ReviewAnnals of the New York Academy of Sciences2017
An overview of human genetic privacy.
Review in Annals of the New York Academy of Sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.
- Flimma: a federated and privacy-aware tool for differential gene expression analysis.Genome biology · 2021Pooled it
- Homomorphic encryption enables privacy preserving polygenic risk scores.Cell reports methods · 2026Article
- nf-core/detaxizer: a benchmarking study for decontamination from human sequences.NAR genomics and bioinformatics · 2025Article
- AI-Driven Biomarker Discovery and Personalized Allergy Treatment: Utilizing Machine Learning and NGS.Current allergy and asthma reports · 2025Review
- Storing paediatric genomic data for sequential interrogation across the lifespan.Journal of medical ethics · 2025Article
- Geneticization in the genomic era: a scoping review of ethical, clinical, and sociocultural transformations.Frontiers in sociology · 2025Review
- Article
- Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review.JMIR bioinformatics and biotechnology · 2024Article
- Balancing the safeguarding of privacy and data sharing: perceptions of genomic professionals on patient genomic data ownership in Australia.European journal of human genetics : EJHG · 2024Article
- Sociotechnical safeguards for genomic data privacy.Nature reviews. Genetics · 2022Review
- AMAISE: a machine learning approach to index-free sequence enrichment.Communications biology · 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
- Differential privacy in health research: A scoping review.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives.Briefings in bioinformatics · 2020Review
- Developing model biobanking consent language: what matters to prospective participants?BMC medical research methodology · 2020Article
- Decisional conflict among adolescents and parents making decisions about genomic sequencing results.Clinical genetics · 2020Article
- Informed Consent Form Challenges for Genetic Research in Jordan.Journal of multidisciplinary healthcare · 2020Article
- The Evolving Field of Genetic Epidemiology: From Familial Aggregation to Genomic Sequencing.American journal of epidemiology · 2019Review
- Society and personal genome data.Human molecular genetics · 2018Review
- Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.Briefings in bioinformatics · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The study of human genomics is becoming a Big Data science, owing to recent biotechnological advances leading to availability of millions of personal genome sequences, which can be combined with biometric measurements from mobile apps and fitness trackers, and of human behavior data monitored from mobile devices and social media. With increasing research opportunities for integrative genomic studies through data sharing, genetic privacy emerges as a legitimate yet challenging concern that needs to be carefully addressed, not only for individuals but also for their families. In this paper, we present potential genetic privacy risks and relevant ethics and regulations for sharing and protecting human genomics data. We also describe the techniques for protecting human genetic privacy from three broad perspectives: controlled access, differential privacy, and cryptographic solutions.
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.