ArticleProceedings. AMIA Symposium2001
Re-identification of DNA through an automated linkage process.
Article in Proceedings. AMIA Symposium, 2001. 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.
- Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study.BMC medical informatics and decision making · 2026Article
- Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data.NPJ precision oncology · 2025Article
- Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification.Journal of healthcare informatics research · 2023Article
- Expanding the attack surface: Robust profiling attacks threaten the privacy of sparse behavioral data.Science advances · 2022Article
- The interface of genomic information with the electronic health record: a points to consider statement of the American College of Medical Genetics and Genomics (ACMG).Genetics in medicine : official journal of the American College of Medical Genetics · 2020Article
- Genomics, Big Data, and Broad Consent: a New Ethics Frontier for Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2018Article
- Article
- Epigenome data release: a participant-centered approach to privacy protection.Genome biology · 2015Article
- Translating personalized medicine using new genetic technologies in clinical practice: the ethical issues.Personalized medicine · 2014Article
- Mining electronic health records: towards better research applications and clinical care.Nature reviews. Genetics · 2012Review
- How anonymous is 'anonymous'? Some suggestions towards a coherent universal coding system for genetic samples.Journal of medical ethics · 2012Article
- Swabbing students: should universities be allowed to facilitate educational DNA testing?The American journal of bioethics : AJOB · 2012Article
- The re-identification risk of Canadians from longitudinal demographics.BMC medical informatics and decision making · 2011Article
- A security architecture for query tools used to access large biomedical databases.Proceedings. AMIA Symposium · 2002Article
- iDASH: integrating data for analysis, anonymization, and sharing.Journal of the American Medical Informatics Association : JAMIAArticle
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work demonstrates how seemingly anonymous DNA database entries can be related to publicly available health information to uniquely and specifically identify the persons who are the subjects of the information even though the DNA information contains no accompanying explicit identifiers such as name, address, or Social Security number and contains no additional fields of personal information. The software program, REID (Re-Identification of DNA), iteratively uncovers unique occurrences in visit-disease patterns across data collections that reveal inferences about the identities of the patients who are the subject of the DNA. Using real-world data, REID established identifiable linkages in 33-100% of the 10,886 cases explicitly surveyed over 8 gene-based diseases.
Indexed as
Identifiers
11825223PMC2243547What 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.