Evidence map›Paper›PMID 24281371›Full record

ArticleEuropean journal of human genetics : EJHG2014

Research participants' attitudes towards the confidentiality of genomic sequence information.

Leila Jamal, Julie C Sapp, Katie Lewis, Tatiane Yanes, Flavia M Facio, Leslie G Biesecker, Barbara B Biesecker

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Navigating data sharing in research.American journal of human genetics · 2026
    Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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
  15. Review
  16. Sharing administrative health data with private industry: A report on two citizens' juries.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Big Data Privacy in Biomedical Research.IEEE transactions on big data · 2020
    Article
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

7 authors.

Leila Jamal1] Department of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA [2] Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Julie C SappGenetic Disease Research Branch, National Human Genome Research Institute, Bethesda, MD, USA.
Katie LewisGenetic Disease Research Branch, National Human Genome Research Institute, Bethesda, MD, USA.
Tatiane YanesSchool of Biomolecular and Physical Sciences, Griffith University, Brisbane, Australia.
Flavia M FacioGenetic Disease Research Branch, National Human Genome Research Institute, Bethesda, MD, USA.
Leslie G BieseckerGenetic Disease Research Branch, National Human Genome Research Institute, Bethesda, MD, USA.
Barbara B Biesecker1] Genetic Disease Research Branch, National Human Genome Research Institute, Bethesda, MD, USA [2] Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA.

Funding

NHGRI/DIR Genetic Counseling Training ProgramZIEHG200353 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERBY, LORI · 2010 to 2025
$16.9M
Genomic Ascertainment - Clinical and Behavioral AspectsZIAHG200387 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BIESECKER, LESLIE · 2013 to 2025
$15.5M
Intramural NIH HHS ZIE HG200353
6 · The paper itself

Abstract

Respecting the confidentiality of personal data contributed to genomic studies is an important issue for researchers using genomic sequencing in humans. Although most studies adhere to rules of confidentiality, there are different conceptions of confidentiality and why it is important. The resulting ambiguity obscures what is at stake when making tradeoffs between data protection and other goals in research, such as transparency, reciprocity, and public benefit. Few studies have examined why participants in genomic research care about how their information is used. To explore this topic, we conducted semi-structured phone interviews with 30 participants in two National Institutes of Health research protocols using genomic sequencing. Our results show that research participants value confidentiality as a form of control over information about themselves. To the individuals we interviewed, control was valued as a safeguard against discrimination in a climate of uncertainty about future uses of individual genome data. Attitudes towards data sharing were related to the goals of research and details of participants' personal lives. Expectations of confidentiality, trust in researchers, and a desire to advance science were common reasons for willingness to share identifiable data with investigators. Nearly, all participants were comfortable sharing personal data that had been de-identified. These findings suggest that views about confidentiality and data sharing are highly nuanced and are related to the perceived benefits of joining a research study.

Indexed as

ConfidentialityGenetic PrivacyHealth Knowledge, Attitudes, PracticeResearch SubjectsAdultAgedFemaleHealth Care SurveysHumansInformation DisseminationMaleMiddle AgedNational Institutes of Health (U.S.)Surveys and QuestionnairesUnited States

Identifiers

PMID24281371
PMCPMC4350593

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.