How much should we sequence? An analysis of the Swiss SARS-CoV-2 surveillance effort

Author:

Wegner Fanny1ORCID,Cabrera-Gil Blanca2,Tanguy Araud3,Beckmann Christiane4,Beerenwinkel Niko5,Bertelli Claire6ORCID,Carrara Matteo7,Cerutti Lorenzo8,Chen Chaoran5,Cordey Samuel9,Dumoulin Alexis10,du Plessis Louis5,Friedli Marc8,Gerth Yannick11,Greub Gilbert6ORCID,Härri Adrian12,Hirsch Hans13ORCID,Howald Cedric8,Huber Michael14,Imhof Alexander15,Kaiser Laurent9,Kufner Verena14,Leib Stephen L.16ORCID,Leuzinger Karoline13ORCID,Lleshi Etleva17,Martinetti Gladys18,Mäusezahl Mirjam19,Moraz Milo10,Neher Richard20ORCID,Nolte Oliver11,Ramette Alban16ORCID,Redondo Maurice4,Risch Lorenz21,Rohner Lionel19,Roloff Tim1,Schläepfer Pascal22,Schneider Katrin19,Singer Franziska7,Spina Valeria18,Stadler Tanja5,Studer Erik19,Topolsky Ivan5,Trkola Alexandra14,Walther Daniel2,Wohlwend Nadia21,Zehnder Cinzia17,Neves Aitana2,Egli Adrian1ORCID,

Affiliation:

1. Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland

2. Clinical Bioinformatics, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland

3. Genesupport, Geneva, Switzerland

4. Viollier AG, Allschwil, Switzerland

5. Department of Biosystems Science and Engineering, ETH Zurich, Switzerland & SIB Swiss Institute of Bioinformatics, Basel, Switzerland

6. Clinical Microbiology, University Hospital, Lausanne, Switzerland

7. NEXUS Personalized Health Technologies, ETH Zurich, Switzerland & SIB Swiss Institute of Bioinformatics, Basel, Switzerland

8. Health2030 Genome Center, Geneva, Switzerland

9. Laboratory of Virology, Geneva University Hospitals, Geneva, Switzerland

10. Valais Hospital, Central Institute, Sion, Switzerland

11. Humanmedizinische Mikrobiologie, Zentrum für Labormedizin, St. Gallen, Switzerland

12. Biolytix, Witterswil, Switzerland

13. Clinical Virology, University Hospital, Basel, Switzerland

14. Institute of Medical Virology, University of Zurich, Zurich, Switzerland

15. Spitalregion Oberaargau, Langenthal, Switzerland

16. Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland

17. Microbiology Department, Synlab, Bioggio, Switzerland

18. Department of Laboratory Medicine, Ente Ospedaliero Cantonale, Bellinzona, Switzerland

19. Federal Office of Public Health, Bern, Switzerland

20. Biozentrum, University of Basel, Switzerland & SIB Swiss Institute of Bioinformatics, Basel, Switzerland

21. Labor Dr. Risch, Buchs, Switzerland

22. Clinical Microbiology, University Hospital, Basel, Switzerland

Abstract

ABSTRACT During the SARS-CoV-2 pandemic, many countries directed substantial resources toward genomic surveillance to detect and track viral variants. There is a debate over how much sequencing effort is necessary in national surveillance programs for SARS-CoV-2 and future pandemic threats. We aimed to investigate the effect of reduced sequencing on surveillance outcomes in a large genomic data set from Switzerland, comprising more than 143k sequences. We employed a uniform downsampling strategy using 100 iterations each to investigate the effects of fewer available sequences on the surveillance outcomes: (i) first detection of variants of concern (VOCs), (ii) speed of introduction of VOCs, (iii) diversity of lineages, (iv) first cluster detection of VOCs, (v) density of active clusters, and (vi) geographic spread of clusters. The impact of downsampling on VOC detection is disparate for the three VOC lineages, but many outcomes including introduction and cluster detection could be recapitulated even with only 35% of the original sequencing effort. The effect on the observed speed of introduction and first detection of clusters was more sensitive to reduced sequencing effort for some VOCs, in particular Omicron and Delta, respectively. A genomic surveillance program needs a balance between societal benefits and costs. While the overall national dynamics of the pandemic could be recapitulated by a reduced sequencing effort, the effect is strongly lineage-dependent—something that is unknown at the time of sequencing—and comes at the cost of accuracy, in particular for tracking the emergence of potential VOCs. IMPORTANCE Switzerland had one of the most comprehensive genomic surveillance systems during the COVID-19 pandemic. Such programs need to strike a balance between societal benefits and program costs. Our study aims to answer the question: How would surveillance outcomes have changed had we sequenced less? We find that some outcomes but also certain viral lineages are more affected than others by sequencing less. However, sequencing to around a third of the original effort still captured many important outcomes for the variants of concern such as their first detection but affected more strongly other measures like the detection of first transmission clusters for some lineages. Our work highlights the importance of setting predefined targets for a national genomic surveillance program based on which sequencing effort should be determined. Additionally, the use of a centralized surveillance platform facilitates aggregating data on a national level for rapid public health responses as well as post-analyses.

Funder

Swiss National Science Foundation, National Research Program 72

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

swissuniversities openscience

SERI

Federal Office of Public Health

Gottfried und Julia Bangerter-Rhyner-Stiftung

Publisher

American Society for Microbiology

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