Evidence map›Paper›PMID 28382417›Full record

ArticleJournal of community genetics2017

De-identified genomic data sharing: the research participant perspective.

Deborah Goodman, Catherine O Johnson, Deborah Bowen, Megan Smith, Lari Wenzel, Karen Edwards

Abstract read
In one paragraph

Article in Journal of community genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 7 pooled it
–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

45 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Article
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  14. "ItResearch ethics · 2025
    Article
  15. Article
  16. Review
  17. Australian Attitudes Towards Waivers of Consent Within the Context of Genomic Data Sharing.Journal of empirical research on human research ethics : JERHRE · 2024
    Article
  18. Article
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  20. Observational
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

6 authors.

Deborah GoodmanDepartment of Epidemiology, University of California, Irvine Hall, Irvine, CA, 92697, USA. goodmand@uci.ed.ORCID http://orcid.org/0000-0003-2006-8718
Catherine O JohnsonDepartment of Public Health, University of California, Irvine, CA, USA.
Deborah BowenSchool of Public Health, University of Washington, Seattle, WA, USA.
Megan SmithCenter for Statistical Consulting, University of California, Irvine, CA, USA.
Lari WenzelDepartment of Public Health, University of California, Irvine, CA, USA.
Karen EdwardsDepartment of Epidemiology, University of California, Irvine Hall, Irvine, CA, 92697, USA.

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
NCI NIH HHS P30 CA062203
6 · The paper itself

Abstract

Combining datasets into larger and separate datasets is becoming increasingly common, and personal identifiers are often removed in order to maintain participant anonymity. Views of research participants on the use of de-identified data in large research datasets are important for future projects, such as the Precision Medicine Initiative and Cancer Moonshot Initiative. This quantitative study set in the USA examines participant preferences and evaluates differences by demographics and cancer history. Study participants were recruited from the Northwest Cancer Genetics Registry and included cancer patients, their relatives, and controls. A secure online survey was administered to 450 participants. While the majority participants were not concerned about personal identification when participating in a genetic study using de-identified data, they expressed their concern that researchers protect their privacy and information. Most participants expressed a desire that their data should be available for as many research studies as possible, and in doing so, they would increase their chance of receiving personal health information. About 20% of participants felt that a link should not be maintained between the participant and their de-identified data. Reasons to maintain a link included an ability to return individual health results and an ability to support further research. Knowledge of participants' attitudes regarding the use of data into a research repository and the maintenance of a link to de-identified data is critical to the success of recruitment into future genomic research projects.

Indexed as

Data linkageDe-identificationGenomic researchParticipant viewsPrecision Medicine

Identifiers

PMID28382417
PMCPMC5496839

What OpenQuestion holds

Textmetadata
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.