Whole-Exome Sequencing Reveals Rare Genetic Variants in Saudi COVID-19 Patients with Extreme Phenotypes

The global impact of COVID-19 was staggering, with millions of cases and related mortality reported worldwide. Genetic variations play a significant role in determining an individual's susceptibility to SARS-CoV-2 infection and progress to severe disease. This pilot study provides an experimental approach using WES to identify certain rare and novel genetic variants that might affect an individual's susceptibility to the risk of SARS-CoV-2 infection, offering an initial exploration of these genetic variants. In the study cohort with 16 patients, the mortality rate was higher in male patients due to severe disease. There was a substantial burden of comorbidity, including hypertension, ischemic heart disease, and T2DM, conditions which independently increase the risk of adverse outcomes in COVID-19 patients. A total of 4478 variants were identified, distributed across 322 genes within the cohort. The majority of these variants were missense substitutions along with frameshift variants, inframe insertions/deletions (indels), and nonsense variants. The variants were further categorized by types to include single-nucleotide polymorphisms (SNPs), deletions (DEL), and insertions (INS). The gene with the highest number of variants was <i>HLA-DRB1</i>, followed by <i>HLA-B</i>, <i>ABO</i>, <i>HPS4</i>, and <i>SP110</i> displaying both common polymorphisms and rare variants. Moreover, the <i>HLA-B</i> gene exhibited the highest number of rare candidate variants, followed by <i>AK2</i>, <i>IRF7</i>, <i>KMT2D</i>, <i>TAP1</i>, and <i>HLA-DRB1</i>. Several genes harbored multiple novel variants, including <i>TAP1</i>, <i>AK2</i>, <i>G6PC3</i>, <i>HLA-B</i>, <i>IL12RB2</i>, and <i>ITGB2</i>. The frequencies of the identified variants were found to be either zero or extremely low (below 1% threshold) in the Middle Eastern or in the overall combined population, suggesting that these are indeed rare and do not represent common indigenous polymorphisms. Functional enrichment analysis of the constructed protein-protein interaction network in our preliminary findings revealed that the identified genes are primarily enriched in pathways associated with immune deficiency and DNA repair. This initial exploration of genetic variants in COVID-19 susceptibility provides a foundation for future large-scale studies.

Authors

Institutions

Publication Details

Journal
Viruses
Published
2025-08-30
DOI
https://doi.org/10.3390/v17091198
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole-Exome Sequencing Reveals Rare Genetic Variants in Saudi COVID-19 Patients with Extreme Phenotypes

Badr Alsayed, Jaber Alfaifi, Mohammad Fahad Ullah, Naseh A. Algehainy et al.
2 links
Viruses
SARS-CoV-2 and COVID-19 Research
article

Whole-Exome Sequencing Reveals Rare Genetic Variants in Saudi COVID-19 Patients with Extreme Phenotypes

Badr Alsayed, Jaber Alfaifi, Mohammad Fahad Ullah, Naseh A. Algehainy, Faisal H. Altemani, Mamdoh S. Moawadh, Jameel Barnawi, Imadeldin Elfaki, Syed Khalid Mustafa, Faris J. Tayeb, Salma Saleh Alrdahe, Rashid Mir, Mohammad Alanazi, Rashid Mir
article en

Abstract

The global impact of COVID-19 was staggering, with millions of cases and related mortality reported worldwide. Genetic variations play a significant role in determining an individual's susceptibility to SARS-CoV-2 infection and progress to severe disease. This pilot study provides an experimental approach using WES to identify certain rare and novel genetic variants that might affect an individual's susceptibility to the risk of SARS-CoV-2 infection, offering an initial exploration of these genetic variants. In the study cohort with 16 patients, the mortality rate was higher in male patients due to severe disease. There was a substantial burden of comorbidity, including hypertension, ischemic heart disease, and T2DM, conditions which independently increase the risk of adverse outcomes in COVID-19 patients. A total of 4478 variants were identified, distributed across 322 genes within the cohort. The majority of these variants were missense substitutions along with frameshift variants, inframe insertions/deletions (indels), and nonsense variants. The variants were further categorized by types to include single-nucleotide polymorphisms (SNPs), deletions (DEL), and insertions (INS). The gene with the highest number of variants was <i>HLA-DRB1</i>, followed by <i>HLA-B</i>, <i>ABO</i>, <i>HPS4</i>, and <i>SP110</i> displaying both common polymorphisms and rare variants. Moreover, the <i>HLA-B</i> gene exhibited the highest number of rare candidate variants, followed by <i>AK2</i>, <i>IRF7</i>, <i>KMT2D</i>, <i>TAP1</i>, and <i>HLA-DRB1</i>. Several genes harbored multiple novel variants, including <i>TAP1</i>, <i>AK2</i>, <i>G6PC3</i>, <i>HLA-B</i>, <i>IL12RB2</i>, and <i>ITGB2</i>. The frequencies of the identified variants were found to be either zero or extremely low (below 1% threshold) in the Middle Eastern or in the overall combined population, suggesting that these are indeed rare and do not represent common indigenous polymorphisms. Functional enrichment analysis of the constructed protein-protein interaction network in our preliminary findings revealed that the identified genes are primarily enriched in pathways associated with immune deficiency and DNA repair. This initial exploration of genetic variants in COVID-19 susceptibility provides a foundation for future large-scale studies.

VirusesVol. 17(9)
Fahd bin Sultan University (SA), University of Bisha (SA), University of Tabuk (SA)
Openalex Percentile: Top 72%
SARS-CoV-2 and COVID-19 Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.