Evidence map›Paper›PMID 33347989›Full record

ArticleInternational journal of antimicrobial agents2021

Different mutations in SARS-CoV-2 associate with severe and mild outcome.

Ádám Nagy, Sándor Pongor, Balázs Győrffy

Open access · hybridAbstract read
In one paragraph

Article in International journal of antimicrobial agents, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
3.2field-weighted citation impact, top 5% of its field
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

106 citing papers in PubMed, 155 citations in OpenAlex.

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  15. Quasi-species prevalence and clinical impact of evolving SARS-CoV-2 lineages in European COVID-19 cohorts, January 2020 to February 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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  16. Review
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  18. Prediction models for COVID-19 disease outcomes.Emerging microbes & infections · 2024
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46 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Ádám NagyDepartment of Bioinformatics, Semmelweis University, Budapest, Hungary; TTK Momentum Cancer Biomarker Research Group, Budapest, Hungary.
Sándor PongorFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, Budapest, Hungary; TTK Momentum Cancer Biomarker Research Group, Budapest, Hungary. Electronic address: gyorffy.balazs@med.semmelweis-univ.hu.
Semmelweis University · HUPázmány Péter Catholic University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGenomic alterations in a viral genome can lead to either better or worse outcome and identifying these mutations is of utmost importance. Here, we correlated protein-level mutations in the SARS-CoV-2 virus to clinical outcome.

methodsMutations in viral sequences from the GISAID virus repository were evaluated by using "hCoV-19/Wuhan/WIV04/2019" as the reference. Patient outcomes were classified as mild disease, hospitalization and severe disease (death or documented treatment in an intensive-care unit). Chi-square test was applied to examine the association between each mutation and patient outcome. False discovery rate was computed to correct for multiple hypothesis testing and results passing FDR cutoff of 5% were accepted as significant.

resultsMutations were mapped to amino acid changes for 3,733 non-silent mutations. Mutations correlated to mild outcome were located in the ORF8, NSP6, ORF3a, NSP4, and in the nucleocapsid phosphoprotein N. Mutations associated with inferior outcome were located in the surface (S) glycoprotein, in the RNA dependent RNA polymerase, in ORF3a, NSP3, ORF6 and N. Mutations leading to severe outcome with low prevalence were found in the ORF3A and in NSP7 proteins. Four out of 22 of the most significant mutations mapped onto a 10 amino acid long phosphorylated stretch of N indicating that in spite of obvious sampling restrictions the approach can find functionally relevant sites in the viral genome.

conclusionsWe demonstrate that mutations in the viral genes may have a direct correlation to clinical outcome. Our results help to quickly identify SARS-CoV-2 infections harboring mutations related to severe outcome.

Indexed as

COVID-19 Drug TreatmentMutationCoronavirus Nucleocapsid ProteinsCOVID-19FemaleHospitalizationHumansMaleMutation RateSARS-CoV-2Viral Nonstructural ProteinsViral ProteinsViroporin ProteinsCoronavirus Nucleocapsid ProteinsORF1ab polyprotein, SARS-CoV-2ORF3a protein, SARS-CoV-2ORF8 protein, SARS-CoV-2Viral Nonstructural ProteinsViral ProteinsViroporin Proteinsdeathgenomehigh-riskmutationnext generation sequencingSARS-CoV-2

Identifiers

PMID33347989
PMCPMC7755579
OpenAlexW3114096059

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.