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Unsupervised modeling and genome-wide association identify novel features of allergic march trajectories - 04/02/21

Doi : 10.1016/j.jaci.2020.06.026 
Stanislaw J. Gabryszewski, MD, PhD a, , Xiao Chang, PhD b, , Jesse W. Dudley, MS c, Frank Mentch, PhD b, Michael March, PhD b, John H. Holmes, PhD d, Jason Moore, PhD d, Robert W. Grundmeier, MD c, e, Hakon Hakonarson, MD, PhD b, e, f, David A. Hill, MD, PhD a, e, g,
a Division of Allergy and Immunology, Children’s Hospital of Philadelphia, Philadelphia, Pa 
b Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, Pa 
c Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pa 
d Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa 
e Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa 
f Division of Pulmonary Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pa 
g Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa 

Corresponding author: David A. Hill, MD, PhD, Division of Allergy and Immunology, Children’s Hospital of Philadelphia, Abramson Research Building, 1208B, 3615 Civic Center Blvd, Philadelphia, PA 19104.Division of Allergy and ImmunologyChildren’s Hospital of PhiladelphiaAbramson Research Building1208B3615 Civic Center BlvdPhiladelphiaPA19104

Abstract

Background

The allergic march refers to the natural history of allergic conditions during infancy and childhood. However, population-level disease incidence patterns do not necessarily reflect the development of allergic disease in individuals. A better understanding of the factors that predispose to different allergic trajectories is needed.

Objective

Our aim was to determine the demographic and genetic features that are associated with the major allergic march trajectories.

Methods

Presence or absence of common allergic conditions (atopic dermatitis [AD], IgE-mediated food allergy [IgE-FA], asthma, and allergic rhinitis [AR]) was ascertained in a pediatric primary care birth cohort of 158,510 subjects. Hierarchic clustering and decision tree modeling were used to associate demographic features with allergic outcomes. Genome-wide association study was used to test for risk loci associated with specific allergic trajectories.

Results

We found an association between self-identified black race and progression from AD to asthma. Conversely, Asian or Pacific Islander race was associated with progression from AD to IgE-mediated food allergy, and white race was associated with progression from AD to AR. Genome-wide association study of trajectory groups identified risk loci associated with progression from AD to asthma (rs60242841) and from AD to AR (rs9565267, rs151041509, and rs78171803). Consistent with our epidemiologic associations, rs60242841 was more common in individuals of African ancestry than in individuals of European ancestry, whereas rs9565267 and rs151041509 were more common in individuals of European ancestry than in individuals of African ancestry.

Conclusion

We have identified novel associations between race and progression along distinct allergic trajectories. Ancestral genetic differences may contribute to these associations. These results uncover important health disparities, refine the concept of the allergic march, and represent a step toward developing individualized medical approaches for these conditions.

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Graphical abstract




Le texte complet de cet article est disponible en PDF.

Key words : Atopic march, allergic march, allergic trajectory, atopic dermatitis, IgE-mediated food allergy, asthma, allergic rhinitis, epidemiology, genome-wide association study

Abbreviations used : AD, AR, CHOP, GWAS, ICD, IgE-FA, MAF, SNP, TOPMed, UKB


Plan


 Supported by the National Institutes of Health (grants DK116668 [to D.A.H.], LM010098 [to J.M.], AI116794 [to J.M.], and LM012601 [to J.M.]); the Children’s Hospital of Philadelphia Endowed Chair in Genomic Research (to H.H.); the American College of Allergy, Asthma, and Immunology (to D.A.H.); the American Academy of Allergy, Asthma, and Immunology (to D.A.H.); the American Partnership for Eosinophilic Disorders (to D.A.H.); and the Children’s Hospital of Philadelphia Research Institute Developmental awards to the Hill Lab and the Center for Applied Genomics (to H.H.). The content of this work is the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
 Disclosure of potential conflict of interest: The authors declare that they have no relevant conflicts of interest.


© 2020  American Academy of Allergy, Asthma & Immunology. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 147 - N° 2

P. 677 - février 2021 Retour au numéro
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