Evidence map›Paper›PMID 31492022›Full record

ReviewGenes2019

Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine.

Kurt Boonen, Kristien Hens, Gerben Menschaert, Geert Baggerman, Dirk Valkenborg, Gokhan Ertaylan

Abstract readReview
In one paragraph

Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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  14. Associations between the Willingness to Donate Samples to Biobanks and Selected Psychological Variables.International journal of environmental research and public health · 2022
    Article
  15. Identifying individuals using proteomics: are we there yet?Frontiers in molecular biosciences · 2022
    Review
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  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.

Kurt BoonenVITO Health, Boeretang 200, Mol 2400, Belgium. Kurt.Boonen@vito.be.ORCID 0000-0002-6252-7065
Kristien HensDepartment of Philosophy, University of Antwerp, Antwerp 2000 & Institute of Philosophy, KU Leuven, Leuven 3000, Belgium. Kristien.Hens@uantwerpen.be.ORCID 0000-0003-1062-7918
Gerben MenschaertBiobix, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent 9000, Belgium. gerben.menschaert@gmail.com.ORCID 0000-0002-7575-2085
Geert BaggermanVITO Health, Boeretang 200, Mol 2400, Belgium. geert.baggerman@vito.be.
Dirk ValkenborgHasselt University, Hasselt 3500, Belgium. dirk.valkenborg@uhasselt.be.
Gokhan ErtaylanVITO Health, Boeretang 200, Mol 2400, Belgium. Gokhan.Ertaylan@vito.be.ORCID 0000-0001-5602-6435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing availability of high throughput proteomics data provides us with opportunities as well as posing new ethical challenges regarding data privacy and re-identifiability of participants. Moreover, the fact that proteomics represents a level between the genotype and the phenotype further exacerbates the situation, introducing dilemmas related to publicly available data, anonymization, ownership of information and incidental findings. In this paper, we try to differentiate proteomics from genomics data and cover the ethical challenges related to proteomics data sharing. Finally, we give an overview of the proposed solutions and the outlook for future studies.

Indexed as

Genetic PrivacyHumansInformed ConsentPrecision MedicineProteomicsdatagenomicspersonal medicineprivacyproteomicsre-identifiability

Identifiers

PMID31492022
PMCPMC6770961

What OpenQuestion 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 OpenQuestion graph.