Evidence map›Paper›PMID 36959416›Full record

ArticleArchives of virology2023

TYK2 single-nucleotide variants associated with the severity of COVID-19 disease.

Fateme Zabihi Rizi, Atousa Ghorbani, Parnia Zahtab, Niloufar Naderi Darbaghshahi, Nioosha Ataee, Pardis Pourhamzeh, Behnaz Hamzei, Nasrin Fatahi Dolatabadi, Atefeh Zamani, Masoud Hooshmand

Open access · bronzeAbstract read
In one paragraph

Article in Archives of virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Modulation ofFrontiers in immunology · 2025
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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

10 authors at 5 institutions in 1 country.

Fateme Zabihi RiziDepartment of Biology, East Tehran Branch, Islamic Azad University, Tehran, Iran.
Atousa GhorbaniDepartment of Biology, East Tehran Branch, Islamic Azad University, Tehran, Iran.
Parnia ZahtabDepartment of Biological Sciences and Technology, Faculty of Materials Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Niloufar Naderi DarbaghshahiDepartment of Genetics, Faculty of Biological Sciences and Technology, Shahid Ashrafi Esfahani University, Esfahan, Iran.
Nioosha AtaeeDepartment of Genetics, Faculty of Biological Sciences and Technology, Shahid Ashrafi Esfahani University, Esfahan, Iran.
Pardis PourhamzehDepartment of Biotechnology, Kashan University, Kashan, Iran.
Behnaz HamzeiGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Nasrin Fatahi DolatabadiGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran. na71fattahi@gmail.com.ORCID http://orcid.org/0000-0003-4705-6223
Atefeh ZamaniGene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
Masoud HooshmandDepartment of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran. massoudh@nigeb.ac.ir.
Islamic Azad University South Tehran Branch · IRIslamic Azad University of Najafabad · IRNational Institute of Genetic Engineering and Biotechnology · IRShahrekord University · IRUniversity of Kashan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a lethal disease caused by the coronavirus SARS-CoV-2, which can result in a broad clinical spectrum of respiratory symptoms. While many clinical risk factors such as concomitant chronic diseases play roles in the pathophysiology of COVID-19, genetic predisposition factors have not been widely studied. The aim of this study was, therefore, to evaluate the relationship between some singlenucleotide polymorphisms (SNPs) of the human genes TYK2 and ACE2 and the severity of SARS-CoV-2 infection. Genomic DNA was isolated from 200 SARS-CoV-2-infected individuals with severe (n = 100) or mild (n = 100) disease. Owing to the importance of ACE2 and TYK2 genes in regulating the immune response to SARS-CoV-2 infection, TYK2 gene SNPs, i.e. rs2304255, rs2304256, rs12720270, and rs12720354 and ACE2 rs382746 variants, were genotyped in the samples. To confirm the results, the expression of different TYK2 genotypes was investigated using real-time PCR. The presence of the nucleotide T at the locus rs2304255 was shown to be a risk factor linked to disease severity (OR [95% CI] = 3.2485 [2.1554-4.8961]). Similarly, the presence of A at the locus rs12720354 increased the risk of severity (OR [95% CI]) = 3.9721 [2.6075-6.0509]). In contrast, the presence of A at the loci rs2304256 and rs12720270 was observed to reduce the severity risk (OR [95% CI] = 0.2495 [0.1642-0.3793] and 0.1668 [0.1083-0.2569], respectively). Real-time PCR results also demonstrated that the expression level of TYK2 in samples with the TT genotype of rs2304255 and the AA genotype of rs12720354 and in samples with the GG genotype of rs12720207 was significantly lower than in those with other genotypes. The results of this study suggest that TYK2 SNPs might be utilized to identify individuals who are at risk for severe COVID-19, in order to better manage their health care. It is predicted that the presence of some alleles (T in rs2304255, A in rs12720354, and G in rs12720207) of TYK2 can affect COVID-19 severity by reducing TYK2 expression and thereby affecting the regulatory role of TYK2 in the immune response.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19Genetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideSARS-CoV-2TYK2 KinaseAngiotensin-Converting Enzyme 2TYK2 KinaseTYK2 protein, humanACE2COVID-19GenotypingPredispositionSNPTYK2

Identifiers

PMID36959416
PMCPMC10035968
OpenAlexW4360605276

What OpenQuestion holds

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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.