Integrative multi-omics framework for causal gene discovery in Long COVID.

ABSTRACT: Long COVID, or Post-Acute Sequelae of SARS-CoV-2 infection (PASC), affects an estimated 10-20% of COVID-19 patients and presents persistent multisystemic symptoms. Although demographic and clinical factors, such as age, sex, and comorbidities, contribute to risk, the genetic mechanisms underlying this risk remain poorly defined. To address this gap, we developed a multi-omics framework that integrates Transcriptome-Wide Mendelian Randomization (TWMR), Control Theory (CT), Expression Quantitative Trait Loci (eQTL), Genome-Wide Association Studies (GWAS), RNA sequencing (RNA-seq), and Protein-Protein Interaction (PPI) network to identify putative causal genes and network drivers in Long COVID. Our approach prioritized 32 candidate genes, including 19 previously reported and 13 novel, with ro

SUBMITTER: Pinero S 

PROVIDER: S-EPMC12677781 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature