UNDERSTANDING THE PATHOGENESIS, PHENOTYPIC VARIATION AND RISK PREDICTION OF CHILDHOOD ASTHMA USING COMPUTATIONAL APPROACHES

Grant number: 1114753 | Funding period: 2016 - 2018

Completed

Abstract

Asthma is a common respiratory illness in Australia. It is important to be able to predict who gets asthma, because those who get early treatment tend to fare better. We plan to run complex tests on data collected from hundreds of Australian children. The collected data includes genetic variations, chest infections, and differences in immune responses. From this data we hope to achieve a better understanding of the driving forces behind asthma, and to make better predictions for those at risk.

Researchers