Congratulations to the team of Prof Moschonas on this pioneering bioinformatics tool. We at Proteas Bioanalytics Inc. will incorporate to our existing bioinformatics platform.
We are proud to announce that our latest work entitled “Protein–protein interaction network-based integration of GWAS and functional data for blood pressure (BP) regulation analysis” co-authored by E-P Tsare, MI Klapa & NK Moschonas, has been published in Human Genomics. In this study, we introduced an integrated workflow for upgrading the information content of ΒP-GWAS data through PPI network analysis, starting from the development of a systematically curated BP-GWAS meta-database, combining GWAS data with their transcript effects and eQTL measurements, leading to their projection on the human PPI network and to the definition of an integrated GWAS-based prioritization criterion for BP-associated genes. The projection of the data on the PPI network revealed connected and non-connected components, which we linked through shortest paths considering the intermediate nodes as also related to BP. Indeed, pathway enrichment analysis revealed many BP-enriched pathways, indicating underlying mechanisms and targets for drugs and therapeutic treatments. The role of each protein-node based on network metrics provided a second BP-protein prioritization criterion. A third prioritization criterion revealed the intermediate nodes that are common neighbors of GWAS-prioritized proteins. The integrated BP-prioritization set was topped by the proteins satisfying at least two of the prioritization criteria. ESR1 emerged as the most BP-significant. This study extends our knowledge about blood pressure regulation and could be effectively applied to GWAS datasets of any multifactorial disease. https://lnkd.in/deeCqxcQ