Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12
AuthorJackson, VE; Ntalla, I; Sayers, I; Morris, R; Whincup, P; Casas, J-P; Amuzu, A; Choi, M; Dale, C; Kumari, M; ...
PublisherBMJ PUBLISHING GROUP
University of Melbourne Author/sJackson, Victoria
AffiliationMedical Biology (W.E.H.I.)
Document TypeJournal Article
CitationsJackson, V. E., Ntalla, I., Sayers, I., Morris, R., Whincup, P., Casas, J. -P., Amuzu, A., Choi, M., Dale, C., Kumari, M., Engmann, J., Kalsheker, N., Chappell, S., Guetta-Baranes, T., McKeever, T. M., Palmer, C. N. A., Tavendale, R., Holloway, J. W., Sayer, A. A. ,... Wain, L. V. (2016). Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12. THORAX, 71 (6), pp.501-509. https://doi.org/10.1136/thoraxjnl-2015-207876.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893124
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.
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