The Role of Host Genetic Factors in Coronavirus Susceptibility: Review of Animal and Systematic Review of Human Literature

  1. Marissa LoPresti
  2. David B. Beck
  3. Priya Duggal
  4. Derek A.T. Cummings
  5. Benjamin D. Solomon

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Abstract

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  1. Version published to 10.1016/j.ajhg.2020.08.007
  2. ScreenIT

    SciScore for 10.1101/2020.05.30.20117788: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    We did not include articles only available on non-peer reviewed preprint servers, though recognize that a substantial number of these manuscripts will be on PubMed soon.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)

    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: We detected the following sentences addressing limitations in the study:
    The sample sizes may also have precluded significant findings due to limitations of statistical power and the ability to replicate or validate findings. As previous human studies occurred in areas of the world affected by the coronavirus studied, it is possible that results from these studies would not extrapolate to other populations. Finally, different genes and loci are involved than those previously hypothesized. That is, hypothesis-free approaches may identify significant loci that were not identified by candidate approaches. Based on announcements about multiple large-scale projects on host genetic factors and SARS-CoV-2, as well as the existence of larger genomic datasets that can be mined quickly and new methods that can be used to address biological questions,197 it is anticipated that considerable efforts - and an unfortunately large pool of research subjects - and may yield significant new results quickly. Limitations: There are multiple limitations to our summaries and analyses. First, it is likely that relevant articles were missed by our search process, and that key findings - including the study of certain genes - were therefore omitted. Along these lines, important findings within identified articles may also have been missed. Second, this analysis focused on DNA-based variants. These DNA-based genetic changes include those studied and identified through association studies as well as genes that were manipulated in experimental approaches, such as via knockout...

    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.

    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 10.1101/2020.05.30.20117788v1 on medRxiv