Cited by 144Privacy-Preserving Technologies in DataEthics in Clinical ResearchPrivacy, Security, and Data Protection

The Complexities of Genomic Identifiability

Rodriguez, Laura L., Brooks, Lisa D., Greenberg, Judith H., Green, Eric D.·2013·Science

Abstract

Recent work reveals the need to re-examine the current paradigms for managing the potential identifiability of genomic and other "omic"-type data. [Also see News story and Report by Gymrek et al. ]

Integrity signals

Registry

Crossref · 10.1126/science.1234593

Cites

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  • Usually, identifying the source of a genetic sample from which identifiers have been removed would require intent and technical wherewithal, as well as motivation and a means by which to exploit this information.

    “Furthermore, the original source of HeLa cells is decidedly famous; usually, identifying the source of a genetic sample from which identifiers have been removed would require intent and technical wherewithal, as well as motivation and a means by which to exploit this information (117).”

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References 12 · Cited by 144

Authors
Rodriguez, L. L., Brooks, L. D., Greenberg, J. H., & Green, E. D.
Affiliations
National Institutes of Health (US)
Corresponding author
Green, Eric D.
Venue
Science
Published
2013-01-18
Volume
339
Issue
6117
Pages
275-276
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1981382919
Cited by
144
References
12
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 7 · 2022: 24 · 2021: 5 · 2020: 12 · 2019: 4 · 2018: 8 · 2017: 4 · 2016: 18 · 2015: 10 · 2014: 24 · 2013: 20
FWCI
26.49
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
genetic privacy, re-identification, genomic data management
MeSH terms
Humans, Human Genome Project, Tandem Repeat Sequences, Genomics, Genetic Privacy, Information Dissemination, Biomedical Research, Chromosomes, Human, Y

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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