The UGT2A1/UGT2A2 locus is associated with COVID-19-related loss of smell or taste

  1. Janie F. Shelton
  2. Anjali J. Shastri
  3. Kipper Fletez-Brant
  4. The 23andMe COVID-19 Team
  5. Adam Auton
  6. Adrian Chubb
  7. Alison Fitch
  8. Alison Kung
  9. Amanda Altman
  10. Andy Kill
  11. Anjali J. Shastri
  12. Antony Symons
  13. Catherine Weldon
  14. Daniella Coker
  15. Janie F. Shelton
  16. Jason Tan
  17. Jeff Pollard
  18. Jey McCreight
  19. Jess Bielenberg
  20. John Matthews
  21. Johnny Lee
  22. Lindsey Tran
  23. Maya Lowe
  24. Monica Royce
  25. Nate Tang
  26. Pooja Gandhi
  27. Raffaello d’Amore
  28. Ruth Tennen
  29. Scott Dvorak
  30. Scott Hadly
  31. Stella Aslibekyan
  32. Sungmin Park
  33. Taylor Morrow
  34. Teresa Filshtein Sonmez
  35. Trung Le
  36. Yiwen Zheng
  37. Stella Aslibekyan
  38. Adam Auton

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Abstract

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  1. Version published to 10.1038/s41588-021-00986-w
  2. ScreenIT

    SciScore for 10.1101/2021.05.28.21257993: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Participants provided informed consent and participated in the research online, under a protocol approved by the external AAHRPP-accredited IRB, Ethical & Independent Review Services (E&I Review).
    Sex as a biological variableFor the non-pseudoautosomal region of the X chromosome, males and females were phased together in segments, treating the males as already phased; the pseudoautosomal regions were phased separately.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Participant genotype data were imputed using the Haplotype Reference Consortium (HRC) panel5, augmented by the Phase 3 1000 Genomes Project panel6 for variants not present in HRC.
    1000 Genomes Project
    suggested: (1000 Genomes Project and AWS, RRID:SCR_008801)

    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 10.1101/2021.05.28.21257993v1 on medRxiv