Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12

Victoria E. Jackson, Ioanna Ntalla, Ian Sayers, Richard Morris, Peter Whincup, Juan-Pablo Casas, Antoinette Amuzu, Minkyoung Choi, Caroline Dale, Meena Kumari, Jorgen Engmann, Noor Kalsheker, Sally Chappell, Tamar Guetta-Baranes, Tricia M. McKeever, Colin N. A. Palmer, Roger Tavendale, John W. Holloway, Avan A. Sayer, Elaine M. DennisonCyrus Cooper, Mona Bafadhel, Bethan Barker, Chris Brightling, Charlotte E. Bolton, Michelle E. John, Stuart G. Parker, Miriam F. Moffat, Andrew J. Wardlaw, Martin J. Connolly, David J. Porteous, Blair H. Smith, Sandosh Padmanabhan, Lynne Hocking, Kathleen E. Stirrups, Panos Deloukas, David P. Strachan, Ian P. Hall, Martin D. Tobin, Louise V. Wain

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BACKGROUND: Several regions of the genome have shown to be associated with COPD in genome-wide association studies of common variants.

OBJECTIVE: To determine rare and potentially functional single nucleotide polymorphisms (SNPs) associated with the risk of COPD and severity of airflow limitation.

METHODS: 3226 current or former smokers of European ancestry with lung function measures indicative of Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2 COPD or worse were genotyped using an exome array. An analysis of risk of COPD was carried out using ever smoking controls (n=4784). Associations with %predicted FEV1 were tested in cases. We followed-up signals of interest (p<10(-5)) in independent samples from a subset of the UK Biobank population and also undertook a more powerful discovery study by meta-analysing the exome array data and UK Biobank data for variants represented on both arrays.

RESULTS: Among the associated variants were two in regions previously unreported for COPD; a low frequency non-synonymous SNP in MOCS3 (rs7269297, pdiscovery=3.08×10(-6), preplication=0.019) and a rare SNP in IFIT3, which emerged in the meta-analysis (rs140549288, pmeta=8.56×10(-6)). In the meta-analysis of % predicted FEV1 in cases, the strongest association was shown for a splice variant in a previously unreported region, SERPINA12 (rs140198372, pmeta=5.72×10(-6)). We also confirmed previously reported associations with COPD risk at MMP12, HHIP, GPR126 and CHRNA5. No associations in novel regions reached a stringent exome-wide significance threshold (p<3.7×10(-7)).

CONCLUSIONS: This study identified several associations with the risk of COPD and severity of airflow limitation, including novel regions MOCS3, IFIT3 and SERPINA12, which warrant further study.

Original languageEnglish
Pages (from-to)501-509
Number of pages9
Issue number6
Early online date25 Feb 2016
Publication statusPublished - Jun 2016

Bibliographical note

British Women’s Heart and Health Study is funded by the Department of Health grant no. 90049 and the British Heart Foundation grant no. PG/09/022. British Regional Heart Study is supported by the British Heart Foundation (grant RG/13/16/30528). CB (COPDBEAT) received funding from the Medical Research Council UK (grant no. G0601369), CB (COPDBEAT) and AJW (UKCOPD) were supported by the National Institute for Health Research (NIHR Leicester Biomedical Research Unit). MB (COPDBEAT) received funding from the NIHR (grant no. PDF-2013-06-052). Hertfordshire Cohort Study received support from the Medical Research Council, Arthritis Research UK, the International Osteoporosis Foundation and the British Heart Foundation; NIHR Biomedical Research Centre in Nutrition, University of Southampton; NIHR Musculoskeletal Biomedical Research Unit, University of Oxford. Generation Scotland: Scottish Family Health Study is funded by the Chief Scientist Office, Scottish Government Health Directorates, grant number CZD/16/6 and the Scottish Funding Council grant HR03006. EU COPD Gene Scan is funded by the European Union, grant no. QLG1-CT-2001-01012. English Longitudinal Study of Aging is funded by the Institute of Aging, NIH grant No. AG1764406S1. GoDARTs is funded by the Wellcome Trust grants 072960, 084726 and 104970. MDT has been supported by MRC fellowship G0902313. UK Biobank Lung Exome Variant Evaluation study was funded by a Medical Research Council strategic award to MDT, IPH, DPS and LVW (MC_PC_12010).

This research used the ALICE and SPECTRE High Performance Computing Facilities at the University of Leicester and was supported by the National Institute for Health Research (NIHR) Leicester Respiratory Biomedical Research Unit. This article/paper/report presents independent research funded partially by the NIHR. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. This research has been conducted using the UK Biobank Resource.


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