lunes, 29 de mayo de 2017

Public-Private Partnerships in Cloud-Computing Services in the Context of Genomic Research. - PubMed - NCBI

Public-Private Partnerships in Cloud-Computing Services in the Context of Genomic Research. - PubMed - NCBI



 2017 Jan 20;4:3. doi: 10.3389/fmed.2017.00003. eCollection 2017.

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

Abstract

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.

KEYWORDS:

1000 Genomes Project; ICGC; MSSNG; cloud computing; genomic research; large-scale projects; public–private partnerships

PMID:
 
28164085
 
PMCID:
 
PMC5247451
 
DOI:
 
10.3389/fmed.2017.00003

No hay comentarios: