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Asthma-Genomic Advances Toward Risk Prediction.
Esther Herrera-Luis1, Mario Martin-Almeida2, Maria Pino-Yanes3
1Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe Street, Baltimore, MD 21205, USA.
Clinics in Chest Medicine
|July 28, 2024
Summary
Understanding asthma genetics is key for predicting disease risk and severe outcomes. Advances in genomics offer insights, but challenges remain in applying these findings to clinical practice for better asthma management.
Area of Science:
- Genomics
- Pulmonology
- Translational Medicine
Background:
- Asthma is a prevalent complex airway disease requiring accurate risk prediction for effective clinical management.
- Genomic studies have significantly advanced our understanding of asthma's genetic underpinnings.
Purpose of the Study:
- To review the latest findings in asthma genomics.
- To identify obstacles in translating genomic discoveries into clinical practice for asthma prediction and management.
Main Methods:
- Review of recent literature on asthma genomics.
- Analysis of challenges in translational medicine for genetic risk prediction.
Main Results:
- Genome-wide association studies (GWAS) have identified numerous genetic variants associated with asthma.
- Key challenges include lack of diverse representation in studies, need for functional characterization of variants, and refining prediction models.
Conclusions:
- Genomic insights are crucial for improving asthma prediction and clinical management.
- Addressing current obstacles is essential for advancing translational medicine in asthma care.
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