Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29929
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dc.contributor.authorBoonen, Kurt-
dc.contributor.authorHens, Kristien-
dc.contributor.authorMenschaert, Gerben-
dc.contributor.authorBaggerman, Geert-
dc.contributor.authorVALKENBORG, Dirk-
dc.contributor.authorErtaylan, Gokhan-
dc.date.accessioned2019-11-12T13:02:50Z-
dc.date.available2019-11-12T13:02:50Z-
dc.date.issued2019-
dc.identifier.citationGENES, 10(9) (Art N° 682)-
dc.identifier.issn2073-4425-
dc.identifier.urihttp://hdl.handle.net/1942/29929-
dc.description.abstractThe 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.-
dc.description.sponsorshipKristien Hens has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 804881).-
dc.language.isoen-
dc.publisherMDPI-
dc.rights2019 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/).-
dc.subject.otherproteomics; re-identifiability; privacy; genomics; data; personal medicine-
dc.subject.otherproteomics; re-identifiability; privacy; genomics; data; personal medicine-
dc.titleBeyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine-
dc.typeJournal Contribution-
dc.identifier.issue9-
dc.identifier.volume10-
local.format.pages13-
local.bibliographicCitation.jcatA1-
dc.description.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.-
local.publisher.placeBASEL-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr682-
local.relation.h2020804881-
dc.identifier.doi10.3390/genes10090682-
dc.identifier.isi000487954700090-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationBoonen, Kurt; Hens, Kristien; Menschaert, Gerben; Baggerman, Geert; VALKENBORG, Dirk & Ertaylan, Gokhan (2019) Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine. In: GENES, 10(9) (Art N° 682).-
item.validationecoom 2020-
item.contributorBoonen, Kurt-
item.contributorHens, Kristien-
item.contributorMenschaert, Gerben-
item.contributorBaggerman, Geert-
item.contributorVALKENBORG, Dirk-
item.contributorErtaylan, Gokhan-
crisitem.journal.eissn2073-4425-
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