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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
A quantitative genetic analysis of intermediate asthma phenotypes.
S F Thomsen1, M A R Ferreira, K O Kyvik
1Department of Respiratory Medicine, Bispebjerg Hospital, Copenhagen, Denmark.
Allergy
|January 30, 2009
Summary
Genetic factors significantly influence asthma biomarkers like exhaled nitric oxide (FeNO) and immunoglobulin E (IgE). Environmental factors are more influential in airway responsiveness and obstruction, suggesting diverse asthma targets.
Area of Science:
- Respiratory medicine
- Human genetics
- Immunology
Background:
- Asthma is a complex respiratory condition with diverse clinical presentations.
- Biomarkers such as exhaled nitric oxide (FeNO), airway responsiveness, airway obstruction, and serum total immunoglobulin E (IgE) are used to characterize asthma.
- Understanding the etiological underpinnings of these biomarkers is crucial for targeted interventions.
Purpose of the Study:
- To investigate the relative contributions of genetic and environmental factors to key asthma-related biomarkers.
- To examine the genetic and environmental correlations between FeNO, airway responsiveness, airway obstruction, and serum total IgE.
Main Methods:
- A population-based twin study utilizing data from the Danish Twin Registry.
- Clinical examination and standardized measurements of FeNO, airway responsiveness, airway obstruction, and serum total IgE in 575 adult subjects.
- Latent factor modeling to analyze the heritability and shared variance components of the studied traits.
Main Results:
- Additive genetic factors accounted for a substantial portion of the variance in all measured traits, ranging from 22% for airway obstruction to 81% for serum total IgE.
- Significant genetic correlations were found between FeNO and serum total IgE (rhoA = 0.37).
- Environmental factors showed stronger correlations between airway responsiveness and airway obstruction (rhoE = -0.46), and between FeNO and airway responsiveness (rhoE = 0.34).
Conclusions:
- Asthma biomarkers exhibit distinct genetic and environmental etiological structures.
- The heterogeneity in biomarker origins suggests diverse therapeutic targets for asthma management.
- Further research into these distinct pathways can lead to more personalized asthma treatments.
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