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Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research

Public–private partnerships (PPPs) have been increasingly used to spur and facilitate innovation in a number of fields. In healthcare, the purpose of using a PPP is commonly to develop and/or provide vaccines and drugs against communicable diseases, mainly in developing or underdeveloped countries....

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Autores principales: Granados Moreno, Palmira, Joly, Yann, Knoppers, Bartha Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5247451/
https://www.ncbi.nlm.nih.gov/pubmed/28164085
http://dx.doi.org/10.3389/fmed.2017.00003
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author Granados Moreno, Palmira
Joly, Yann
Knoppers, Bartha Maria
author_facet Granados Moreno, Palmira
Joly, Yann
Knoppers, Bartha Maria
author_sort Granados Moreno, Palmira
collection PubMed
description Public–private partnerships (PPPs) have been increasingly used to spur and facilitate innovation in a number of fields. In healthcare, the purpose of using a PPP is commonly to develop and/or provide vaccines and drugs against communicable diseases, mainly in developing or underdeveloped countries. With the advancement of technology and of the area of genomics, these partnerships also focus on large-scale genomic research projects that aim to advance the understanding of diseases that have a genetic component and to develop personalized treatments. This new focus has created new forms of PPPs that involve information technology companies, which provide computing infrastructure and services to store, analyze, and share the massive amounts of data genomic-related projects produce. In this article, we explore models of PPPs proposed to handle, protect, and share the genomic data collected and to further develop genomic-based medical products. We also identify the reasons that make these models suitable and the challenges they have yet to overcome. To achieve this, we describe the details and complexities of MSSNG, International Cancer Genome Consortium, and 100,000 Genomes Project, the three PPPs that focus on large-scale genomic research to better understand the genetic components of autism, cancer, rare diseases, and infectious diseases with the intention to find appropriate treatments. Organized as PPP and employing cloud-computing services, the three projects have advanced quickly and are likely to be important sources of research and development for future personalized medicine. However, there still are unresolved matters relating to conflicts of interest, commercialization, and data control. Learning from the challenges encountered by past PPPs allowed us to establish that developing guidelines to adequately manage personal health information stored in clouds and ensuring the protection of data integrity and privacy would be critical steps in the development of future PPPs.
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spelling pubmed-52474512017-02-03 Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research Granados Moreno, Palmira Joly, Yann Knoppers, Bartha Maria Front Med (Lausanne) Medicine Public–private partnerships (PPPs) have been increasingly used to spur and facilitate innovation in a number of fields. In healthcare, the purpose of using a PPP is commonly to develop and/or provide vaccines and drugs against communicable diseases, mainly in developing or underdeveloped countries. With the advancement of technology and of the area of genomics, these partnerships also focus on large-scale genomic research projects that aim to advance the understanding of diseases that have a genetic component and to develop personalized treatments. This new focus has created new forms of PPPs that involve information technology companies, which provide computing infrastructure and services to store, analyze, and share the massive amounts of data genomic-related projects produce. In this article, we explore models of PPPs proposed to handle, protect, and share the genomic data collected and to further develop genomic-based medical products. We also identify the reasons that make these models suitable and the challenges they have yet to overcome. To achieve this, we describe the details and complexities of MSSNG, International Cancer Genome Consortium, and 100,000 Genomes Project, the three PPPs that focus on large-scale genomic research to better understand the genetic components of autism, cancer, rare diseases, and infectious diseases with the intention to find appropriate treatments. Organized as PPP and employing cloud-computing services, the three projects have advanced quickly and are likely to be important sources of research and development for future personalized medicine. However, there still are unresolved matters relating to conflicts of interest, commercialization, and data control. Learning from the challenges encountered by past PPPs allowed us to establish that developing guidelines to adequately manage personal health information stored in clouds and ensuring the protection of data integrity and privacy would be critical steps in the development of future PPPs. Frontiers Media S.A. 2017-01-20 /pmc/articles/PMC5247451/ /pubmed/28164085 http://dx.doi.org/10.3389/fmed.2017.00003 Text en Copyright © 2017 Granados Moreno, Joly and Knoppers. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Granados Moreno, Palmira
Joly, Yann
Knoppers, Bartha Maria
Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
title Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
title_full Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
title_fullStr Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
title_full_unstemmed Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
title_short Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
title_sort public–private partnerships in cloud-computing services in the context of genomic research
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5247451/
https://www.ncbi.nlm.nih.gov/pubmed/28164085
http://dx.doi.org/10.3389/fmed.2017.00003
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