Evidence map›Paper›PMID 32992592›Full record

ArticleViruses2020

Host Immune Response Driving SARS-CoV-2 Evolution.

Rui Wang, Yuta Hozumi, Yong-Hui Zheng, Changchuan Yin, Guo-Wei Wei

Abstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. The Mutational Landscape of SARS-CoV-2.International journal of molecular sciences · 2023
    Article
  9. APOBECs: Our fickle friends?PLoS pathogens · 2023
    Article
  10. Review
  11. Emerging Dominant SARS-CoV-2 Variants.Journal of chemical information and modeling · 2023
    Article
  12. Mutations in SARS-CoV-2: Insights on structure, variants, vaccines, and biomedical interventions.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. (Epi)transcriptomics in cardiovascular and neurological complications of COVID-19.Journal of molecular and cellular cardiology plus · 2022
    Review
  19. Phylogenetic and amino acid signature analysis of the SARS-CoV-2s lineages circulating in Tunisia.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rui WangDepartment of Mathematics, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-7402-6372
Yuta HozumiDepartment of Mathematics, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0003-4674-2379
Yong-Hui ZhengDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-1098-7385
Changchuan YinDepartment of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA.ORCID 0000-0002-4147-4195
Guo-Wei WeiDepartment of Mathematics, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-8132-5998

Funding

NIH HHS AI145504NIH HHS GM126189
6 · The paper itself

Abstract

The transmission and evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are of paramount importance in controlling and combating the coronavirus disease 2019 (COVID-19) pandemic. Currently, over 15,000 SARS-CoV-2 single mutations have been recorded, which have a great impact on the development of diagnostics, vaccines, antibody therapies, and drugs. However, little is known about SARS-CoV-2's evolutionary characteristics and general trend. In this work, we present a comprehensive genotyping analysis of existing SARS-CoV-2 mutations. We reveal that host immune response via APOBEC and ADAR gene editing gives rise to near 65% of recorded mutations. Additionally, we show that children under age five and the elderly may be at high risk from COVID-19 because of their overreaction to the viral infection. Moreover, we uncover that populations of Oceania and Africa react significantly more intensively to SARS-CoV-2 infection than those of Europe and Asia, which may explain why African Americans were shown to be at increased risk of dying from COVID-19, in addition to their high risk of COVID-19 infection caused by systemic health and social inequities. Finally, our study indicates that for two viral genome sequences of the same origin, their evolution order may be determined from the ratio of mutation type, C > T over T > C.

Indexed as

Evolution, MolecularBetacoronavirusCoronavirus InfectionsCOVID-19FemaleGene EditingGenome, ViralGenotypeHost-Pathogen InteractionsHumansMaleMutationPandemicsPneumonia, ViralPolymorphism, Single NucleotideSARS-CoV-2Viral ProteinsADARAPOBECCOVID-19gene editingSARS-CoV-2

Identifiers

PMID32992592
PMCPMC7599751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.