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      Ethnic and age-specific acute lung injury/acute respiratory distress syndrome risk associated with angiotensin-converting enzyme insertion/deletion polymorphisms, implications for COVID-19: A meta-analysis

      research-article
      a , * , a , b , e , c , d
      Infection, Genetics and Evolution
      Published by Elsevier B.V.
      ACE, I/D polymorphism, ALI/ARDS, Meta-analysis, ACE, angiotensin converting enzyme gene, ACE, angiotensin converting enzyme protein, ALI, acute lung injury, ARDS, acute respiratory distress syndrome, ASP, aggregate statistical power, CI, confidence interval, COVID-19, Corona virus-19 disease, DD, common homozygous genotype, F, female, HWE, Hardy Weinberg Equilibrium, I2, measure of variability, I/D, insertion/deletion polymorphism, ID, heterozygous genotype, II, variant homozygous genotype, M, male, n, number of studies, OR, odds ratio, Pa, P-value for association, Phet, P-value for heterogeneity

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          Abstract

          Background

          The reported association between an insertion/deletion (I/D) polymorphism in the angiotensin-converting enzyme ( ACE) gene and the risk for acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) remains controversial despite the publication of four meta-analyses on this topic. Here, we updated the meta-analysis with more studies and additional assessments that include adults and children within the context of the coronavirus disease 2019 (COVID-19) pandemic.

          Methods

          Sixteen articles (22 studies) were included. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using three genetic models (allele, recessive and dominant), in which ARDS patients were compared with non-ARDS patients (A1) and healthy controls (A2). Mortality outcomes were also assessed (A3). The influence of covariates was examined by meta-regression. Bonferroni correction was performed for multiple pooled associations. Subgroup analyses based on ethnicity (Asians, Caucasians) and life stage (adults, children) were conducted. Heterogeneity was addressed with outlier treatment.

          Results

          This meta-analysis generated 68 comparisons, 21 of which were significant. Of the 21, four A1 and three A3 highly significant (P a = 0.00001–0.0008) outcomes withstood Bonferroni correction. For A1, allele and recessive associations were found in overall (OR 0.49, 95% CI 0.39–0.61), Caucasians (OR 0.46, 95% CI 0.35–0.61) and children (ORs 0.49–0.66, 95% CI 0.33–0.84) analyses. For A3, associations were found in overall (dominant: OR 0.45, 95% CI 0.29–0.68) and Asian subgroup (allele/ dominant: ORs 0.31–0.39, 95% CIs 0.18–0.63) analyses. These outcomes were either robust, or statistically powered or both and uninfluenced by covariates.

          Conclusions

          Significant associations of the ACE I/D polymorphism with the risk of ALI/ARDS were indicated in Caucasians and children as well as in Asians in mortality analysis. These findings were underpinned by high significance, high statistical power and robustness. ACE genotypes may be useful for ALI/ARDS therapy for patients with COVID-19.

          Highlights

          • Acute respiratory distress syndrome (ARDS) is a likely endpoint for patients with severe COVID-19 infection.

          • Genetic variation of patients may help predict ARDS outcomes.

          • This meta-analysis clarified associations between ACE I/D polymorphisms and ARDS.

          • Caucasians and children were more susceptible to ARDS than Asians and adults.

          • Risk of death due to ARDS impacted Asians more than Caucasians.

          • ACE genotypes may be useful in ARDS therapy for COVID-19-afflicted patients.

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          Most cited references64

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              The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Infect Genet Evol
                Infect Genet Evol
                Infection, Genetics and Evolution
                Published by Elsevier B.V.
                1567-1348
                1567-7257
                16 December 2020
                16 December 2020
                : 104682
                Affiliations
                [a ]Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand
                [b ]Center of Calcium and Bone Research (COCAB), Faculty of Science, Mahidol University, Bangkok 10400, Thailand
                [c ]Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment, Conservation and Parks, 125 Resources Road, Toronto, Ontario, Canada
                [d ]Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bang Pla, Bang Phli, Samut Prakan 10540, Thailand
                [e ]Department of Physiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
                Author notes
                [* ]Corresponding author.
                Article
                S1567-1348(20)30513-X 104682
                10.1016/j.meegid.2020.104682
                7738939
                33338639
                297f5211-5a38-4518-afd8-8e0e42310178
                © 2020 Published by Elsevier B.V.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 23 July 2020
                : 9 December 2020
                : 14 December 2020
                Categories
                Research Paper

                Genetics
                ace,i/d polymorphism,ali/ards,meta-analysis,ace, angiotensin converting enzyme gene,ace, angiotensin converting enzyme protein,ali, acute lung injury,ards, acute respiratory distress syndrome,asp, aggregate statistical power,ci, confidence interval,covid-19, corona virus-19 disease,dd, common homozygous genotype,f, female,hwe, hardy weinberg equilibrium,i2, measure of variability,i/d, insertion/deletion polymorphism,id, heterozygous genotype,ii, variant homozygous genotype,m, male,n, number of studies,or, odds ratio,pa, p-value for association,phet, p-value for heterogeneity

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