Variants of Concern Are Overrepresented Among Postvaccination Breakthrough Infections of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Washington State

  1. Abbye E McEwen
  2. Seth Cohen
  3. Chloe Bryson-Cahn
  4. Catherine Liu
  5. Steven A Pergam
  6. John Lynch
  7. Adrienne Schippers
  8. Kathy Strand
  9. Estella Whimbey
  10. Nandita S Mani
  11. Allison J Zelikoff
  12. Vanessa A Makarewicz
  13. Elizabeth R Brown
  14. Shah A Mohamed Bakhash
  15. Noah R Baker
  16. Jared Castor
  17. Robert J Livingston
  18. Meei-Li Huang
  19. Keith R Jerome
  20. Alexander L Greninger
  21. Pavitra Roychoudhury

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Abstract

Across 20 vaccine breakthrough cases detected at our institution, all 20 (100%) infections were due to variants of concern (VOCs) and had a median Ct of 20.2 (IQR, 17.1–23.3). When compared with 5174 contemporaneous samples sequenced in our laboratory, VOCs were significantly enriched among breakthrough infections (P < .05).

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  1. Version published to 10.1093/cid/ciab581
  2. ScreenIT

    SciScore for 10.1101/2021.05.23.21257679: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIRB: This work was approved by the University of Washington (UW) Institutional Review Board.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Sequencing was attempted on all specimens with Ct < 36 using a multiplexed amplicon sequencing panel from Swift Biosciences [6] or Illumina COVIDSeq (Illumina Inc, USA).
    Swift Biosciences
    suggested: None

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.05.23.21257679v1 on medRxiv