Bioinformatic analysis predicts the regulatory function of noncoding SNPs associated with Long COVID-19 syndrome

Area of Science:

• Genetics
• Genomics
• Molecular Biology

Background:

• Long COVID-19, characterized by persistent symptoms post-infection, is influenced by host genetic factors.
• Genome-Wide Association Studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) linked to Long COVID-19 across diverse ethnic groups.

Purpose of the Study:

• To investigate the genetic underpinnings of Long COVID-19 by analyzing associated SNPs in African-American and Hispanic populations.
• To explore the potential regulatory functions of identified SNPs in noncoding genomic regions.

Main Methods:

• Genome-Wide Association Studies (GWAS) were employed to identify SNPs associated with Long COVID-19.
• In silico analysis was used to predict the functional roles of these SNPs, including interactions with genes and transcription factors.
• Analysis of CpG methylation status for a specific SNP in relevant immune cells.

Main Results:

• Two SNPs, rs10999901 and rs1868001, were strongly associated with Long COVID-19 in the African-American population.
• The SNP rs3759084 showed a significant association with Long COVID-19 in the Hispanic population.
• These SNPs are located in noncoding regions and appear to function as distant enhancers, interacting with genes such as CDH23, C10orf105, MYF5, and PTPRQ.
• rs10999901 exhibits differential methylation in CD4++ T cells and monocytes, which is altered by the C>T transition.

Conclusions:

• The identified SNPs likely contribute to Long COVID-19 development through regulatory mechanisms affecting gene expression.
• These findings provide a basis for further experimental studies to elucidate the precise molecular pathways involved in Long COVID-19 symptom persistence.