A GWAS Meta-meta-analysis and In-depth Silico Pharmacogenomic Investigations in Identification of APOE and Other Genes Associated with Pain, Anti-inflammatory, and Immunomodulating Agents in Opioid Use Disorder (OUD) Derived from 14.91 M Subjects.

Abstract

This study aimed to integrate genome-wide association studies (GWAS) with pharmacogenomics data to develop personalized pain and inflammatory therapeutics. Despite recent developments in the clinical utilities of pharmacogenomics, it needs more investigations for uncovering the complicated mechanisms of drugs from a genetic standpoint. The research addresses the increasing misuse of opioids during recovery, emphasizing personalized interventions for opioid use disorder (OUD). Key pain-related pathways were analyzed to uncover their interactions. Five GWAS traits, including pain, inflammatory biomarkers, immune system abnormalities, and opioid-related traits, were examined. Candidate genes extracted from GWAS datasets were refined through in silico analyses, including protein-protein interactions (PPIs), TF-miRNA coregulatory interactions, enrichment analysis (EA), and clustering enrichment analysis (CEA). A network of 50 highly connected genes was identified, with APOE emerging as a top candidate due to its role in cholesterol metabolism and opioid-induced lipid effects. Pharmacogenomics analysis highlighted significant gene annotations, including OPRM1, DRD2, APOE, GRIN2B, and GPR98, linking them to opioid dependence, neurological disorders, and lipid traits. Protein interaction analyses further validated these connections, with implications for epigenetic repair. Our findings reveal a strong association between APOE, opioid use, and Alzheimer's disease, suggesting potential for novel recovery strategies. Combining HDL-boosting drugs with pro-dopaminergic regulators like KB220 may help prevent relapse. This study underscores the importance of integrating genetic and pharmacogenomic data to advance personalized therapies.