Evidence map›Paper›PMID 39557769›Full record

ArticleBiochemical genetics2025

Identification of Novel Genomic Variants in COVID-19 Patients Using Whole-Exome Sequencing: Exploring the Plausible Targets of Functional Genomics.

Rashid Mir, Faisal H Altemani, Naseh A Algehainy, Mohammad A Alanazi, Imadeldin Elfaki, Badr A Alsayed, Mohammad Muzaffar Mir, Syed Khalid Mustafa, Mamdoh S Moawadh, Faris J Tayeb and 4 more

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In one paragraph

Article in Biochemical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Rashid MirDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia. rashid@ut.edu.sa.
Faisal H AltemaniDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Naseh A AlgehainyDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Mohammad A AlanaziDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Imadeldin ElfakiDepartment of Biochemistry, Faculty of Science, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Badr A AlsayedDepartment of Internal Medicine, Faculty of Medicine, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Mohammad Muzaffar MirDepartment of Clinical Biochemistry, College of Medicine, University of Bisha, 61922, Bisha, Saudi Arabia.
Syed Khalid MustafaDepartment of Chemistry, Faculty of Science, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Mamdoh S MoawadhDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Faris J TayebDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Jaber AlfaifiDepartment of Child Health, College of Medicine, University of Bisha, 61922, Bisha, Saudi Arabia.
Sael M AlatawiDepartment of Medical Laboratory Technology Faculty of Applied Medical Sciences, Prince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Mohammed Saad AlhiwetyNEOM Hospital, Sharma, Tabuk, Saudi Arabia.
Mohammad Fahad UllahDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, King Faisel Road, 7149, Tabuk, Saudi Arabia. m.ullah@ut.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid-19 caused by SARS-CoV-2 virus has emerged as an immense burden and an unparalleled global health challenge in recorded human history. The clinical characteristics and risk factors of COVID-19 exhibit considerable variability, leading to a spectrum of clinical severity. Moreover, the likelihood of exposure to the virus may differ based on comorbidity status as comorbid illnesses have mechanisms that can considerably increase mortality by reducing the body's ability to withstand injury. The mammalian target of rapamycin (mTOR) pathway is essential for orchestrating innate immune cell defense, including cytokine production and is dysregulated in severe Coronavirus Disease 2019 (COVID-19) individuals. Through genome-wide, association studies, numerous genetic variants in the human host have been identified that have a significant impact on the immune response to SARS-CoV-2. To identify potentially significant genetic variants in Covid-19 patients that could affect the risk, severity, and clinical outcome of the infection, this study has used whole-exome sequencing (WES) on the 16 COVID-19 patients with varying comorbidities and severity of the disease including fatal outcomes. Among them, 8 patients made a full recovery and were discharged, while 8 patients unfortunately did not survive due to the severity of the illness and majority of them were males. The study identified 10,204 variants in the patients. From 1120 variants, which were chosen for novel variant analysis using mutation, function prediction tools to identify deleterious variants that could affect normal gene function, 116 variants of 57 genes were found to be deleterious. These variants were further classified as likely pathogenic and variants of uncertain significance. The data showed that among the likely pathogenic variants five genes were identified in connection to immune response whereas two were related to respiratory system. The common variants associated with the covid-19 phenotype showed the top 10 significant genes identified in this study such as ERCC2, FBXO5, HTR3D, FAIM, DNAH17, MTOR, IGHMBP2, ZNF530, QSER1, and FOXRED2 with variant rs1057079 of the MTOR gene representing the highest odds ratio (1.7, p = 8.7e-04). The mammalian target of rapamycin (mTOR) pathway variant rs1057079 was reported with high odds ratio, may orchestrate innate immune cell defense, including cytokine production, and is dysregulated. This study concluded that the mTOR signaling gene variant (rs1057079) is associated with different degrees of covid-19 severity and is essential for orchestrating innate immune cell defense including cytokine production. Inhibiting mTOR and its corresponding deleterious immune responses with medicinal approaches may provide a novel avenue for treating severe COVID-19 illness. Besides the PPI network exhibited a significantly high local clustering coefficient of 0.424 (p = 0.000536), suggesting the presence of tightly knit functional modules. These findings enhance our comprehension of the intricate interactions between genetic factors and COVID-19 disease.

Indexed as

COVID-19Genetic VariationSARS-CoV-2AdultAgedExome SequencingFemaleGenomicsHumansMaleMiddle AgedTOR Serine-Threonine KinasesMTOR protein, humanTOR Serine-Threonine KinasesCovid-19Functional genomicsPathogenic variantsThe mechanistic target of rapamycin (mTOR)Whole-exome sequencing

Identifiers

PMID39557769

What Socratic 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 Socratic graph.