Pollen – Understanding Socioeconomic, Genetic, and Clinical Risk Factors for Ragweed Allergic Rhinitis to Improve Disease Prediction and Control

Status Ongoing
Start date 2024
Location Quebec
Researcher Noisel, Nolwenn
Associated institution Université de Montréal
Summary

Ragweed produces highly allergenic pollen responsible for most cases of allergic rhinitis in Quebec, affecting about one in five people and worsening with climate change. Many aspects of this condition remain poorly understood, including differences by sex, age, and comorbidities such as asthma.
This project aims to identify the socioeconomic, biological, environmental, and genetic factors that increase the risk of ragweed‑related allergic rhinitis. CARTaGENE data, combined with CANUE environmental data and medical records, will provide a comprehensive picture of the disease’s determinants.
A machine‑learning predictive model will then be developed to better estimate individual risk and help inform public health actions to reduce the health and social impacts of this widespread allergy.

Themes
  • Chronic diseases
  • Environment and lifestyle
  • Public health and epidemiology
Data types
  • Biochemical and hematological data
  • Genetic data
  • Linked data
  • Physical and cognitive measures
  • Questionnaire data