ArticleThe Journal of allergy and clinical immunology2012
Genome-wide association study of lung function decline in adults with and without asthma.
Article in The Journal of allergy and clinical immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 4 syntheses or guidelines pooled it, 110 citations in OpenAlex.
- Multi-ancestry genome-wide association study and meta-analysis of lung function decline.Respiratory research · 2026Pooled it
- Exploiting meta-analysis of genome-wide interaction with serum 25-hydroxyvitamin D to identify novel genetic loci associated with pulmonary function.The American journal of clinical nutrition · 2024Pooled it
- Mitochondrial DNA variants and pulmonary function in older persons.Experimental gerontology · 2019Pooled it
- Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.PloS one · 2014Pooled it
- Genetic variation in uncontrolled childhood asthma despite ICS treatment.The pharmacogenomics journal · 2016Trial
- Genetic background influences developmental airway smooth muscle program and susceptibility to airway hyperresponsiveness in mice.JCI insight · 2026Article
- Genetic background and transient prenatal disruption of vitamin A signaling determine susceptibility to airway hyperresponsiveness in mice.bioRxiv : the preprint server for biology · 2025Article
- Genome wide interaction study of genetic variants associated with lung function decline.Scientific reports · 2025Article
- Peripheral blood miRNAs are associated with airflow below threshold in children with asthma.Respiratory research · 2025Article
- Genome-wide analysis in northern Chinese twins identifies twelve new susceptibility loci for pulmonary function.BMC genomics · 2024Article
- Evaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES).BMC bioinformatics · 2024Article
- Multi-omic association study identifies DNA methylation-mediated genotype and smoking exposure effects on lung function in children living in urban settings.PLoS genetics · 2023Article
- Genome-Wide Association Study of Fluorescent Oxidation Products Accounting for Tobacco Smoking Status in Adults from the French EGEA Study.Antioxidants (Basel, Switzerland) · 2022Article
- Swiss Cohort & Biobank - The White Paper.Public health reviews · 2022Article
- An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism.Scientific reports · 2021Article
- Causal Effects of Body Mass Index on Airflow Obstruction and Forced Mid-Expiratory Flow: A Mendelian Randomization Study Taking Interactions and Age-Specific Instruments Into Consideration Toward a Life Course Perspective.Frontiers in public health · 2021Article
- Article
- Progressive effects of single-nucleotide polymorphisms on 16 phenotypic traits based on longitudinal data.Genes & genomics · 2020Article
- Gene discovery for high-density lipoprotein cholesterol level change over time in prospective family studies.Atherosclerosis · 2020Article
- Insights into the aetiology of snoring from observational and genetic investigations in the UK Biobank.Nature communications · 2020Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors at 20 institutions in 9 countries.
Funding
Abstract
backgroundGenome-wide association studies have identified determinants of chronic obstructive pulmonary disease, asthma, and lung function level; however, none have addressed decline in lung function.
objectiveWe conducted the first genome-wide association study on the age-related decrease in FEV(1) and its ratio to forced vital capacity (FVC) stratified a priori by asthma status.
methodsDiscovery cohorts included adults of European ancestry (1,441 asthmatic and 2,677 nonasthmatic participants: the Epidemiological Study on the Genetics and Environment of Asthma, the Swiss Cohort Study on Air Pollution and Lung and Heart Disease in Adults, and the European Community Respiratory Health Survey). The associations of FEV(1) and FEV(1)/FVC ratio decrease with 2.5 million single nucleotide polymorphisms (SNPs) were estimated. Thirty loci were followed up by in silico replication (1,160 asthmatic and 10,858 nonasthmatic participants: Atherosclerosis Risk in Communities, the Framingham Heart Study, the British 1958 Birth Cohort, and the Dutch Asthma Study).
resultsMain signals identified differed between asthmatic and nonasthmatic participants. None of the SNPs reached genome-wide significance. The association between the height-related gene DLEU7 and FEV(1) decrease suggested for nonasthmatic participants in the discovery phase was replicated (discovery, P = 4.8 × 10(-6); replication, P = .03), and additional sensitivity analyses point to a relation to growth. The top ranking signal, TUSC3, which is associated with FEV(1)/FVC ratio decrease in asthmatic participants (P = 5.3 × 10(-8)), did not replicate. SNPs previously associated with cross-sectional lung function were not prominently associated with decline.
conclusionsGenetic heterogeneity of lung function might be extensive. Our results suggest that genetic determinants of longitudinal and cross-sectional lung function differ and vary by asthma status.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.