ReviewProceedings of the American Thoracic Society2011
Genetics of complex airway disease.
Review in Proceedings of the American Thoracic Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Prevalence of therapeutic use exemptions at the Olympic Games and association with medals: an analysis of data from 2010 to 2018.British journal of sports medicine · 2020Article
- Inter- and transgenerational epigenetic inheritance: evidence in asthma and COPD?Clinical epigenetics · 2015Article
- IL-4 receptor alpha single-nucleotide polymorphisms rs1805010 and rs1801275 are associated with increased risk of asthma in a Saudi Arabian population.Annals of thoracic medicine · 2014Article
- Asthma: Gln27Glu and Arg16Gly polymorphisms of the beta2-adrenergic receptor gene as risk factors.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2014Article
- Epistatic effects of multiple receptor genes on pathophysiology of asthma - its limits and potential for clinical application.Medical science monitor : international medical journal of experimental and clinical research · 2014Review
- Article
- Biomarkers in chronic obstructive pulmonary disease: confusing or useful?International journal of chronic obstructive pulmonary disease · 2014Review
- The biodiversity hypothesis and allergic disease: world allergy organization position statement.The World Allergy Organization journal · 2013Article
- Genes and chronic obstructive pulmonary disease.The Medical clinics of North America · 2012Review
- The clinical and environmental determinants of airway transcriptional profiles in allergic asthma.American journal of respiratory and critical care medicine · 2012Article
- CFTR regulates early pathogenesis of chronic obstructive lung disease in βENaC-overexpressing mice.PloS one · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The past 3 years have seen highly significant genetic effects identified for a wide variety of common complex diseases, including the airway disorders of asthma and chronic obstructive pulmonary disease. It appears that only a portion of the genetically mediated susceptibility to complex diseases has been identified, and there is much left to be discovered. This review briefly describes the results of the genome-wide association studies of asthma and gives an overview of the parallel and increasingly large-scale studies that are taking place with chronic obstructive pulmonary disease. The future impact is discussed of technological advances that allow increasingly large-scale gene expression studies, next-generation sequencing, and genome-wide testing for epigenetic effects. The use of genetic technology to examine the airway microbiota that interact with the mucosa in health and disease is described.
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What OpenQuestion holds
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.