Mendelian randomization study of obesity and type 2 diabetes in hospitalized COVID-19 patients.


Journal

Metabolism: clinical and experimental
ISSN: 1532-8600
Titre abrégé: Metabolism
Pays: United States
ID NLM: 0375267

Informations de publication

Date de publication:
04 2022
Historique:
received: 05 11 2021
revised: 22 01 2022
accepted: 24 01 2022
pubmed: 2 2 2022
medline: 17 3 2022
entrez: 1 2 2022
Statut: ppublish

Résumé

Both obesity and type 2 diabetes (T2D) are reported to be highly enriched in hospitalized COVID-19 patients. Due to the close correlation between obesity and T2D, it is important to examine whether obesity and T2D are independently related to COVID-19 hospitalization. To examine the causal effect of obesity and T2D in hospitalized COVID-19 patients using Mendelian randomization (MR). This two-sample MR analysis applied genetic markers of obesity identified in the genome wide association study (GWAS) by the GIANT Consortium as instrumental variables (IVs) of obesity; and genetic markers of T2D identified by the DIAGRAM Consortium as IVs of T2D. The MR analysis was performed in hospitalized COVID-19 patient by the COVID-19 Host Genetics Initiative using the MR-Base platform. All 3 classes of obesity (Class 1/2/3) were shown as the causal risk factors of COVID-19 hospitalization; however, T2D doesn't increase the risk of hospitalization or critically ill COVID-19 as an independent factor. Obesity, but not T2D, is a primary risk factor of COVID-19 hospitalization.

Sections du résumé

BACKGROUND
Both obesity and type 2 diabetes (T2D) are reported to be highly enriched in hospitalized COVID-19 patients. Due to the close correlation between obesity and T2D, it is important to examine whether obesity and T2D are independently related to COVID-19 hospitalization.
OBJECTIVE
To examine the causal effect of obesity and T2D in hospitalized COVID-19 patients using Mendelian randomization (MR).
RESEARCH DESIGN AND METHODS
This two-sample MR analysis applied genetic markers of obesity identified in the genome wide association study (GWAS) by the GIANT Consortium as instrumental variables (IVs) of obesity; and genetic markers of T2D identified by the DIAGRAM Consortium as IVs of T2D. The MR analysis was performed in hospitalized COVID-19 patient by the COVID-19 Host Genetics Initiative using the MR-Base platform.
RESULTS
All 3 classes of obesity (Class 1/2/3) were shown as the causal risk factors of COVID-19 hospitalization; however, T2D doesn't increase the risk of hospitalization or critically ill COVID-19 as an independent factor.
CONCLUSIONS
Obesity, but not T2D, is a primary risk factor of COVID-19 hospitalization.

Identifiants

pubmed: 35101533
pii: S0026-0495(22)00034-8
doi: 10.1016/j.metabol.2022.155156
pmc: PMC8800123
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

155156

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

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Auteurs

Hui-Qi Qu (HQ)

The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Jingchun Qu (J)

The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Joseph Glessner (J)

The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Hakon Hakonarson (H)

The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Faculty of Medicine, University of Iceland, Reykjavik, Iceland. Electronic address: hakonarson@email.chop.edu.

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Classifications MeSH