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Updated: Aug 3, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Strong association between angiotensin-converting enzyme gene InDel polymorphism and COVID-19 diseases
Havva Çobanogullari1, Emine Unal Evren2, Hakan Evren2
1Department of Molecular Medicine, Institute of Graduate Studies, Near East University, Nicosia, Cyprus; Department of Medical Genetics, Faculty of Medicine, Near East University, Nicosia, Cyprus.
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 ACE 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 ACE InDel gene polymorphism was performed by polymerase chain reaction.
Results:
The frequency of ACE DD homozygotes was significantly increased in COVID-19 patients compared to the control group (p=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, p<0.05). Individuals with the genotype II were found to have a higher risk of symptomatic COVID-19 (p=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 (p=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 (p=0.016 and p=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 ACE I/D polymorphism has the potential to predict the severity of COVID-19.
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