Article ; Online: Mendelian randomization analysis reveals causal relationship between obstetric-related diseases and COVID-19.
2024 Volume 21, Issue 1, Page(s) 73
Abstract: Background: Several observational studies demonstrated that pregnant individuals with COVID-19 had a higher risk of preeclampsia and preterm birth. We aimed to determine whether women with COVID-19 diagnosis had adverse pregnancy outcomes.: Methods: ... ...
Abstract | Background: Several observational studies demonstrated that pregnant individuals with COVID-19 had a higher risk of preeclampsia and preterm birth. We aimed to determine whether women with COVID-19 diagnosis had adverse pregnancy outcomes. Methods: A two-sample Mendelian randomization (MR) analysis in this study was used to evaluate the casual relationships between COVID-19 infection and obstetric-related diseases based on genome-wide association studies (GWAS) dataset. Inverse-variance weighted (IVW), MR-Egger and MR-PRESSO were used to infer the connection and estimate the pleiotropy respectively. Results: The significant connection was observed between COVID-19 and placental disorders with beta Conclusion: There was no direct causal relationship between COVID-19 infection and maternal and neonatal poor outcomes. Our study could alleviate the anxiety of pregnant women under the COVID-19 pandemic conditions partly. |
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MeSH term(s) | Infant, Newborn ; Pregnancy ; Humans ; Female ; COVID-19/epidemiology ; COVID-19 Testing ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Pandemics ; Placenta ; Premature Birth/epidemiology |
Language | English |
Publishing date | 2024-03-25 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2160640-7 |
ISSN | 1743-422X ; 1743-422X |
ISSN (online) | 1743-422X |
ISSN | 1743-422X |
DOI | 10.1186/s12985-024-02348-4 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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