HDR Gateway logo
HDR Gateway logo

Bookmarks

UK BiLEVE Consortium Dataset

Population Size

Not reported

Years

2007 - 2019

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

Lead time

Less than 1 week

Summary

This project aims to leverage the power of UK Biobank to detect rare genetic variants associated with lung function.

Documentation

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.

Dataset type
Health and disease
Dataset sub-type
Not applicable

Keywords

GWAS, LUNG FUNCTION, COPD, UKBiLEVE, UK BIOBANK, BREATHE

Provenance

Purpose of dataset collection
Study
Source of data extraction
EPR
Collection source setting
Other
Patient pathway description
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)
Image contrast
Not stated
Biological sample availability
None/not available

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Distribution release date

25/02/2019

Citation Requirements
UK BiLEVE Consortium. Please cite Wain et al 2015, doi: 10.1016/S2213-2600(15)00283-0

Coverage

Start date

01/01/2007

End date

02/01/2019

Time lag
Not applicable
Geographic coverage
United Kingdom
Minimum age range
40
Maximum age range
69
Follow-up

10 Years

Accessibility

Language
en
Controlled vocabulary
LOCAL
Format
Tab delimited text

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
Less than 1 week
Access request cost
No cost to access full GWAS Summary statistics (https://www.ebi.ac.uk/gwas/publications/26423011)
Access method category
Direct access
Access service description
Available as a flat file for researchers to download.
Data use limitation
General research use
Data Controller
Department of Health Sciences, University of Leicester, UK
Data Processor
Department of Health Sciences, University of Leicester, UK

Dataset Types: Health and disease


Collection Sources: Other