Rationale: Variations in age-related lung function decline are associated with genetic and environmental factors. The genetic variants contributing to this decline remain largely unknown, limiting the understanding of individual susceptibility and potential interventions. This study aims to uncover the genetic factors associated with lung function decline, using the Lifelines cohort study.
Methods: Longitudinal data covering three visits over approximately 15 years were available. Genotyping and longitudinal spirometry data were present for 24 749 subjects aged 25 years or older at baseline. A three-step approach was used. First, lung function change over time was estimated using a linear mixed-effects model. Second, a genome-wide association study for the estimated change was conducted, adjusting for age, sex, smoking load and the first 10 principal components. Third, single-nucleotide polymorphisms (SNPs) with p-value<1×10-5 were analysed using a linear mixed-effects model. Selected SNPs were tested in two independent cohorts (n=1376 and n=27 249), followed by meta-analysis.
Measurements and main results: Among the included individuals, 19 722 had spirometry at two time points and 5027 at three, with median (IQR) follow-up of 8.1 (4.4-10.4) and 12.1 (11-13.6) years, respectively. We identified 67 variants suggestively associated with lung function decline (p<1×10-5). Rs150094594, was significant (p=0.007) in a replication cohort with consistent effect direction. This intergenic variant, not previously reported, reached genome-wide significance in the meta-analysis (rs150094594:T, β (se): 15.9 (2.7) mL·y-1, p-value=3.9×10-9).
Conclusions: This study shows a role of genetics in lung function decline, emphasising the importance of exploring the interplay between genetic and environmental factors.