Evidence map›Paper›PMID 33512495›Full record

ArticleGenome biology and evolution2021

Rapid Spread of Mutant Alleles in Worldwide SARS-CoV-2 Strains Revealed by Genome-Wide Single Nucleotide Polymorphism and Variation Analysis.

Zhenglin Zhu, Gexin Liu, Kaiwen Meng, Liuqing Yang, Di Liu, Geng Meng

Abstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. SARS-CoV-2 and reproductive system: a scientometric study.Frontiers in reproductive health · 2026
    Article
  3. Article
  4. Article
  5. COVID-19 Vaccines: Computational tools and Development.Informatics in medicine unlocked · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. SARS-COV-2 Variants: Differences and Potential of Immune Evasion.Frontiers in cellular and infection microbiology · 2021
    Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhenglin ZhuSchool of Life Sciences, Chongqing University, Chongqing, China.
Gexin LiuSchool of Life Sciences, Chongqing University, Chongqing, China.
Kaiwen MengCollege of Veterinary Medicine, China Agricultural University, Beijing, China.
Liuqing YangChongqing Occupational Disease Prevention Hospital, Chongqing, China.
Di LiuCAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for 25 Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
Geng MengCollege of Veterinary Medicine, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus (SARS-CoV-2) has become a pandemic and is threatening human health globally. Here, we report nine newly evolved SARS-CoV-2 single nucleotide polymorphism (SNP) alleles those underwent a rapid increase (seven cases) or decrease (two cases) in their frequency for 30-80% in the initial four months, which are further confirmed by intrahost single nucleotide variation analysis using raw sequence data including 8,217 samples. The nine SNPs are mostly (8/9) located in the coding region and are mainly (6/9) nonsynonymous substitutions. The nine SNPs show a complete linkage in SNP pairs and belong to three different linkage groups, named LG_1 to LG_3. Analyses in population genetics show signatures of adaptive selection toward the mutants in LG_1, but no signal of selection for LG_2. Population genetic analysis results on LG_3 show geological differentiation. Analyses on geographic COVID-19 cases and published clinical data provide evidence that the mutants in LG_1 and LG_3 benefit virus replication and those in LG_1 have a positive correlation with the disease severity in COVID-19-infected patients. The mutants in LG_2 show a bias toward mildness of the disease based on available public clinical data. Our findings may be instructive for epidemiological surveys and disease control of COVID-19 in the future.

Indexed as

AllelesMutationPolymorphism, Single NucleotideCOVID-19Gene FrequencyGenes, ViralHumansLinkage DisequilibriumSARS-CoV-2COVID-19iSNVmutantsSARS-CoV-2SNP

Identifiers

PMID33512495
PMCPMC7883668

What OpenQuestion holds

Textmetadata
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.