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Targeted sequencing of lung function loci in chronic obstructive pulmonary disease cases and controls

Artigas, Mar�a Soler; Wain, Louise V.; Shrine, Nick; McKeever, Tricia M.; Sayers, Ian; Hall, Ian P.; Tobin, Martin D.

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Authors

Mar�a Soler Artigas

Louise V. Wain

Nick Shrine

TRICIA MCKEEVER tricia.mckeever@nottingham.ac.uk
Professor of Epidemiology and Medical Statistics

IAN HALL IAN.HALL@NOTTINGHAM.AC.UK
Professor of Molecular Medicine

Martin D. Tobin



Contributors

Kelvin Yuen Kwong Chan
Editor

Abstract

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide; smoking is the main risk factor for COPD, but genetic factors are also relevant contributors. Genome-wide association studies (GWAS) of the lung function measures used in the diagnosis of COPD have identified a number of loci, however association signals are often broad and collectively these loci only explain a small proportion of the heritability. In order to examine the association with COPD risk of genetic variants down to low allele frequencies, to aid fine-mapping of association signals and to explain more of the missing heritability, we undertook a targeted sequencing study in 300 COPD cases and 300 smoking controls for 26 loci previously reported to be associated with lung function. We used a pooled sequencing approach, with 12 pools of 25 individuals each, enabling high depth (30x) coverage per sample to be achieved. This pooled design maximised sample size and therefore power, but led to challenges during variant-calling since sequencing error rates and minor allele frequencies for rare variants can be very similar. For this reason we employed a rigorous quality control pipeline for variant detection which included the use of 3 independent calling algorithms. In order to avoid false positive associations we also developed tests to detect variants with potential batch effects and removed them before undertaking association testing. We tested for the effects of single variants and the combined effect of rare variants within a locus. We followed up the top signals with data available (only 67% of collapsing methods signals) in 4,249 COPD cases and 11,916 smoking controls from UK Biobank. We provide suggestive evidence for the combined effect of rare variants on COPD risk in TNXB and in sliding windows within MECOM and upstream of HHIP. These findings can lead to an improved understanding of the molecular pathways involved in the development of COPD.

Citation

Artigas, M. S., Wain, L. V., Shrine, N., McKeever, T. M., Sayers, I., Hall, I. P., & Tobin, M. D. (2017). Targeted sequencing of lung function loci in chronic obstructive pulmonary disease cases and controls. PLoS ONE, 12(1), Article e0170222. https://doi.org/10.1371/journal.pone.0170222

Journal Article Type Article
Acceptance Date Jan 1, 2017
Online Publication Date Jan 23, 2017
Publication Date Jan 23, 2017
Deposit Date Jan 30, 2017
Publicly Available Date Jan 30, 2017
Journal PLOS ONE
Electronic ISSN 1932-6203
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 12
Issue 1
Article Number e0170222
DOI https://doi.org/10.1371/journal.pone.0170222
Public URL https://nottingham-repository.worktribe.com/output/839310
Publisher URL http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170222

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