Unraveling Risk Genes of COVID-19 by Multi-Omics Integrative Analyses

Area of Science:

• Genetics and Genomics
• Infectious Diseases
• Immunology

Background:

• Understanding the genetic underpinnings of COVID-19 is crucial for elucidating disease mechanisms and developing effective treatments.
• Host genetic factors significantly influence individual susceptibility and disease severity in COVID-19.

Purpose of the Study:

• To identify host genetic variants associated with COVID-19 susceptibility and severity.
• To explore the functional relevance of genetic associations using expression and methylation quantitative trait loci data.

Main Methods:

• Utilized genome-wide association study (GWAS) summary results from a large cohort of COVID-19 cases and controls.
• Employed summary data-based Mendelian randomization (SMR) analysis to colocalize GWAS signals with expression quantitative trait loci (eQTL) and methylation quantitative trait loci (mQTL) data.
• Conducted a transcriptome-wide association study (TWAS) using S-PrediXcan to identify genes associated with COVID-19.

Main Results:

• SMR analysis identified seven protein-coding genes associated with COVID-19, including novel risk genes CCR5 and MAPT.
• TWAS revealed four genes associated with COVID-19, highlighting CCR5 and PIGN as novel risk genes.
• The study confirmed the functional relevance of known COVID-19 risk genes and identified new genetic contributors to disease outcomes.

Conclusions:

• This research underscores the importance of host genetics in determining COVID-19 outcomes.
• The identification of novel risk genes like CCR5 and PIGN provides new avenues for understanding COVID-19 pathogenesis and developing targeted therapies.