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Integration of gene expression, clinical, and demographic information in relation to asthma status to identify biomarkers associated with subtypes of childhood asthma
Citation:
WILLIAMS, C., D. REIF, S. W. EDWARDS, B. HEIDENFELDER, E. E. HUDGENS, L. M. NEAS, E. A. COHEN-HUBAL, AND J. GALLAGHER. Integration of gene expression, clinical, and demographic information in relation to asthma status to identify biomarkers associated with subtypes of childhood asthma. Presented at Accelerating Development and Advancing Personalized Therapy 2009: Biomarker Data Analysis, Washington DC, DC, September 22 - 25, 2009.
Impact/Purpose:
Studies such as this may shed light on biomarkers of childhood ashtma as well as interaction eefects of environmental factors on those biomarkers ultimately leading to better diagnosis, management, and treatment of childhood asthma as well as better informed risk assessment.
Description:
Advances in biomarker development have improved our ability to detect early changes at the molecular, cellular, and pre-clinical level that are often predictive of adverse health outcomes. Biomarkers for monitoring the underlying molecular mechanisms of disease are of increasing importance as risk assessment relies more substatially on mode of action. This study focuses on asthma because it is a multifactorial disease that is complicated by the complex relationship between genetic susceptibility and modulating environmental factors.