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Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls

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posted on 2017-01-17, 11:51 authored by María Soler Artigas, Louise V. Wain, Nick Shrine, T. M. McKeever, UK BiLEVE, I. Sayers, I. P. Hall, Martin D. Tobin
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.

Funding

The research undertaken by M.D.T., M.S.A., L.V.W. and N.S. was partly funded by the National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. M.D.T. holds a Medical Research Council Senior Clinical Fellowship (G0902313). This research used the ALICE High Performance Computing Facility at the University of Leicester. I.P.H. holds a Medical Research Council programme grant (G1000861). The UK BiLEVE study was funded by a Medical Research Council (MRC) strategic award to M.D.T., I.P.H., L.V.W. and David Strachan (MC_PC_12010). UK BiLEVE members are: Louise V Wain, Nick Shrine, Victoria E Jackson, Ioanna Ntalla, María Soler Artigas, Panos Deloukas, Richard Hubbard, Ian Pavord, Anna Hansell, Neil C Thomson, Eleftheria Zeggini, Andrew P Morris, Jonathan Marchini, David Strachan, Martin D Tobin, and Ian P Hall. This research has been conducted using the UK Biobank Resource under Application Number 648. This study makes use of data generated by the UK10K Consortium (www.UK10K.org).

History

Citation

PLoS One 2017 12(1): e0170222.

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciences

Version

  • VoR (Version of Record)

Published in

PLoS One 2017 12(1): e0170222.

Publisher

Public Library of Science

issn

1932-6203

Acceptance date

2017-01-13

Copyright date

2017

Available date

2017-02-23

Publisher version

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170222

Language

en

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