Evidence map›Paper›PMID 20339285›Full record

ArticlePublic health genomics2011

Assessing the privacy risks of data sharing in genomics.

C Heeney, N Hawkins, J de Vries, P Boddington, J Kaye

Open access · hybridAbstract read
In one paragraph

Article in Public health genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% of its field
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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
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  15. Controlling my genome with my smartphone: first clinical experiences of the PROMISE system.Clinical research in cardiology : official journal of the German Cardiac Society · 2022
    Article
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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

5 authors at 2 institutions in 1 country.

C HeeneyThe Ethox Centre, Department of Public Health and Primary Care, University of Oxford, Oxford, UK. catherine.heeney@ethox.ox.ac.uk
N Hawkins
J de Vries
P Boddington
J Kaye
University of Oxford · GBWellcome Centre for Ethics and Humanities · GB

Funding

Wellcome Trust 096599Wellcome Trust WT 076070/Z/04/ZWellcome Trust WT 077869/Z/05/ZWellcome Trust wt 081407/Z/06/ZWellcome Trust WT 083326/Z/07/Z
6 · The paper itself

Abstract

The protection of identity of participants in medical research has traditionally been guaranteed by the maintenance of the confidentiality of health information through mechanisms such as only releasing data in an aggregated form or after identifying variables have been removed. This protection of privacy is regarded as a fundamental principle of research ethics, through which the support of research participants and the public is maintained. Whilst this traditional model was adopted for genetics and genomics research, and was generally considered broadly fit for purpose, we argue that this approach is increasingly untenable in genomics. Privacy risk assessments need to have regard to the whole data environment, not merely the quality of the dataset to be released in isolation. As sources of data proliferate, issues of privacy protection are increasingly problematic in relation to the release of genomic data. However, we conclude that, by paying careful attention to potential pitfalls, scientific funders and researchers can take an important part in attempts to safeguard the public and ensure the continuation of potentially important scientific research.

Indexed as

Genetic Predisposition to DiseaseConfidentialityGenetic PrivacyGenetic ResearchGenetic TestingGenomicsHumansRisk Assessment

Identifiers

PMID20339285
PMCPMC2872768
OpenAlexW2116655074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.