Shared genetic mechanism between type 2 diabetes and COVID-19 using pathway-based association analysis

Area of Science:

• Genetics
• Immunology
• Infectious Diseases

Background:

• Patients with type 2 diabetes (T2D) exhibit increased severity and mortality from COVID-19.
• T2D patients are more susceptible to severe complications like cytokine storms and acute respiratory distress syndrome.
• Extreme inflammatory cascades heighten mortality risk in COVID-19 patients.

Purpose of the Study:

• To investigate the genetic correlation between type 2 diabetes and COVID-19.
• To identify shared genetic loci and pathways implicated in the pathogenesis of both diseases.
• To understand the molecular mechanisms underlying exacerbated inflammation in T2D patients with COVID-19.

Main Methods:

• Utilized a conditional false discovery rate statistical framework for genome-wide association study (GWAS) data analysis.
• Analyzed independent GWAS data for T2D (N = 62,892) and COVID-19 (N = 38,984) from a total of 2,343,084 participants.
• Performed functional and pathway association analyses, including GTEx database exploration for gene expression.

Main Results:

• A significant positive genetic correlation was observed between T2D and COVID-19 (r = 0.1511, p = 0.01).
• Two shared single nucleotide polymorphisms (SNPs) (rs505922 and rs3924604) were identified, annotating to the ABO and NUS1 genes.
• Common pathways, including chemokines and their receptors (e.g., CCR2), were implicated in both T2D and COVID-19 pathogenesis.

Conclusions:

• Shared genetic factors, particularly involving chemokine pathways, contribute to the increased risk and severity of COVID-19 in T2D patients.
• The identified genetic loci and pathways, such as CCR2, are crucial in mediating cytokine storms and hyperinflammation.
• These findings highlight potential therapeutic targets for mitigating severe COVID-19 outcomes in individuals with type 2 diabetes.