Cloud-based genomics pipelines for ophthalmology: reviewed from research to clinical practice
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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 2021 Oct. 24];3(1):101-40. Available from:

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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


clinical genomics; cloud computing; hospital; ophthalmology; sequencing


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.
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