The aim of the study presented by Dr Ana Hernandez Cordero (Centre for Heart Lung Innovation, University of British Columbia, Canada) was to use integrative genomics to combine gene expression and proteomic information with COVID-19 susceptibility [1]. Genomic research identifies specific genes that may play a role in biological processes such as the development of disease, while proteomics does the same for proteins. The combination of both approaches allows researchers to get a fuller picture of disease processes. “Genetic associations alone cannot pinpoint the exact gene responsible for COVID-19,” said Dr Hernandez. “However, by combining COVID-19 genetic information with gene expression and proteomic datasets, we can figure out which genes are driving the relationship with COVID-19.”
The COVID-19 Host Genetics Initiative has been founded to identify genetic determinants of COVID-19 susceptibility and severity and share the results from such activities [2]. The researchers combined genetic information with an examination of lung gene expression to identify genetic variants which control gene expression in the lung that were responsible for COVID-19. They identified specific gene markers that share their effects on gene expression and protein levels with COVID-19 susceptibility. For the analysis, the following bioinformatics were integrated:
- a genomic dataset obtained from patients who were infected with SARS-CoV-2 as well as non-infected individuals (controls);
- lung and blood tissue gene expression datasets from clinical populations (non- COVID-19); and
- a proteome dataset obtained from blood donors (non-COVID-19).
With this method, it was found that several genes responsible for the immune system’s response to COVID-19 are also involved in COVID-19 susceptibility. These findings were in line with previous research.
By exploring candidate genes in blood proteins, the effects of genes could be connected to susceptibility to COVID-19. Blood proteomics can also identify markers in the blood that can be easily measured to indicate disease status and, potentially, monitor the disease. “By harnessing the power of genomic information, we identified genes that are related to COVID-19,” said Dr Hernandez. Increased levels of ABO in plasma were associated with an increased risk of COVID-19, whereas the blood group O appeared protective against COVID-19.
In addition to the ABO gene, people carrying certain genetic variants for SLC6A20, ERMP1, FCER1G, and CA11 had a significantly higher risk of contracting COVID-19. “These individuals should use extreme caution during the pandemic. These genes may also prove to be good markers for disease as well as potential drug targets,” Dr Hernandez concluded.
Several of the genes identified in this analysis have already been linked with respiratory diseases. For example, ERMP1 has been associated with asthma and CA11 may also elevate COVID-19 risk for people with diabetes.
- AI Hernandez Cordero. Integrative genomic analysis highlights potential genetic risk factors for Covid-19. TP91: Lung infection (Non-mycobacterial, i.e., bacterial, viral, fungal, HIV, etc). ATS 2021 International conference, 14-19 May 2021.
Copyright ©2021 Medicom Medical Publishers
Posted on
Previous Article
« Letter from the Editor Next Article
Healthcare workers vulnerable to SARS-CoV-2 infections »
« Letter from the Editor Next Article
Healthcare workers vulnerable to SARS-CoV-2 infections »
Table of Contents: ATS 2021
Featured articles
Letter from the Editor
COVID-19: What Pulmonologists Need to Know
Antibody treatment for COVID-19: a combination is successful
Air pollution: an underestimated negative prognostic factor for COVID-19
Healthcare workers vulnerable to SARS-CoV-2 infections
Genetic risk variants responsible for COVID-19 predisposition
Asthma – An Update
“As-needed” inhaled corticosteroid therapy for mild asthma – what is the evidence?
IL-4/13 blocker successful in treatment of paediatric moderate-to-severe asthma
Benralizumab lives up to its phase 3 results in real-world findings
Tezepelumab – good success rates in various types of severe asthma
Sleep Disorders – An Underestimated Problem
OSA: A risk factor for earlier cognitive decline
Subgroup of patients with high heart rate response and coronary artery disease benefit from CPAP
Association between positive airway pressure treatment adherence and COVID-19 infection rates
COPD – What Is New
Possible aetiologies for COPD exacerbations – more evidence is needed
Does COPD plus COVID-19 equal higher mortality?
Biomarkers for acute exacerbations in COPD are required
Severe exacerbations: A key driver of all-cause mortality in COPD patients
Men and women with COPD differ in many ways
Younger adults with COPD at higher health risk than previously thought
Metabolic Dysregulation and Lung Disease
Obesity: A risk factor for new-onset asthma and worse asthma control
Metabolic dysfunction and lung disease: children are no small adults
Best of the Posters
Air pollution in winter linked to more hospital admissions in ILD patients
Tobacco biomarkers do not improve prediction of lung cancer risk
Vaping identified as risk factor for asthma
Related Articles
November 28, 2019
Antifibrotic therapy slows disease progression in ILD
November 7, 2018
IPF introduction and Pentraxin-2
June 9, 2022
ATS 2022 Highlights Podcast
© 2024 Medicom Medical Publishers. All rights reserved. Terms and Conditions | Privacy Policy
HEAD OFFICE
Laarderhoogtweg 25
1101 EB Amsterdam
The Netherlands
T: +31 85 4012 560
E: publishers@medicom-publishers.com