title: From -omics to personalized medicine in nephrology: integration is the key.
abstract: Large-scale gene, protein and metabolite measurements ('omics') have driven the resolution of biology to an unprecedented high definition. Passing from reductionism to a system-oriented perspective, medical research will take advantage of these high-throughput technologies unveiling their full potential. Integration is the key to decoding the underlying principles that govern the complex functions of living systems. Extensive computational support and statistical modelling is needed to manage and connect the -omic data sets but this, in turn, is speeding up the hypothesis generation in biology enormously and yielding a deep insight into the pathophysiology. This systems biology approach will transform diagnostic and therapeutic strategies with the discovery of novel biomarkers that will enable a predictive and preventive medicine leading to personalized medicine.
authors.affiliation: Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK. f.pesce@imperial.ac.uk
authors.forename: Francesco
authors.initials: F
authors.lastname: Pesce
authors.forename: Saad
authors.initials: S
authors.lastname: Pathan
authors.forename: Francesco Paolo
authors.initials: FP
authors.lastname: Schena
mesh_terms: D015415:Biomarkers; D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods*; D006801:Humans; D009398:Nephrology / Q000379:methods*; D057285:Precision Medicine; D040901:Proteomics / Q000379:methods*; D049490:Systems Biology / Q000379:methods*
chemical_list: D015415:Biomarkers