A Cellular GWAS Approach to Define Human Variation in Cellular Pathways Important to Inflammation
AbstractAn understanding of common human diversity in innate immune pathways should be beneficial in understanding autoimmune diseases, susceptibility to infection, and choices of anti-inflammatory treatment. Such understanding could also result in definition of currently unknown components of human inflammation pathways. A cellular genome-wide association studies (GWAS) platform, termed Hi-HOST (High-throughput human in vitro susceptibility testing), was developed to assay in vitro cellular phenotypes of infection in genotyped lymphoblastoid cells from genetically diverse human populations. Hi-HOST allows for measurement of multiple host and pathogen parameters of infection/inflammation including: bacterial invasion and intracellular replication, host cell death, and cytokine production. Hi-HOST has been used to successfully define a significant portion of the heritable human diversity in inflammatory cell death in response to Salmonella typhimurium. It also led to the discovery of genetic variants important to protection against systemic inflammatory response syndrome (SIRS) and protection against death and bacteremia in individuals with SIRS. Our laboratory is currently using this platform to define human diversity in autophagy and the NLPR3 inflammasome pathways, and to define new components that can impact the expression of phenotypes related to these pathways. View Full-Text
Share & Cite This Article
Miller, S.I.; Chaudhary, A. A Cellular GWAS Approach to Define Human Variation in Cellular Pathways Important to Inflammation. Pathogens 2016, 5, 39.
Miller SI, Chaudhary A. A Cellular GWAS Approach to Define Human Variation in Cellular Pathways Important to Inflammation. Pathogens. 2016; 5(2):39.Chicago/Turabian Style
Miller, Samuel I.; Chaudhary, Anu. 2016. "A Cellular GWAS Approach to Define Human Variation in Cellular Pathways Important to Inflammation." Pathogens 5, no. 2: 39.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.