Louise V. Wain
Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank
Wain, Louise V.; Shrine, Nick; Miller, Suzanne; Jackson, Victoria E.; Ntalla, Ioanna; Artigas, Mar�a Soler; Billington, Charlotte K.; Kheirallah, Abdul Kader; Allen, Richard; Cook, James P.; Probert, Kelly; Obeidat, Ma'en; Boss�, Yohan; Hao, Ke; Postma, Dirkje S.; Par�, Peter D.; Ramasamy, Adaikalavan; M�gi, Reedik; Mihailov, Evelin; Reinmaa, Eva; Mel�n, Erik; O'Connell, Jared; Frangou, Eleni; Delaneau, Olivier; Freeman, Colin; Petkova, Desislava; McCarthy, Mark; Sayers, Ian; Deloukas, Panos; Hubbard, Richard; Pavord, Ian; Hansell, Anna L.; Thomson, Neil C.; Zeggini, Eleftheria; Morris, Andrew P.; Marchini, Jonathan; Strachan, David P.; Tobin, Martin D.; Hall, Ian P.
Authors
Nick Shrine
Dr SUZANNE MILLER suzanne.miller@nottingham.ac.uk
Senior Clinical Studies and Project Manager
Victoria E. Jackson
Ioanna Ntalla
Mar�a Soler Artigas
Charlotte K. Billington
Abdul Kader Kheirallah
Richard Allen
James P. Cook
Kelly Probert
Ma'en Obeidat
Yohan Boss�
Ke Hao
Dirkje S. Postma
Peter D. Par�
Adaikalavan Ramasamy
Reedik M�gi
Evelin Mihailov
Eva Reinmaa
Erik Mel�n
Jared O'Connell
Eleni Frangou
Olivier Delaneau
Colin Freeman
Desislava Petkova
Mark McCarthy
Professor IAN SAYERS ian.sayers@nottingham.ac.uk
Professor of Respiratory Molecular Genetics
Panos Deloukas
RICHARD HUBBARD richard.hubbard@nottingham.ac.uk
Blf/Gsk Professor of Epidemiological Resp Research
Ian Pavord
Anna L. Hansell
Neil C. Thomson
Eleftheria Zeggini
Andrew P. Morris
Jonathan Marchini
David P. Strachan
Martin D. Tobin
Ian P. Hall
Abstract
Background
Understanding the genetic basis of airflow obstruction and smoking behaviour is key to determining the pathophysiology of chronic obstructive pulmonary disease (COPD). We used UK Biobank data to study the genetic causes of smoking behaviour and lung health.
Methods
We sampled individuals of European ancestry from UK Biobank, from the middle and extremes of the forced expiratory volume in 1 s (FEV1) distribution among heavy smokers (mean 35 pack-years) and never smokers. We developed a custom array for UK Biobank to provide optimum genome-wide coverage of common and low-frequency variants, dense coverage of genomic regions already implicated in lung health and disease, and to assay rare coding variants relevant to the UK population. We investigated whether there were shared genetic causes between different phenotypes defined by extremes of FEV1. We also looked for novel variants associated with extremes of FEV1 and smoking behaviour and assessed regions of the genome that had already shown evidence for a role in lung health and disease. We set genome-wide significance at p
Journal Article Type | Article |
---|---|
Publication Date | Oct 1, 2015 |
Deposit Date | Apr 5, 2016 |
Publicly Available Date | Apr 5, 2016 |
Journal | Lancet Respiratory Medicine |
Print ISSN | 2213-2600 |
Electronic ISSN | 2213-2619 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 10 |
DOI | https://doi.org/10.1016/S2213-2600%2815%2900283-0 |
Public URL | https://nottingham-repository.worktribe.com/output/982035 |
Publisher URL | http://dx.doi.org/10.1016/S2213-2600(15)00283-0 |
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Wain Lancet Respiratory 2015 suppl.pdf
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
Wain Lancet Respiratory 2015.pdf
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PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
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