Evidence map›Paper›PMID 39752416›Full record

ArticlePloS one2025

Potential associations of selected polymorphic genetic variants with COVID-19 disease susceptibility and severity.

Orsolya Mózner, Edit Szabó, Anna Kulin, György Várady, Judit Moldvay, Vivien Vass, Andrea Szentesi, Ágoston Jánosi, Péter Hegyi, Balázs Sarkadi

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

10 authors.

Orsolya MóznerInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
Edit SzabóInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
Anna KulinInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
György VáradyInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.ORCID 0000-0003-2012-9680
Judit Moldvay1st Department of Pulmonology, National Korányi Institute of Pulmonology.
Vivien VassInstitute for Translational Medicine, University of Pécs, Medical School, Pécs, Hungary.
Andrea SzentesiInstitute for Translational Medicine, University of Pécs, Medical School, Pécs, Hungary.
Ágoston JánosiInstitute for Translational Medicine, University of Pécs, Medical School, Pécs, Hungary.ORCID 0000-0001-7445-6463
Péter HegyiInstitute for Translational Medicine, University of Pécs, Medical School, Pécs, Hungary.
Balázs SarkadiInstitute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we analyzed the potential associations of selected laboratory and anamnestic parameters, as well as 12 genetic polymorphisms (SNPs), with clinical COVID-19 occurrence and severity in 869 hospitalized patients. The SNPs analyzed by qPCR were selected based on population-wide genetic (GWAS) data previously indicating association with the severity of COVID-19, and additional SNPs that have been shown to be important in cellular processes were also examined. We confirmed the associations of COVID-19 with pre-existing diabetes and found an unexpected association between less severe disease and the loss of smell and taste. Regarding the genetic polymorphisms, a higher allele frequency of the LZTFL1 and IFNAR2 minor variants significantly correlated with greater COVID-19 disease susceptibility (hospitalization) and severity, and a similar tendency was observed for the RAVER1 and the MUC5B variants. Interestingly, the ATP2B4 minor haplotype, protecting against malaria, correlated with an increased disease susceptibility, while in diabetic patients disease susceptibility was lower in the presence of a reduced-function ABCG2 transporter variant. Our current results, which should be reinforced by larger studies, indicate that together with laboratory and anamnestic parameters, genetic polymorphisms may have predictive value for the clinical occurrence and severity of COVID-19.

Indexed as

COVID-19Genetic Predisposition to DiseasePolymorphism, Single NucleotideSARS-CoV-2Severity of Illness IndexAdultAgedFemaleGene FrequencyHumansMaleMiddle Aged

Identifiers

PMID39752416
PMCPMC11698323

What Socratic holds

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LicenceCC BY
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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 Socratic graph.