PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data

Creative Commons License

Bakir-Gungor B., Egemen E., Sezerman O. U.

BIOINFORMATICS, cilt.30, sa.9, ss.1287-1289, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 9
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1093/bioinformatics/btt743
  • Dergi Adı: BIOINFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1287-1289
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

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.