Evidence map›Paper›PMID 39521879›Full record

ArticleScientific reports2024

Unraveling the protective genetic architecture of COVID-19 in the Brazilian Amazon.

Maria Clara Barros, Jorge Estefano Santana de Souza, Daniel Henrique F Gomes, Catarina Torres Pinho, Caio S Silva, Cíntia Braga-da-Silva, Giovanna C Cavalcante, Leandro Magalhães, Jhully Azevedo-Pinheiro, Juarez Antônio Simões Quaresma and 10 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Maria Clara Barros *Laboratory of Human and Medical Genetics (LGHM) / Graduate Program Genetics and Molecular Biology (PPGBM), Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Jorge Estefano Santana de Souza *Graduate Program Bioinformatics, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil.
Daniel Henrique F GomesGraduate Program Bioinformatics, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil.
Catarina Torres PinhoLaboratory of Human and Medical Genetics (LGHM) / Graduate Program Genetics and Molecular Biology (PPGBM), Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Caio S SilvaLaboratory of Human and Medical Genetics (LGHM) / Graduate Program Genetics and Molecular Biology (PPGBM), Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Cíntia Braga-da-SilvaLaboratory of Human and Medical Genetics (LGHM) / Graduate Program Genetics and Molecular Biology (PPGBM), Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Giovanna C CavalcanteLaboratory of Human and Medical Genetics (LGHM) / Graduate Program Genetics and Molecular Biology (PPGBM), Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Leandro MagalhãesVale Technological Institute (ITV), Belém, 66055-090, PA, Brazil.
Jhully Azevedo-PinheiroLaboratory of Human and Medical Genetics (LGHM) / Graduate Program Genetics and Molecular Biology (PPGBM), Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Juarez Antônio Simões QuaresmaLaboratory of Infectious Disease, School of Medicine, Federal University of Pará (UFPA), Belém, 66075-110, PA, Brazil.
Luiz Fábio Magno FalcãoDepartment of Infectious Disease, School of Medicine, State University of Pará (UEPA), Belém, 66087-670, PA, Brazil.
Patrícia Fagundes CostaDermatology and Immunology Laboratory, Federal University of Pará (UFPA), Marituba, 67105-290, PA, Brazil.
Cláudio Guedes SalgadoDermatology and Immunology Laboratory, Federal University of Pará (UFPA), Marituba, 67105-290, PA, Brazil.
Thiago Xavier CarneiroMolecular Biology Laboratory, Ophir Loyola Hospital (HOL), Belém, 66063-240, PA, Brazil.
Rommel Rodrigues BurbanoMolecular Biology Laboratory, Ophir Loyola Hospital (HOL), Belém, 66063-240, PA, Brazil.
José Ricardo Dos Santos VieiraInstitute of Biological Sciences, Federal University of Pará (UFPA), Belém, 66075- 110, PA, Brazil.
Sidney SantosCenter of Oncology Research, Federal University of Pará (UFPA), Belém, 66073- 005, PA, Brazil.
Giordano Bruno Soares-SouzaVale Technological Institute (ITV), Belém, 66055-090, PA, Brazil. jwojwo@gmail.com.
Sandro José de SouzaGraduate Program Bioinformatics, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil. sandro@i2bio.org.
Ândrea Ribeiro-Dos-SantosCenter of Oncology Research, Federal University of Pará (UFPA), Belém, 66073- 005, PA, Brazil. akelyufpa@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite all the efforts acquired in four years of the COVID-19 pandemic, the path to a full understanding of the biological mechanisms involved in this disease remains complex. This is partly due to a combination of factors, including the inherent characteristics of the infection, socio-environmental elements, and the variations observed within both the viral and the human genomes. Thus, this study aimed to investigate the correlation between genetic host factors and the severity of COVID-19. We conducted whole exome sequencing (WES) of 124 patients, categorized into severe and non-severe groups. From the whole exome sequencing (WES) association analysis, four variants (rs1770731 in CRYBG1, rs7221209 in DNAH17, rs3826295 in DGKE, and rs7913626 in CFAP46) were identified as potentially linked to a protective effect against the clinical severity of COVID-19, which may explain the less severe impact of COVID-19 on the Northern Region. Our findings underscore the importance of carrying out more genomic studies in populations living in the Amazon, one of the most diverse from the point of view of the presence of rare and specific alleles. To our knowledge, this is the first WES study of admixed individuals from the Brazilian Amazon to investigate genomic variants associated with the clinical severity of COVID-19.

Indexed as

COVID-19Exome SequencingSARS-CoV-2AdultAgedAge FactorsBrazilComorbidityFemaleGenetic Association StudiesGenetic MarkersGenetics, PopulationHumansMaleMiddle AgedSeverity of Illness IndexGenetic MarkersAmazonClinical severityCOVID-19SARS-CoV-2WES

Identifiers

PMID39521879
PMCPMC11550431

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LicenceCC BY-NC-ND
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Registered trials

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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.