Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
https://www.nature.com/articles/s41588-018-0321-7
Lung function is an important indicator of respiratory health and mortality. Measures of lung function show irreversible airway obstruction in chronic obstructive pulmonary disease (COPD), a progressive condition affecting 900,000 people in the UK. Smoking is a strong risk factor for COPD but not all smokers are equally susceptible. Genetic approaches to understanding the mechanisms underlying the maintenance of good lungs aim to reveal previously unknown molecular targets for drug development and to facilitate stratified approaches to treatment and care. This project aims to detect rare genetic variants associated with lung function. Once discovered, such variants tend to exert a large effect on disease risk and provide a means to translate findings from genetic studies of lung function to clinical relevant research and development. The proposed study leverages the power of Uk Biobank and respiratory genomics to advance understanding of lung function and COPD.
Coverage
Spatial:
United Kingdom
Typical Age Range:
40-69
Follow Up:
> 10 Years
Pathway:
UK Biobank broadly representative general population (with caveats explained in
UK Biobank publications), cases and controls were defined from extremes and the
middle of the % predicted FEV1 distribution among never-smokers and heavy
smokers (defined from UK Biobank baseline spirometry and total (pack-years)
smoking exposure)
Provenance
Origin
Purposes:
Study
Sources:
EPR
Collection Situations:
Other
Temporal
Accrual Periodicity:
Static
Distribution Release Date:
25 February 2019
Start Date:
01 January 2007
End Date:
02 January 2019
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Access Service:
Available as a flat file for researchers to download.
Access Request Cost:
No cost to access full GWAS Summary statistics
(https://www.ebi.ac.uk/gwas/publications/26423011)
Delivery Lead Time:
Not applicable
Data Controller:
Department of Health Sciences, University of Leicester, UK
Data Processor:
Department of Health Sciences, University of Leicester, UK
Usage
Data Use Limitations:
General research use
Resource Creators:
UK BiLEVE Consortium. Please cite Wain et al 2015, doi: 10.1016/S2213-2600(15)00283-0
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
Tab delimited text