Meta-analysis of genome-wide association studies of food allergy and IgE-sensitization

Abstract

Background: food allergies (FA) arise from a complex interplay between an individual’s genetic predisposition and environmental factors and their prevalence is increasing. Genome-wide association studies (GWAS) to date have been hindered by small sample sizes and varying FA definitions.

Objective: identify novel food allergy risk loci by conducting a GWAS meta-analysis in children and adults using a multi-phenotype approach to ensure the trade-off between sufficient sample size and valid FA definitions.

Methods: analyses were conducted separately in children and adults based on the following FA phenotypes: self-report, doctors-diagnosis, food-specific sensitization, and doctors-diagnosis plus food-specific sensitization. GWAS from up to 16 cohorts of European ancestry including 229,426 adults and 14,234 children were meta-analyzed. Models were adjusted for sex, age, principal components, and if applicable, further study-specific confounders. Sensitivity models were additionally adjusted for hay fever. Replication was conducted in additional external cohorts and a validation in oral food challenge-defined FA cases.

Results: 37 SNPs met suggestive significance (p-value < 1x10-6), with two reaching genome-wide significance: rs116936231 (FGL1) in adult doctors-diagnosed FA plus food-specific sensitization phenotype (stable after additional hay fever adjustment) and rs8022829 (AKAP6-NPAS3) which was significant only in the hay fever-adjusted model in adults. However, neither variant was validated. Further, we identified three SNPs previously reported for FA and atopic diseases.

Conclusion: this study identified 37 SNPs suggestively associated with FA and demonstrated genetic differences across phenotypes. It highlights the need for a unified FA definition and sheds light on its shared genetic architecture with allergies.

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