Population-Specific Multiomics Graph Analysis of ACE Protein Expression

Genetic variants can influence protein expression, leading to population-specific differences in biological processes and disease susceptibility. This project integrates protein quantitative trait loci (pQTL) data with population-specific genetic variants to construct gene-specific graphs. These graphs represent both reference genomic sequences and variant information, enabling downstream analysis through graph-based machine learning models.