Association of the ACE and AGT gene polymorphisms with global disparities in COVID-19-related deaths.

IF 1.7 3区医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Pharmacogenetics and genomics Pub Date : 2023-04-01 DOI:10.1097/FPC.0000000000000492

Yolande B Saab, Zahi S Nakad, Stephanie J Mehanna

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引用次数: 0

Abstract

Objective: The aim of the study was to investigate the gene polymorphisms of angiotensin-converting enzyme (ACE), angiotensinogen (AGT), and angiotensin type 1 receptor (AT1R) in association with coronavirus disease 2019 (COVID-19) mortality rates worldwide.

Methods: The prevalence of ACE I/D, AGT M235T, and AT1R A1166C alleles' frequencies in different populations was assessed. Data on COVID-19-related cases and deaths were acquired from the European Center for Disease Prevention and Control, which included weekly reports by country and continent. An Excel tool was developed to visualize the acquired data of mortality and incidence by classifying them by continent/country across specific periods of time. Spearman's nonparametric correlation was used to evaluate the association between country-based frequencies in RAS gene polymorphisms and COVID-19-related deaths.

Results: While China constituted the initial reservoir of COVID-19, incidence/mortality rates in Europe and America outnumbered the figures in the former. A clear association was identified between death rates and ACE D/I ( r = 0.3659; P = 0.033), as well as AGT A/G variants ( r = 0.7576; P = 0.015). Data on AT1R polymorphisms suggested no correlation with mortality rates.

Conclusion: Our results demonstrated a significant disparity in COVID-19-related susceptibility and mortality among different populations and corroborate the importance of gene polymorphisms in predicting and consequently improving patients' outcomes.

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ACE和AGT基因多态性与covid -19相关死亡的全球差异的关系

目的:研究血管紧张素转换酶(ACE)、血管紧张素原(AGT)和血管紧张素1型受体(AT1R)基因多态性与全球冠状病毒病2019 (COVID-19)死亡率的关系。方法:分析不同人群ACE I/D、AGT M235T、AT1R A1166C等位基因频率的流行情况。有关covid -19相关病例和死亡的数据来自欧洲疾病预防控制中心，其中包括按国家和大陆分列的每周报告。开发了一个Excel工具，通过按大陆/国家在特定时期对所获得的死亡率和发病率数据进行分类，使其可视化。使用Spearman非参数相关性来评估基于国家的RAS基因多态性频率与covid -19相关死亡之间的关系。结果:虽然中国是COVID-19的初始库，但欧洲和美国的发病率/死亡率超过了前者。死亡率与ACE D/I之间存在明显关联(r = 0.3659;P = 0.033)，以及AGT A/G变异(r = 0.7576;P = 0.015)。AT1R多态性数据显示与死亡率无相关性。结论:不同人群在covid -19相关易感性和死亡率方面存在显著差异，证实了基因多态性在预测和改善患者预后方面的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Pharmacogenetics and genomics 医学-生物工程与应用微生物

CiteScore

3.20

自引率

3.80%

发文量

审稿时长

3 months

期刊介绍： Pharmacogenetics and Genomics is devoted to the rapid publication of research papers, brief review articles and short communications on genetic determinants in response to drugs and other chemicals in humans and animals. The Journal brings together papers from the entire spectrum of biomedical research and science, including biochemistry, bioinformatics, clinical pharmacology, clinical pharmacy, epidemiology, genetics, genomics, molecular biology, pharmacology, pharmaceutical sciences, and toxicology. Under a single cover, the Journal provides a forum for all aspects of the genetics and genomics of host response to exogenous chemicals: from the gene to the clinic.