Unsupervised modeling and genome-wide association identify novel features of allergic march trajectories.

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 as

SUBMITTER: Gabryszewski SJ 

PROVIDER: S-EPMC7790850 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature