Role of Ecologic ACE I/D Polymorphism Data Towards Prediction of COVID-19 Epidemiology
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Abstract COVID-19 displays marked variability in the clinical course as well as regional epidemiology. Abnormalities in RAAS system especially stemming from genetic variability in ACE and ACE2 expression (including ACE I/D polymorphism) have been proposed to explain underlying pathogenesis and variability in SARS-CoV-2 infection. In a meta-regression data set of 30 countries, we found significant associations of ACE I/D ratio and COVID-19 prevalence, deaths and recovery rate but not when adjusted for possible confounders. This ecological study suggests potential of ACE I/D data as predictive biomarker COVID-19 risk and severity in a population specific manner, subject to validation in large genetic epidemiological and functional studies.