title: Utilizing population variation, vaccination, and systems biology to study human immunology.
abstract: The move toward precision medicine has highlighted the importance of understanding biological variability within and across individuals in the human population. In particular, given the prevalent involvement of the immune system in diverse pathologies, an important question is how much and what information about the state of the immune system is required to enable accurate prediction of future health and response to medical interventions. Towards addressing this question, recent studies using vaccination as a model perturbation and systems-biology approaches are beginning to provide a glimpse of how natural population variation together with multiplexed, high-throughput measurement and computational analysis can be used to uncover predictors of immune response quality in humans. Here I discuss recent developments in this emerging field, with emphasis on baseline correlates of vaccination responses, sources of immune-state variability, as well as relevant features of study design, data generation, and computational analysis.
authors.affiliation: Systems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD 20892, USA; Trans-NIH Center for Human Immunology, Autoimmunity, and Inflammation (CHI), National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: john.tsang@nih.gov.
authors.forename: John S
authors.initials: JS
authors.lastname: Tsang
mesh_terms: D006801:Humans; D007107:Immune System / Q000276:immunology*; D049490:Systems Biology; D014611:Vaccination