Evidence map›Paper›PMID 33933633›Full record

SynthesisInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2021

Genetic polymorphisms as multi-biomarkers in severe acute respiratory syndrome (SARS) by coronavirus infection: A systematic review of candidate gene association studies.

Ana Caroline Melo Dos Santos, Bárbara Rayssa Correia Dos Santos, Bruna Brandão Dos Santos, Edilson Leite de Moura, Jean Moisés Ferreira, Luana Karen Correia Dos Santos, Susana Paiva Oliveira, Renise Bastos Farias Dias, Aline Cristine Pereira E Silva, Karol Fireman de Farias and 1 more

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Systematic pan-cancer analysis identifiesAnnals of translational medicine · 2023
    Article
  5. Review
  6. Review
  7. Article
  8. Medicina (Kaunas, Lithuania) · 2022
    Review
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  10. Article
  11. Review
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

11 authors at 1 institution in 1 country.

Ana Caroline Melo Dos SantosLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Bárbara Rayssa Correia Dos SantosLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Bruna Brandão Dos SantosLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Edilson Leite de MouraLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Jean Moisés FerreiraLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Luana Karen Correia Dos SantosLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Susana Paiva OliveiraLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Renise Bastos Farias DiasLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.
Aline Cristine Pereira E SilvaLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Karol Fireman de FariasLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Elaine Virgínia Martins de Souza FigueiredoLaboratório de Biologia Molecular e Expressão Gênica, Postgraduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil; Instituto de Ciências Biológicas e da Saúde (ICBS), Federal University of Alagoas, Maceió, Alagoas, Brazil.. Electronic address: elaine.figueiredo@arapiraca.ufal.br.
Universidade Federal de Alagoas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Severe acute respiratory syndrome may be caused by coronavirus disease which has resulted in a global pandemic. Polymorphisms in the population play a role in susceptibility to severity. We aimed to perform a systematic review related to the effect of single nucleotide polymorphisms in the development of severe acute respiratory syndrome (SARS). Twenty-eight eligible articles published were identified in PubMed, ScienceDirect, Web of Science, PMC Central and Portal BVS and additional records, with 20 studies performed in China. Information on study characteristics, genetic polymorphisms, and comorbidities was extracted. Study quality was assessed by the STrengthening the REporting of Genetic Association (STREGA) guideline. Few studies investigated the presence of polymorphisms in HLA, ACE1, OAS-1, MxA, PKR, MBL, E-CR1, FcγRIIA, MBL2, L-SIGN (CLEC4M), IFNG, CD14, ICAM3, RANTES, IL-12 RB1, TNFA, CXCL10/IP-10, CD209 (DC-SIGN), AHSG, CYP4F3 and CCL2 with the susceptibility or protection to SARS-Cov. This review provides comprehensive evidence of the association between genetic polymorphisms and susceptibility or protection to severity SARS-CoV. The literature about coronavirus infection, susceptibility to severe acute respiratory syndrome (SARS) and genetic variations is scarce. Further studies are necessary to provide more concrete evidence, mainly related to Covid-19.

Indexed as

Polymorphism, GeneticChemokinesCOVID-19CytokinesFemaleGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseHLA AntigensHumansMaleMannose-Binding LectinChemokinesCytokinesGenetic MarkersHLA AntigensMannose-Binding LectinCoronavirusGenetic polymorphismSevere acute respiratory syndromeSusceptibility

Identifiers

PMID33933633
PMCPMC8084602
OpenAlexW3159729169

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.