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Cardiometabolic Traits, Sepsis, and Severe COVID-19: A Mendelian Randomization Investigation.

Accepted version
Peer-reviewed

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Type

Article

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Authors

Ponsford, Mark J 
Gkatzionis, Apostolos 
Walker, Venexia M 
Grant, Andrew J 
Wootton, Robyn E 

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the current coronavirus disease 2019 (COVID-19) pandemic. Many patients with severe COVID-19 develop sepsis. Cardiometabolic traits have been associated with increased risk of severe COVID-19 and sepsis, however it is difficult to infer causal effects from observational studies due to the possibility that any identified associations may be attributable to confounding.

Description

Keywords

Mendelian randomization analysis, coronavirus, risk factors, sepsis, Betacoronavirus, Body Mass Index, COVID-19, Case-Control Studies, Coronavirus Infections, Diabetes Mellitus, Type 2, Dyslipidemias, Gene-Environment Interaction, Genetic Association Studies, Genetic Predisposition to Disease, Host-Pathogen Interactions, Humans, Mendelian Randomization Analysis, Obesity, Pandemics, Phenotype, Pneumonia, Viral, Polymorphism, Single Nucleotide, Risk Factors, SARS-CoV-2, Sepsis, Severity of Illness Index, Smoking

Journal Title

Circulation

Conference Name

Journal ISSN

0009-7322
1524-4539

Volume Title

142

Publisher

Ovid Technologies (Wolters Kluwer Health)

Rights

All rights reserved
Sponsorship
Medical Research Council (MC_UU_00002/7)
Wellcome Trust (204623/Z/16/Z)
European Commission and European Federation of Pharmaceutical Industries and Associations (EFPIA) FP7 Innovative Medicines Initiative (IMI) (116074)