A meta-analysis of genome-wide association studies for serum total IgE in diverse study populations
BACKGROUND: IgE is both a marker and mediator of allergic inflammation. Despite reported differences in serum total IgE levels by race-ethnicity, African American and Latino subjects have not been well represented in genetic studies of total IgE. OBJECTIVE: We sought to identify the genetic predictors of serum total IgE levels. METHODS: We used genome-wide association data from 4292 subjects (2469 African Americans, 1564 European Americans, and 259 Latinos) in the EVE Asthma Genetics Consortium. Tests for association were performed within each cohort by race-ethnic group (ie, African American, Latino, and European American) and asthma status. The resulting P values were meta-analyzed, accounting for sample size and direction of effect. Top single nucleotide polymorphism associations from the meta-analysis were reassessed in 6 additional cohorts comprising 5767 subjects. RESULTS: We identified 10 unique regions in which the combined association statistic was associated with total serum IgE levels (P < 5.0 × 10(-6)) and the minor allele frequency was 5% or greater in 2 or more population groups. Variant rs9469220, corresponding to HLA-DQB1, was the single nucleotide polymorphism most significantly associated with serum total IgE levels when assessed in both the replication cohorts and the discovery and replication sets combined (P = .007 and 2.45 × 10(-7), respectively). In addition, findings from earlier genome-wide association studies were also validated in the current meta-analysis. CONCLUSION: This meta-analysis independently identified a variant near HLA-DQB1 as a predictor of total serum IgE levels in multiple race-ethnic groups. This study also extends and confirms the findings of earlier genome-wide association analyses in African American and Latino subjects.
Available from: Zengnan Mo
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ABSTRACT: Immunoglobulin E (IgE) provides important information on the humoral immune status, and the IgE level is routinely detected in clinical practice. There are many diseases associated with IgE, such as atopic disease, autoimmune diseases, and so on. IgE is a genetically complex trait, but comprehensive genetic assessment of the variability in serum IgE levels is lacking. Previous genome-wide association studies (GWAS) on total serum IgE levels have identified FCER1A as the susceptibility locus; however, the candidate gene association study in southern Chinese patients reported no association. Given the genetic difference in different populations, we firstly conducted this two-stage GWAS in a Chinese population of 3,495 men, including 1,999 unrelated subjects in the first stage and 1,496 independent individuals replicated in the second stage. In the first stage, we totally identified three single nucleotide polymorphisms (SNPs) which reached a P value of 1.0 × 10(-5). Rs17090302 on chromosome 3 and Rs28708846 on chromosome 13 are intergenic. Rs432085 from chromosome 3p28 is located in the gene CCDC50. When the two-stage data was combined, none of the SNPs reached the genome-wide significant level. Collectively, we did not identify novel loci associated with the serum IgE level in Chinese males, but we hypothesized that CCDC50 was a candidate gene in regulation on IgE level.
Available from: plosone.org
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ABSTRACT: Immunoglobulin E (IgE) is one of the central players in asthma and allergic diseases. Although the serum IgE level, a useful endophenotype, is generally increased in patients with asthma, genetic factors influencing IgE regulation in asthma are still not fully understood. To identify the genetic variations associated with total serum and mite-specific IgEs in asthmatics, a genome-wide association study (GWAS) of 657,366 single nucleotide polymorphisms (SNPs) was performed in 877 Korean asthmatics. This study found that several new genes might be associated with total IgE in asthmatics, such as CRIM1 (rs848512, P = 1.18×10(-6); rs711254, P = 6.73×10(-6)), ZNF71 (rs10404342, P = 7.60×10(-6)), TLN1 (rs4879926, P = 7.74×10(-6)), and SYNPO2 (rs1472066, P = 8.36×10(-6); rs1038770, P = 8.66×10(-6)). Regarding the association of specific IgE to house dust mites, it was observed that intergenic SNPs nearby to OPRK1 and LOC730217 might be associated with Dermatophagoides pteronyssinus (D.p.) and Dermatophagoides farinae (D.f.) in asthmatics, respectively. In further pathway analysis, the phosphatidylinositol signaling system and adherens junction pathways were estimated to play a role in the regulation of total IgE levels in asthma. Although functional evaluations and replications of these results in other populations are needed, this GWAS of serum IgE in asthmatics could facilitate improved understanding of the role of the newly identified genetic variants in asthma and its related phenotypes.
Available from: Gabrielle A Lockett
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ABSTRACT: A large number of genetic loci contribute towards an individual's susceptibility to asthma and other complex diseases. Genome-wide association studies (GWASs) have provided us with a wealth of loci associated with asthma susceptibility, asthma endotypes and responsiveness to asthma medications. The reproducibility of these genetic loci across different studies highlights the interplay of general and population-specific risk alleles in asthma. Although GWASs have been successful in identifying disease-associated loci, there is still large potential for such studies to provide further insights into asthma pathogenesis.
GWASs over the past year have extended study design well beyond the simple case-control and continuous phenotype association formats, for example, including interactions with environmental factors, integrating GWAS data with epigenetic data and GWASs in animal models, incorporating pathway analyses and utilising emerging sequencing technologies.
Moving beyond traditional GWAS formats is likely to significantly enhance our understanding of the genetic basis for asthma. This review discusses where we are after half a decade of asthma GWASs, and focuses on advances over the past year that show where the GWAS field is headed in the future.
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