Allergy Risk Finder: Hypothesis Generation System for Allergy Risks via Web Service

Area of Science:

• Environmental health
• Computational biology
• Allergen research

Background:

• Identifying novel allergy risks remains a significant public health challenge.
• Crowdsourcing offers a scalable approach to gather hypotheses on potential environmental allergens.
• Existing methods for allergy risk assessment often lack comprehensive data on emerging risks.

Purpose of the Study:

• To develop a web service for automated collection and testing of allergy risk hypotheses.
• To leverage crowdsourcing for identifying unknown allergy risks and obtaining associated odds ratios.
• To create a user-friendly tool for estimating individual allergy risks and gathering new research hypotheses.

Main Methods:

• Crowdsourcing unknown allergy risks through a public platform.
• Calculating odds ratios for identified allergy risk factors.
• Developing a 10-question web-based questionnaire for allergy risk estimation.
• Incorporating user-submitted hypotheses into the research database.

Main Results:

• Successfully crowdsourced a dataset of potential allergy risks.
• Developed a functional web service for allergy risk assessment and hypothesis generation.
• Collected user-generated hypotheses to further investigate allergy causes.
• Obtained preliminary odds ratios for several potential allergy risks.

Conclusions:

• The developed web service provides a novel approach to allergy research by integrating crowdsourcing and automated hypothesis testing.
• The findings highlight the potential of citizen science in identifying and understanding allergy risks.
• Further clinical validation is recommended to confirm the identified allergy risk hypotheses.