Evidence map›Paper›PMID 32346464›Full record

ReviewComputational and structural biotechnology journal2020

Dynamic-informed consent: A potential solution for ethical dilemmas in population sequencing initiatives.

Fida K Dankar, Marton Gergely, Bradley Malin, Radja Badji, Samar K Dankar, Khaled Shuaib

Registry-linked trialAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06656247 (Biobanks, Registries and National Health Records), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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.

NCT06656247 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Biobanks, Registries and National Health Records: Modelling a Networking Strategy to Foster Research and Development and to Support the Secondary Use of Data and Samples of Rare Disease Patients: Implementing Dynamic Consent for Rare Disease Patients

TypeobservationalSponsorIstituto Ortopedico RizzoliRan2026 to 2027Enrolled50ConditionsRare DisordersArmsOnline consenting
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  8. On the ethical governance of swarm robotic systems in the real world.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  9. Review
  10. Article
  11. Integrating population-based biobanks: Catalyst for advances in precision health.Computational and structural biotechnology journal · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

6 authors.

Fida K DankarCollege of Information Technology, UAEU, Al-Ain, United Arab Emirates.
Marton GergelyCollege of Information Technology, UAEU, Al-Ain, United Arab Emirates.
Bradley MalinDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
Radja BadjiIndependent Scientist, Lille, France.
Samar K DankarIndependent Scientist, Ottawa, Canada.
Khaled ShuaibCollege of Information Technology, UAEU, Al-Ain, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the majority of population-level genome sequencing initiatives claim to follow the principles of informed consent, the requirements for informed consent have not been-well defined in this context. In fact, the implementation of informed consent differs greatly across these initiatives - spanning broad consent, blanket consent, and tiered consent among others. As such, this calls for an investigation into the requirements for consent to be "informed" in the context of population genomics. One particular strategy that claims to be fully informed and to continuously engage participants is called "dynamic consent". Dynamic consent is based on a personalised communication platform that aims to facilitate the consent process. It is oriented to support continuous two-way communication between researchers and participants. In this paper, we analyze the requirements of informed consent in the context of population genomics, review various current implementations of dynamic consent, assess whether they fulfill the requirement of informed consent, and, in turn, enable participants to make autonomous and informed choices on whether or not to participate in research projects.

Indexed as

Data privacyDynamic consentInformed consentPopulation genomics

Identifiers

PMID32346464
PMCPMC7182686

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.