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Mendelian randomization and Bayesian model averaging of autoimmune diseases and Long COVID

Jieni Feng1, Jiankun Chen1,2,3, Xiaoya Li1

  • 1The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.

Frontiers in Genetics
|July 15, 2024
PubMed

Insights

This study investigated the causal link between autoimmune diseases and Long COVID. Inflammatory bowel disease, Crohn's disease, and ulcerative colitis were found to increase the risk of developing Long COVID.

Area of Science:

  • Genetics
  • Immunology
  • Public Health

Background:

  • Long COVID is a growing concern following SARS-CoV-2 infection.
  • Autoimmune diseases (AIDs) have been reported in individuals with Long COVID.
  • The bidirectional causal relationship between Long COVID and AIDs remains under-investigated.

Purpose of the Study:

  • To investigate the potential causal effects of autoimmune diseases on the development of Long COVID.
  • To explore the bidirectional causal relationships between Long COVID and various AIDs.

Main Methods:

  • Utilized summary-level data from genome-wide association studies (GWAS) for Long COVID and AIDs.
  • Employed Mendelian randomization (MR) and Bayesian model averaging (BMA) to assess bidirectional causal effects.

Main Results:

  • Found evidence of causal effects from inflammatory bowel disease (IBD), Crohn's disease (CD), and ulcerative colitis (UC) on Long COVID.
  • UC was identified as the highest-ranked causal factor for Long COVID in the MR-BMA analysis, followed by IBD and CD.

Conclusions:

  • IBD, CD, and UC exhibit causal effects on Long COVID development.
  • Highlights the need for screening high-risk populations for Long COVID, particularly those with these autoimmune conditions.
Abstract

Keywords:
Bayesian model averagingLong CovidMendelian randomizationautoimmune diseasescausality

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