Demographic and genetic factors influence the abundance of infiltrating immune cells in human tissues.

ABSTRACT: Despite infiltrating immune cells having an essential function in human disease and patients' responses to treatments, mechanisms influencing variability in infiltration patterns remain unclear. Here, using bulk RNA-seq data from 46 tissues in the Genotype-Tissue Expression project, we apply cell-type deconvolution algorithms to evaluate the immune landscape across the healthy human body. We discover that 49 of 189 infiltration-related phenotypes are associated with either age or sex (FDR < 0.1). Genetic analyses further show that 31 infiltration-related phenotypes have genome-wide significant associations (iQTLs) (P < 5.0 × 10^-8), with a significant enrichment of same-tissue expression quantitative trait loci in suggested iQTLs (P < 10^-5). Furthermore, we find an ass

SUBMITTER: Marderstein AR 

PROVIDER: S-EPMC7200670 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature