Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29929
Title: Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine
Authors: Boonen, Kurt
Hens, Kristien
Menschaert, Gerben
Baggerman, Geert
VALKENBORG, Dirk 
Ertaylan, Gokhan
Issue Date: 2019
Publisher: MDPI
Source: GENES, 10(9) (Art N° 682)
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.
Notes: [Boonen, Kurt; Baggerman, Geert; Ertaylan, Gokhan] VITO Hlth, Boeretang 200, B-2400 Mol, Belgium. [Boonen, Kurt; Baggerman, Geert] Univ Antwerp, Ctr Prote, B-2020 Antwerp, Belgium. [Hens, Kristien] Univ Antwerp, Dept Philosophy, B-2000 Antwerp, Belgium. [Hens, Kristien] Katholieke Univ Leuven, Inst Philosophy, B-3000 Leuven, Belgium. [Menschaert, Gerben] Univ Ghent, Dept Data Anal & Math Modelling, Biobix, B-9000 Ghent, Belgium. [Valkenborg, Dirk] Hasselt Univ, B-3500 Hasselt, Belgium.
Keywords: proteomics; re-identifiability; privacy; genomics; data; personal medicine;proteomics; re-identifiability; privacy; genomics; data; personal medicine
Document URI: http://hdl.handle.net/1942/29929
e-ISSN: 2073-4425
DOI: 10.3390/genes10090682
ISI #: 000487954700090
Rights: 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
boonen 1.pdfPublished version266.58 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

2
checked on Sep 5, 2020

WEB OF SCIENCETM
Citations

14
checked on Apr 24, 2024

Page view(s)

126
checked on Sep 5, 2022

Download(s)

170
checked on Sep 5, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.