“…The public available eQTL and other molecular signatures have become useful resources to nominate candidate casual genes of complex diseases (GTEx Consortium, 2017;Cheng et al, 2019aCheng et al, , 2020. However, the detailed understanding of the molecular mechanisms through which these egenes jointly affect disease phenotypes remains largely unclear, and their discovery is a challenging computational task (Cheng et al, 2019b;Peng et al, 2020a). Instead of analyzing binary relationships between single SNP and single gene, network-based analyses provide valuable insights into the higher-order structure of gene communities or pathways that those potential disease genes may work together in the etiology of complex diseases (Fagny et al, 2017;Cheng et al, 2019b;Peng et al, 2020b;Wang et al, 2020).…”