Cloud-based genomics pipelines for ophthalmology: reviewed from research to clinical practice
Vol. 3 No. 1 (2021), Review Articles
Vol. 3 No. 1 (2021)

Cloud-based genomics pipelines for ophthalmology: reviewed from research to clinical practice

Review Articles
https://doi.org/10.35119/maio.v3i1.115
Published 2021-09-17
David C.S. Wong
School of Clinical Medicine, University of Cambridge, Cambridge, UK
https://orcid.org/0000-0002-1712-9527
Maximiliano Olivera
Moorfields Eye Hospital NHS Foundation Trust, London, UK
https://orcid.org/0000-0001-8446-1469
Jing Yu
Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
https://orcid.org/0000-0001-8001-8494
Anita Szabo
Institute of Ophthalmology, University College London, London UK
https://orcid.org/0000-0002-8912-897X
Ismail Moghul
UCL Cancer Institute, University College London, London, UK
https://orcid.org/0000-0003-3653-2327
Konstantinos Balaskas
Moorfields Eye Hospital NHS Foundation Trust, London, UK; Institute of Ophthalmology, University College London, London UK
https://orcid.org/0000-0002-7690-6277
Robert Luben
Moorfields Eye Hospital NHS Foundation Trust, London, UK; Institute of Ophthalmology, University College London, London UK
https://orcid.org/0000-0002-5088-6343
Anthony P. Khawaja
Moorfields Eye Hospital NHS Foundation Trust, London, UK
https://orcid.org/0000-0001-6802-8585
Nikolas Pontikos
Moorfields Eye Hospital NHS Foundation Trust, London, UK; Institute of Ophthalmology, University College London, London UK
https://orcid.org/0000-0003-1782-4711
Pearse A. Keane
Moorfields Eye Hospital NHS Foundation Trust, London, UK; Institute of Ophthalmology, University College London, London UK
https://orcid.org/0000-0002-9239-745X
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Wong DC, Olivera M, Yu J, Szabo A, Moghul I, Balaskas K, Luben R, Khawaja AP, Pontikos N, Keane PA. Cloud-based genomics pipelines for ophthalmology: reviewed from research to clinical practice. MAIO [Internet]. 2021 Sep. 17 [cited 2024 Nov. 24];3(1):101-40. Available from: https://www.maio-journal.com/index.php/MAIO/article/view/115
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2021 David C.S. Wong, Maximiliano Olivera, Jing Yu, Anita Szabo, Ismail Moghul, Konstantinos Balaskas, Robert Luben, Anthony P. Khawaja, Nikolas Pontikos, Pearse A. Keane

Keywords

clinical genomics; cloud computing; hospital; ophthalmology; sequencing

Abstract

Aim: To familiarize clinicians with clinical genomics, and to describe the potential of cloud computing for enabling the future routine use of genomics in eye hospital settings.
Design: Review article exploring the potential for cloud-based genomic pipelines in eye hospitals.
Methods: Narrative review of the literature relevant to clinical genomics and cloud computing, using PubMed and Google Scholar. A broad overview of these fields is provided, followed by key examples of their integration.
Results: Cloud computing could benefit clinical genomics due to scalability of resources, potentially lower costs, and ease of data sharing between multiple institutions. Challenges include complex pricing of services, costs from mistakes or experimentation, data security, and privacy concerns.
Conclusions and future perspectives: Clinical genomics is likely to become more routinely used in clinical practice. Currently this is delivered in highly specialist centers. In the future, cloud computing could enable delivery of clinical genomics services in non-specialist hospital settings, in a fast, cost-effective way, whilst enhancing collaboration between clinical and research teams.

https://doi.org/10.35119/maio.v3i1.115
115 PDF

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