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UK BiLEVE Consortium Dataset

Population Size

Not reported
Population Size statistic card

Years

2007 - 2019

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Geographic coverage statistic card

Lead time

Less than 1 week

Lead time statistic card

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

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

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