Discovery of Candidate Disease Genes Using Trans-Regulatory Effects // Implements the DANDELION method for prioritizing candidate disease-related proximal genes by integrating trans- regulatory association p-values and gene-level trait association p-values. The statistical testing framework builds on the divide-aggregate composite-null test described by Liu et al. (2022) doi:10.1080/01621459.2021.1914634. The biological application and SNP/gene-based prioritization workflow are motivated by Salamone et al. (under review), "Leveraging trans- gene regulation prioritizes central genes and pathways in asthma". The package provides functions for identifying distal- proximal gene pairs, organizing significant pairs into genomic loci, and visualizing resulting gene networks.