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Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies.

Authors :
Luo, Shan
Liang, Ying
Wong, Tommy Hon Ting
Schooling, Catherine Mary
Yeung, Shiu Lun Au
Source :
International Journal of Epidemiology. Aug2022, Vol. 51 Issue 4, p1088-1105. 18p.
Publication Year :
2022

Abstract

Background To summarize modifiable factors for coronavirus disease 2019 (COVID-19) suggested by Mendelian randomization studies. Methods In this systematic review, we searched PubMed, EMBASE and MEDLINE, from inception to 15 November 2021, for Mendelian randomization studies in English. We selected studies that assessed associations of genetically predicted exposures with COVID-19-related outcomes (severity, hospitalization and susceptibility). Risk of bias of the included studies was evaluated based on the consideration of the three main assumptions for instrumental variable analyses. Results We identified 700 studies through systematic search, of which 50 Mendelian randomization studies were included. Included studies have explored a wide range of socio-demographic factors, lifestyle attributes, anthropometrics and biomarkers, predisposition to diseases and druggable targets in COVID-19 risk. Mendelian randomization studies suggested that increases in smoking, obesity and inflammatory factors were associated with higher risk of COVID-19. Predisposition to ischaemic stroke, combined bipolar disorder and schizophrenia, attention-deficit and hyperactivity disorder, chronic kidney disease and idiopathic pulmonary fibrosis was potentially associated with higher COVID-19 risk. Druggable targets, such as higher protein expression of histo-blood group ABO system transferase (ABO), interleukin (IL)-6 and lower protein expression of 2′-5′ oligoadenylate synthetase 1 (OAS1) were associated with higher risk of COVID-19. There was no strong genetic evidence supporting the role of vitamin D, glycaemic traits and predisposition to cardiometabolic diseases in COVID-19 risk. Conclusion This review summarizes modifiable factors for intervention (e.g. smoking, obesity and inflammatory factors) and proteomic signatures (e.g. OAS1 and IL-6) that could help identify drugs for treating COVID-19. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03005771
Volume :
51
Issue :
4
Database :
Academic Search Index
Journal :
International Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
158908622
Full Text :
https://doi.org/10.1093/ije/dyac076