Session Introduction: TOWARDS ETHICAL BIOMEDICAL INFORMATICS: LEARNING FROM OLELO NOEAU, HAWAIIAN PROVERBS.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023Article
- Privacy-aware estimation of relatedness in admixed populations.Briefings in bioinformatics · 2022Article
- Routine omics collection is a golden opportunity for European human research in space and analog environments.Patterns (New York, N.Y.) · 2022Review
- Sociotechnical safeguards for genomic data privacy.Nature reviews. Genetics · 2022Review
- Storing and analyzing a genome on a blockchain.Genome biology · 2022Article
- Functional genomics data: privacy risk assessment and technological mitigation.Nature reviews. Genetics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The generation of functional genomics datasets is surging, because they provide insight into gene regulation and organismal phenotypes (e.g., genes upregulated in cancer). The intent behind functional genomics experiments is not necessarily to study genetic variants, yet they pose privacy concerns due to their use of next-generation sequencing. Moreover, there is a great incentive to broadly share raw reads for better statistical power and general research reproducibility. Thus, we need new modes of sharing beyond traditional controlled-access models. Here, we develop a data-sanitization procedure allowing raw functional genomics reads to be shared while minimizing privacy leakage, enabling principled privacy-utility trade-offs. Our protocol works with traditional Illumina-based assays and newer technologies such as 10x single-cell RNA sequencing. It involves quantifying the privacy leakage in reads by statistically linking study participants to known individuals. We carried out these linkages using data from highly accurate reference genomes and more realistic environmental samples.
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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.