Evidence map›Paper›PMID 38872191›Full record

ReviewGenome biology2024

Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility.

Alissa Brauneck, Louisa Schmalhorst, Stefan Weiss, Linda Baumbach, Uwe Völker, David Ellinghaus, Jan Baumbach, Gabriele Buchholtz

Erratum issuedAbstract readReview
In one paragraph

Review in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Pharmacomicrobiomics.Clinical pharmacology and therapeutics · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Alissa Brauneck *Hamburg University Faculty of Law, University of Hamburg, Hamburg, Germany. alissa.brauneck@uni-hamburg.de.
Louisa Schmalhorst *Hamburg University Faculty of Law, University of Hamburg, Hamburg, Germany.ORCID 0000-0002-6397-2398
Stefan WeissInterfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Linda BaumbachDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Uwe VölkerInterfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
David Ellinghaus *Institute of Clinical Molecular Biology (IKMB), Kiel University and University Medical Center Schleswig-Holstein, Kiel, Germany.
Jan Baumbach *Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Gabriele Buchholtz *Hamburg University Faculty of Law, University of Hamburg, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic data holds huge potential for medical progress but requires strict safety measures due to its sensitive nature to comply with data protection laws. This conflict is especially pronounced in genome-wide association studies (GWAS) which rely on vast amounts of genomic data to improve medical diagnoses. To ensure both their benefits and sufficient data security, we propose a federated approach in combination with privacy-enhancing technologies utilising the findings from a systematic review on federated learning and legal regulations in general and applying these to GWAS.

Indexed as

Computer SecurityGenome-Wide Association StudyGenetic PrivacyHumans

Identifiers

PMID38872191
PMCPMC11170858

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.