Science and Research

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

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.

  • Maier, L.
  • Sun, Y.
  • Kronberg, J.
  • Abner, E.
  • Estonian Biobank Research, Team
  • Coley, K.
  • Marenholz, I.
  • Weiss, S.
  • Foraita, R.
  • Karramass, T.
  • Mykkanen, J.
  • Hernandez-Pacheco, N.
  • Wang, C. A.
  • Kitaba, N. T.
  • Pechlivanis, S.
  • Bouzigon, E.
  • Tingskov Pedersen, C. E.
  • Schoos, A. M.
  • Curtin, J.
  • Kress, S.
  • Hernangomez-Laderas, A.
  • Foppiano, F.
  • Ashley, S.
  • Batini, C.
  • Bryant, L.
  • Homuth, G.
  • Gieger, C.
  • Gilles, S.
  • Lyytikainen, L. P.
  • Rovio, S.
  • Pahkala, K.
  • Vernet, R.
  • Valenta, R.
  • Llop, S.
  • Torrent, M.
  • Bock, A.
  • Tang, M. L. K.
  • Schmidt-Weber, C. B.
  • Metspalu, A.
  • Esko, T.
  • Sprikkelman, A. B.
  • John, C.
  • Lee, Y. A.
  • Beyer, K.
  • Volzke, H.
  • Pigeot, I.
  • Traidl-Hoffmann, C.
  • Duijts, L.
  • Lu, H.
  • Raitakari, O. T.
  • Lehtimaki, T.
  • Kahonen, M.
  • Tio, C. H. L.
  • Melen, E.
  • Pennell, C. E.
  • Holloway, J. W.
  • von Mutius, E.
  • Siroux, V.
  • Bonnelykke, K.
  • Custovic, A.
  • Simpson, A.
  • Schikowski, T.
  • Bilbao, J. R.
  • Schaub, B.
  • Peters, R.
  • Kersten, E. T. G.
  • Vonk, J. M.
  • Thiering, E.
  • Peters, A.
  • Koppelman, G. H.
  • Standl, M.

Keywords

  • epidemiology
  • food allergy
  • genome-wide association study
  • hay fever
  • meta-analysis
  • sensitization
  • specific IgE
Publication details
DOI: 10.1016/j.jaci.2026.02.012
Journal: J Allergy Clin Immunol
Work Type: Original
Location: CPC-M
Disease Area: AA
Partner / Member: HMGU, KUM
Access-Number: 41724405
See publication on PubMed


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