Causal Inference for Genetic Obesity, Cardiometabolic Profile and COVID-19 Susceptibility: A Mendelian Randomization

Nay Aung1,2, Mohammed Y Khanji1,2, Patricia B Munroe1,2

  • 1Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom.

Frontiers in Genetics
|December 2, 2020
PubMed

Insights

Higher body mass index (BMI) and LDL cholesterol causally increase COVID-19 risk. Individuals with higher genetic risk scores for these factors are more susceptible to SARS-CoV-2 infection, supporting BMI integration into risk assessments and suggesting lipid modification

Area of Science:

  • Genetics
  • Epidemiology
  • Cardiovascular Science

Background:

  • Obesity and cardiometabolic conditions are linked to COVID-19 hospitalization.
  • The causal relationships between these factors and COVID-19 susceptibility remain unclear.

Purpose of the Study:

  • To investigate the causal impact of obesity and cardiometabolic traits on COVID-19 susceptibility.
  • To evaluate the association between genetic predisposition to these traits and SARS-CoV-2 infection risk.

Main Methods:

  • Utilized multivariable logistic regression and Mendelian randomization (MR) in the UK Biobank.
  • Employed one-sample and two-sample MR analyses using genetic risk scores and summary statistics.
  • Applied Cox proportional hazard models to assess risk based on genetic quintiles.

Main Results:

  • Observational analysis showed higher BMI, waist circumference, HbA1c, and lower HDL-cholesterol associated with increased COVID-19 odds.
  • One-sample MR revealed causal links between genetically determined BMI and LDL cholesterol with higher COVID-19 risk.
  • Two-sample MR confirmed these findings, with higher genetic risk score quintiles for BMI and LDL associated with increased COVID-19 predisposition.

Conclusions:

  • Established causal associations between BMI, LDL cholesterol, and COVID-19 susceptibility.
  • Higher genetic risk for BMI and LDL cholesterol predisposes individuals to SARS-CoV-2 infection.
  • Findings advocate for incorporating BMI into COVID-19 risk assessments and highlight potential benefits of lipid modification.
Abstract

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