Common and rare variants in complement genes as biomarkers of COVID-19 infection and severity. A lesson to learn for emerging pathogens - Report - MDSpire

Common and rare variants in complement genes as biomarkers of COVID-19 infection and severity. A lesson to learn for emerging pathogens

  • By

  • María Eugenia De La Morena-Barrio

  • Ana Van Den Rym

  • Olga Escorial Sanz

  • Fernando Corvillo

  • Rosario García-Sánchez

  • Laura González-Sánchez

  • Adrián Muñoz-Barrera

  • Rafaela González-Montelongo

  • José Miguel Lorenzo-Salazar

  • Carlos Flores

  • Ana de Andrés-Martín

  • Carlos Rodríguez-Gallego

  • Luis Allende

  • Laia Alsina

  • Silvia Sánchez-Ramón

  • Eduardo López-Collazo

  • Margarita López-Trascasa

  • Pilar Sánchez-Corral

  • Rebeca Pérez de Diego

  • Javier Corral de la Calle

  • Alberto López-Lera

  • June 11, 2026

  • 0 min

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Clinical Report: Genetic Variants in Complement Pathway Genes and COVID-19

Overview

Revise to include the significance of the genetic associations and their implications for understanding COVID-19 severity.

Background

The COVID-19 pandemic has underscored the importance of understanding host factors that influence disease severity. Genetic variants affecting the complement system, a critical component of innate immunity, may play a significant role in modulating responses to SARS-CoV-2 infection. Investigating these variants could provide insights into susceptibility and inform future therapeutic strategies.

Data Highlights

GenePolymorphismAssociation
CFHR4rs7417769 (p.N209S)Protection against ARDS
CFHrs1061170 (p.Y402H)Protection against ARDS
C3rs2230199 (p.R102G)Correlated with low C3 levels
MASP2rs7255087 (p.D120G)Correlated with high C3 levels
C1Rrs117402032Over-represented in severe cases
C8Ars143523574Over-represented in severe cases

Key Findings

  • CFHR4 rs7417769 and CFH rs1061170 polymorphisms are associated with protection against ARDS.
  • C3 rs2230199 and MASP2 rs7255087 polymorphisms correlate with C3 levels.
  • Increased frequency of C1R and C8A polymorphisms suggests a link between defective complement activation and SARS-CoV-2 infection rates.
  • Common variants in complement genes may modulate susceptibility to severe COVID-19 and its complications.
  • Identified genetic biomarkers could aid in preparedness for future infectious threats.

Clinical Implications

Understanding the role of complement pathway genetic variants may help identify individuals at higher risk for severe COVID-19. This knowledge could inform targeted interventions and enhance preparedness for future pandemics by identifying potential biomarkers for susceptibility.

Conclusion

Strengthen the call for further research and clinical application of the findings.

Related Resources & Content

  1. npj Digital Medicine, 2025 -- Multiomics Analysis Using Explainable AI Uncovers Common and Distinct Host Responses in COVID-19 and Influenza
  2. Frontiers in Immunology, 2026 -- Complement activation in patients with post-acute sequelae after SARS-CoV-2 infection
  3. Infection, 2023 -- Epigenetic Insights on COVID-19 Infection and the Associated Cytokine Storm: A Comprehensive Review
  4. Frontiers in Immunology, 2026 -- Modulator-induced conformational changes in complement C5, implications for function and drug design
  5. Therapeutics and COVID-19: living guideline, August 2025
  6. In vitro complement activation via nucleocapsid and spike proteins of SARS-CoV-2 in COVID-19 patients | Scientific Reports
  7. Anti-C5a antibody (vilobelimab) therapy for critically ill, invasively mechanically ventilated patients with COVID-19 (PANAMO): a multicentre, double-blind, randomised, placebo-controlled, phase 3 trial - PMC
  8. Therapeutics and COVID-19: living guideline, August 2025
  9. In vitro complement activation via nucleocapsid and spike proteins of SARS-CoV-2 in COVID-19 patients | Scientific Reports
  10. Anti-C5a antibody (vilobelimab) therapy for critically ill, invasively mechanically ventilated patients with COVID-19 (PANAMO): a multicentre, double-blind, randomised, placebo-controlled, phase 3 trial - PMC

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