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Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine
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 e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770961/ https://www.ncbi.nlm.nih.gov/pubmed/31492022 http://dx.doi.org/10.3390/genes10090682 |
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author | Boonen, Kurt Hens, Kristien Menschaert, Gerben Baggerman, Geert Valkenborg, Dirk Ertaylan, Gokhan |
author_facet | Boonen, Kurt Hens, Kristien Menschaert, Gerben Baggerman, Geert Valkenborg, Dirk Ertaylan, Gokhan |
author_sort | Boonen, Kurt |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6770961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67709612019-10-30 Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine Boonen, Kurt Hens, Kristien Menschaert, Gerben Baggerman, Geert Valkenborg, Dirk Ertaylan, Gokhan Genes (Basel) Opinion 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. MDPI 2019-09-05 /pmc/articles/PMC6770961/ /pubmed/31492022 http://dx.doi.org/10.3390/genes10090682 Text en © 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/). |
spellingShingle | Opinion Boonen, Kurt Hens, Kristien Menschaert, Gerben Baggerman, Geert Valkenborg, Dirk Ertaylan, Gokhan Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine |
title | Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine |
title_full | Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine |
title_fullStr | Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine |
title_full_unstemmed | Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine |
title_short | Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine |
title_sort | beyond genes: re-identifiability of proteomic data and its implications for personalized medicine |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770961/ https://www.ncbi.nlm.nih.gov/pubmed/31492022 http://dx.doi.org/10.3390/genes10090682 |
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