Evidence map›Paper›PMID 26640318›Full record

ArticleACM computing surveys2015

Privacy in the Genomic Era.

Muhammad Naveed, Erman Ayday, Ellen W Clayton, Jacques Fellay, Carl A Gunter, Jean-Pierre Hubaux, Bradley A Malin, Xiaofeng Wang

Abstract read
In one paragraph

Article in ACM computing surveys, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed.

  1. Review
  2. Article
  3. Life science alliance · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research.Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. A resampling-based approach to share reference panels.Nature computational science · 2024
    Article
  18. Privacy-Preserving Fingerprinting Against Collusion and Correlation Threats in Genomic Data.Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium · 2024
    Article
  19. Ensuring Trust in Genomics Research.... IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications : (TPS-ISA ...). IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications · 2023
    Article
  20. Article

21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Muhammad NaveedUniversity of Illinois at Urbana-Champaign.
Erman AydayEcole Polytechnique Federale de Lausanne.
Ellen W ClaytonVanderbilt University.
Jacques FellayEcole Polytechnique Federale de Lausanne.
Carl A GunterUniversity of Illinois at Urbana-Champaign.
Jean-Pierre HubauxEcole Polytechnique Federale de Lausanne.
Bradley A MalinVanderbilt University.
Xiaofeng WangIndiana University at Bloomington.

Funding

eMERGE Coordinating Center - Administrative SupplementU01HG006385 · NHGRI · VANDERBILT UNIVERSITY · PI HARRIS, PAUL A. · 2011 to 2014
$5.4M
A Risk Management Framework for Identifiability in Genomics ResearchR01HG006844 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALIN, BRADLEY A. · 2012 to 2019
$2.4M
Technologies to Enable Privacy in Biomedical DatabanksR01LM009989 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALIN, BRADLEY A. · 2009 to 2014
$1.6M
Privacy preserving technologies for human genome data analysis and disseminationR01HG007078 · NHGRI · TRUSTEES OF INDIANA UNIVERSITY · PI TANG, HAIXU, WANG, XIAOFENG · 2013 to 2015
$886k
NHGRI NIH HHS R01 HG006844NHGRI NIH HHS R01 HG007078NHGRI NIH HHS U01 HG006385NLM NIH HHS R01 LM009989
6 · The paper itself

Abstract

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical services. While the benefits of the genomics revolution are trumpeted by the biomedical community, the increased availability of such data has major implications for personal privacy; notably because the genome has certain essential features, which include (but are not limited to)

Indexed as

Additional Key Words and Phrases: genomics privacybiomedical researchhealthcarerecreational genomicssecurity

Identifiers

PMID26640318
PMCPMC4666540

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.