Article ; Online: Educational Attainment Decreases the Risk of COVID-19 Severity in the European Population: A Two-Sample Mendelian Randomization Study.
2021 Volume 9, Page(s) 673451
Abstract: ... of EA on the risk of COVID-19 severity using the Mendelian randomization (MR) approach. A two-sample MR ... participants of European ancestry. The effect of each SNP on the outcome of COVID-19 severity risk was obtained ... associated with a lower risk of COVID-19 severity (odds ratio per one standard deviation increase in years ...
| Abstract | Observational studies have reported that the severity of COVID-19 depends not only on physical conditions but also on socioeconomic status, including educational level. Because educational attainment (EA), which measures the number of years of schooling, is moderately heritable, we investigated the causal association of EA on the risk of COVID-19 severity using the Mendelian randomization (MR) approach. A two-sample MR analysis was performed using publicly available summary-level data sets of genome-wide association studies (GWASs). A total of 235 single-nucleotide polymorphisms (SNPs) were extracted as instrumental variables for the exposure of EA from the Social Science Genetic Association Consortium GWAS summary data of 766,345 participants of European ancestry. The effect of each SNP on the outcome of COVID-19 severity risk was obtained from the GWAS summary data of 1,059,456 participants of European ancestry gathered from the COVID-19 Host Genetics Initiative. Using inverse variance weighted method, our MR study shows that EA was significantly associated with a lower risk of COVID-19 severity (odds ratio per one standard deviation increase in years of schooling, 0.540; 95% confidence interval, 0.376-0.777, |
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| MeSH term(s) | COVID-19 ; Genome-Wide Association Study ; Humans ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; SARS-CoV-2 |
| Language | English |
| Publishing date | 2021-06-03 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2711781-9 |
| ISSN | 2296-2565 ; 2296-2565 |
| ISSN (online) | 2296-2565 |
| ISSN | 2296-2565 |
| DOI | 10.3389/fpubh.2021.673451 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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