Bakir-Gungor, BurcuEgemen, EceSezerman, Osman Ugur2025-09-252025-09-2520141367-48031460-20591367-4811https://doi.org/10.1093/bioinformatics/btt743https://hdl.handle.net/20.500.12573/4368Bakir-Gungor, Burcu/0000-0002-2272-6270; Sezerman, Osman Ugur/0000-0003-0905-6783;Genome-wide association studies (GWAS) have revolutionized the search for the variants underlying human complex diseases. However, in a typical GWAS, only a minority of the single-nucleotide polymorphisms (SNPs) with the strongest evidence of association is explained. One possible reason of complex diseases is the alterations in the activity of several biological pathways. Here we present a web server called Pathway and Network-Oriented GWAS Analysis to devise functionally important pathways through the identification of SNP-targeted genes within these pathways. The strength of our methodology stems from its multidimensional perspective, where we combine evidence from the following five resources: (i) genetic association information obtained through GWAS, (ii) SNP functional information, (iii) protein-protein interaction network, (iv) linkage disequilibrium and (v) biochemical pathways.eninfo:eu-repo/semantics/closedAccessArticle10.1093/bioinformatics/btt7432-s2.0-84899510639