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A systems genomics approach to uncover patient-specific pathogenic pathways in a complex disease

Brooks, J.; Modos, D.; Sudhakar, P.; Fazekas, D.; Zoufir, A.; Kapuy, O.; Szalay-Beko, M.; Madgwick, M.; Verstockt, B.; Hall, L.; Watson, A.; Tremelling, M.; Parkes, M.; Vermeire, S.; Bender, A.; Carding, S.; Korcsmaros, T.

2019-07-04 bioinformatics
10.1101/692269 bioRxiv
Show abstract

We describe a novel precision medicine workflow, the integrated single nucleotide polymorphism network platform (iSNP), designed to identify the exact mechanisms of how SNPs affect cellular regulatory networks, and how SNP co-occurrences contribute to disease pathogenesis in ulcerative colitis (UC). Using SNP profiles of 377 UC patients, we mapped the regulatory effects of the SNPs to a human signalling network containing protein-protein, miRNA-mRNA and transcription factor binding interactions. Unsupervised clustering algorithms grouped these patient-specific networks into four distinct clusters based on two large disease hubs, NFKB1 and PKCB. Pathway analysis identified the epigenetic modification as common and the T-cell specific responses as differing signalling pathways in the clusters. By integrating individual transcriptomes in active and quiescent disease setting to the patient networks, we validated the impact of non-coding SNPs. The iSNP approach identified regulatory effects of disease-associated non-coding SNPs, and identified how pathogenesis pathways are activated via different genetic modifications.

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