Strong Association Between Angiotensin-converting Enzyme Gene InDel Polymorphism and COVID-19 Diseases

Overview

Journal Med Clin (Engl Ed)

Date 2023 Jun 13

PMID 37309467

Authors

Havva Cobanogullari

Emine Unal Evren

Hakan Evren

Kaya Suer

Ozlem Balcioglu

Mahmut Cerkez Ergoren

Affiliations

Soon will be listed here.

Abstract

Background And Objectives: The COVID-19 pandemic that emerged in China in late 2019 and spread rapidly around the world. There is evidence that COVID-19 infection can be influenced by genetic variations in the host. The aim of this study was to investigate the association between InDel polymorphism and COVID-19 in Northern Cyprus.

Patients And Methods: This study included 250 patients diagnosed with COVID-19 and 371 healthy controls. Genotyping for the InDel gene polymorphism was performed by polymerase chain reaction.

Results: The frequency of DD homozygotes was significantly increased in COVID-19 patients compared to the control group ( = 0.022). The difference in the presence of the D allele between the patient and control groups was statistically significant (57.2% and 50.67%, respectively, < 0.05). Individuals with the genotype II were found to have a higher risk of symptomatic COVID-19 ( = 0.011). In addition, chest radiographic findings were observed more frequently in individuals with the genotype DD compared to individuals with the genotypes ID and II ( = 0.005). A statistically significant difference was found when the time of onset of symptoms for COVID-19 and duration of treatment were compared with participants' genotypes ( = 0.016 and = 0.014, respectively). The time of onset of COVID-19 was shorter in individuals with the genotype DD than in individuals with the genotype II, while the duration of treatment was longer.

Conclusion: In conclusion, the I/D polymorphism has the potential to predict the severity of COVID-19.

Citing Articles

The Effect of Angiotensin-Converting Enzyme Insertion/Deletion Polymorphism on the Severity and Death Rate of COVID-19 in Iranian Patients.

Samet M, Yazdi M, Tajamolian M, Beygi M, Sheikhha M, Hoseini S Biochem Genet. 2023; 62(5):3568-3585.

PMID: 38145438 DOI: 10.1007/s10528-023-10614-3.

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