Integrative transcriptomic analysis reveals key drivers of acute peanut allergic reactions.

Mechanisms driving acute food allergic reactions have not been fully characterized. We profile the dynamic transcriptome of acute peanut allergic reactions using serial peripheral blood samples obtained from 19 children before, during, and after randomized, double-blind, placebo-controlled oral challenges to peanut. We identify genes with changes in expression triggered by peanut, but not placebo, during acute peanut allergic reactions. Network analysis reveals that these genes comprise coexpression networks for acute-phase response and pro-inflammatory processes. Key driver analysis identifies six genes (LTB4R, PADI4, IL1R2, PPP1R3D, KLHL2, and ECHDC3) predicted to causally modulate the state of coregulated networks in response to peanut. Leukocyte deconvolution analysis identifies changes in neutrophil, naive CD4+ T cell, and macrophage populations during peanut challenge. Analyses in 21 additional peanut allergic subjects replicate major findings. These results highlight key genes, biological processes, and cell types that can be targeted for mechanistic study and therapeutic targeting of peanut allergy.

The immunoglobulin heavy chain locus: genetic variation, missing data, and implications for human disease.

The immunoglobulin (IG) loci consist of repeated and highly homologous sets of genes of different types, variable (V), diversity (D) and junction (J), that rearrange in developing B cells to produce an individual's highly variable repertoire of expressed antibodies, designed to bind to a vast array of pathogens. This repeated structure makes these loci susceptible to a high frequency of insertion and deletion events through evolutionary time, and also makes them difficult to characterize at the genomic level or assay with high-throughput techniques. Given the central role of antibodies in the adaptive immune system, it is not surprising that early candidate gene approaches showed that germline polymorphisms in these regions correlated with susceptibility to both infectious and autoimmune diseases. However, more recent studies, particularly those using high-throughput genome-wide arrays, have failed to implicate these loci in disease. In this review of the IG heavy chain variable gene cluster (IGHV), we examine how poorly we understand the distribution of haplotype variation in this genomic region, and we argue that this lack of information may mask candidate loci in the IGHV gene cluster as causative factors for infectious and autoimmune diseases.

Revisiting the T-cell receptor alpha/delta locus and possible associations with multiple sclerosis.

A role for T cells in the pathogenesis of multiple sclerosis (MS) is well supported, evidenced by myriad immunological studies, as well as the unequivocal genetic influence of the major histocompatibility complex (MHC). Despite many attempts, no convincing genetic associations have been made between T-cell receptor (TCR) gene loci and MS. However, these studies may not be definitive because of small sample sizes and under-representative marker coverage of the chromosomal regions being investigated. To explore potential roles between the TCR alpha locus and MS, we have genotyped a large family-based cohort, including 1360 affected individuals and 1659 of their unaffected first-degree relatives, at 40 single-nucleotide polymorphism (SNP) markers within the TCR alpha/delta locus. This represents the largest TCR alpha-MS study to date. From this screen, we identified three potential loci of interest in TCR alpha variable and constant gene regions using the transmission disequilibrium test. Although SNPs implicating each of these regions of interest will require genotyping in independent replication cohorts, these findings suggest a role for TCR gene polymorphisms in MS susceptibility. In the context of these findings we review the evidence.