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SNPnexus COVID: Facilitating the analysis of COVID-19 host genetics

Jorge Oscanoa, Lavanya Sivapalan, Maryam Abdollahyan, View ORCID ProfileEmanuela Gadaleta, Claude Chelala
doi: https://doi.org/10.1101/2020.12.18.423439
Jorge Oscanoa
1 Barts Cancer Institute, Queen Mary University of London;
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Lavanya Sivapalan
1 Barts Cancer Institute, Queen Mary University of London;
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Maryam Abdollahyan
1 Barts Cancer Institute, Queen Mary University of London;
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Emanuela Gadaleta
1 Barts Cancer Institute, Queen Mary University of London;
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Claude Chelala
2 Barts Cancer Insitute, Queen Mary University of London
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  • For correspondence: c.chelala@qmul.ac.uk
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Abstract

The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has presented a crisis for global healthcare systems. Human SARS-CoV-2 infection can result in coronavirus disease 2019 (COVID-19), which has been characterised as an acute respiratory illness, with most patients displaying flu-like symptoms, such as a fever, cough and dyspnoea. However, the range and severity of individual symptoms experienced by patients can vary significantly, indicating a role for host genetics in impacting the susceptibility and severity of COVID-19 disease. Whilst most symptomatic infections are known to manifest in mild to moderate respiratory symptoms, severe pneumonia and complications including cytokine release syndrome, which can lead to multi-organ dysfunction, have also been observed in cases worldwide. Global initiatives to sequence the genomes of patients with COVID-19 have driven an expanding new field of host genomics research, to characterise the genetic determinants of COVID-19 disease. The functional annotation and analysis of incoming genomic data, within a clinically relevant turnaround time, is therefore imperative given the importance and urgency of research efforts to understand the biology of SARS-CoV-2 infection and disease. To address these requirements, we developed SNPnexus COVID. This is a web-based variant annotation tool, powered by the SNPnexus software.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://www.snp-nexus.org/v4/covid/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted December 21, 2020.
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SNPnexus COVID: Facilitating the analysis of COVID-19 host genetics
Jorge Oscanoa, Lavanya Sivapalan, Maryam Abdollahyan, Emanuela Gadaleta, Claude Chelala
bioRxiv 2020.12.18.423439; doi: https://doi.org/10.1101/2020.12.18.423439
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SNPnexus COVID: Facilitating the analysis of COVID-19 host genetics
Jorge Oscanoa, Lavanya Sivapalan, Maryam Abdollahyan, Emanuela Gadaleta, Claude Chelala
bioRxiv 2020.12.18.423439; doi: https://doi.org/10.1101/2020.12.18.423439

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