title: Personalized medicine: from genotypes, molecular phenotypes and the quantified self, towards improved medicine.
abstract: Advances in molecular profiling and sensor technologies are expanding the scope of personalized medicine beyond genotypes, providing new opportunities for developing richer and more dynamic multi-scale models of individual health. Recent studies demonstrate the value of scoring high-dimensional microbiome, immune, and metabolic traits from individuals to inform personalized medicine. Efforts to integrate multiple dimensions of clinical and molecular data towards predictive multi-scale models of individual health and wellness are already underway. Improved methods for mining and discovery of clinical phenotypes from electronic medical records and technological developments in wearable sensor technologies present new opportunities for mapping and exploring the critical yet poorly characterized "phenome" and "envirome" dimensions of personalized medicine. There are ambitious new projects underway to collect multi-scale molecular, sensor, clinical, behavioral, and environmental data streams from large population cohorts longitudinally to enable more comprehensive and dynamic models of individual biology and personalized health. Personalized medicine stands to benefit from inclusion of rich new sources and dimensions of data. However, realizing these improvements in care relies upon novel informatics methodologies, tools, and systems to make full use of these data to advance both the science and translational applications of personalized medicine.
authors.affiliation: Icahn School of Medicine at Mount Sinai, 1425 Madison Ave., New York, USA. joel.dudley@mssm.edu.
authors.forename: Joel T
authors.initials: JT
authors.lastname: Dudley
authors.forename: Jennifer
authors.initials: J
authors.lastname: Listgarten
authors.forename: Oliver
authors.initials: O
authors.lastname: Stegle
authors.forename: Steven E
authors.initials: SE
authors.lastname: Brenner
authors.forename: Leopold
authors.initials: L
authors.lastname: Parts
mesh_terms: D019295:Computational Biology; D005838:Genotype; D006801:Humans; D066230:Patient-Specific Modeling; D010641:Phenotype; D057285:Precision Medicine / Q000706:statistics & numerical data / Q000639:trends*; D049490:Systems Biology