title: Systems-Level Nutrition Approaches to Define Phenotypes Resulting from Complex Gene-Environment Interactions.
abstract: High-throughput metabolomic, proteomic, and genomic technologies have delivered 21st-century data showing that humans cannot be randomized into groups: individuals are genetically and biochemically distinct. Gene-environment interactions caused by unique dietary and lifestyle factors contribute to the heterogeneity in physiologies observed in human studies. The risk factors determined for populations (i.e. the population-attributable risk) cannot be applied to the individual. Developing individual risk/benefit factors in light of the genetic diversity of human populations, the complexity of foods, culture and lifestyle, and the variety in metabolic processes that lead to health or disease are significant challenges for personalizing dietary advice for healthy or diseased individuals.
authors.forename: Jim
authors.initials: J
authors.lastname: Kaput
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D004032:Diet; D059647:Gene-Environment Interaction; D014644:Genetic Variation; D023281:Genomics; D006801:Humans; D008019:Life Style; D055432:Metabolomics; D009752:Nutritional Status; D010641:Phenotype; D057285:Precision Medicine; D011634:Public Health; D012307:Risk Factors; D049490:Systems Biology
chemical_list: D015415:Biomarkers