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Updated: Jul 15, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
Published on: August 21, 2016
Genetic variants underpinning lung function decline in the Lifelines general population cohort study.
Rui Marçalo1,2,3,4, Corry-Anke Brandsma4,5, Peter J van der Most6
1Genome Medicine Lab, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Genetic factors influence age-related lung function decline. A genome-wide association study identified a novel variant, rs150094594, significantly linked to lung function changes over time.
Area of Science:
- Genetics
- Pulmonology
- Aging Research
Background:
- Age-related lung function decline is influenced by genetic and environmental factors.
- Understanding genetic contributions is crucial for identifying susceptibility and interventions.
- The Lifelines cohort study provides a valuable resource for investigating these genetic factors.
Purpose of the Study:
- To identify genetic variants associated with the rate of lung function decline.
- To explore the genetic underpinnings of individual differences in lung aging.
- To leverage large-scale cohort data for genetic discovery in lung function changes.
Main Methods:
- Utilized longitudinal spirometry data from 24,749 subjects over ~15 years.
- Employed linear mixed-effects models to estimate lung function change.
- Conducted a genome-wide association study (GWAS) and meta-analysis of selected single-nucleotide polymorphisms (SNPs).
Main Results:
- Identified 67 variants suggestively associated with lung function decline (p<1×10⁻⁵).
- A novel intergenic variant, rs150094594, reached genome-wide significance (p=3.9×10⁻⁹) for lung function decline.
- This variant demonstrated a consistent effect direction in replication cohorts.
Conclusions:
- Genetics plays a significant role in age-related lung function decline.
- Highlights the importance of investigating gene-environment interactions in lung aging.
- The identified variant rs150094594 offers a new target for understanding lung function trajectories.
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