Exploring COVID-19 causal genes through disease-specific Cis-eQTLs.

Area of Science:

• Genomics
• Molecular Biology
• Infectious Disease Research

Background:

• Genetic factors significantly impact COVID-19 susceptibility and severity.
• A lack of disease-specific expression quantitative trait loci (eQTL) data has limited understanding of COVID-19 mechanisms.

Purpose of the Study:

• To identify COVID-19-specific cis-eQTLs by integrating genetic variations and RNA sequencing data.
• To uncover potential causal genes influencing COVID-19 pathogenesis.
• To elucidate the regulatory effects of genetic variations on gene expression in COVID-19 patients.

Main Methods:

• Integration of nucleotide sequence variations and RNA-Seq data from COVID-19 patient and control samples.
• Identification of cis-eQTLs specific to COVID-19.
• Analysis of gene expression differences between patients and controls.
• siRNA-mediated depletion assays to validate causal genes in SARS-CoV-2 infection models.

Main Results:

• Discovery of COVID-19-specific cis-eQTLs, showing differential regulatory effects between patients and controls.
• Identification of 48 potential causal genes across six tissues, with 14 validated as directly associated with SARS-CoV-2 infection.
• Association of the rs1128320 TT genotype with increased susceptibility to severe COVID-19 due to altered IFITM1 expression.

Conclusions:

• SARS-CoV-2 infection induces alterations in the human internal environment, impacting gene expression.
• The study identified novel causal genes and provided new perspectives on COVID-19 pathogenesis.
• Findings contribute to a deeper understanding of the genetic underpinnings of COVID-19 severity.