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. 2021 May 4;190(5):875-885.
doi: 10.1093/aje/kwaa227.

Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive Pulmonary Disease

Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive Pulmonary Disease

Woori Kim et al. Am J Epidemiol. .

Abstract

Risk of chronic obstructive pulmonary disease (COPD) is determined by both cigarette smoking and genetic susceptibility, but little is known about gene-by-smoking interactions. We performed a genome-wide association analysis of 179,689 controls and 21,077 COPD cases from UK Biobank subjects of European ancestry recruited from 2006 to 2010, considering genetic main effects and gene-by-smoking interaction effects simultaneously (2-degrees-of-freedom (df) test) as well as interaction effects alone (1-df interaction test). We sought to replicate significant results in COPDGene (United States, 2008-2010) and SpiroMeta Consortium (multiple countries, 1947-2015) data. We considered 2 smoking variables: 1) ever/never and 2) current/noncurrent. In the 1-df test, we identified 1 genome-wide significant locus on 15q25.1 (cholinergic receptor nicotinic β4 subunit, or CHRNB4) for ever- and current smoking and identified PI*Z allele (rs28929474) of serpin family A member 1 (SERPINA1) for ever-smoking and 3q26.2 (MDS1 and EVI1 complex locus, or MECOM) for current smoking in an analysis of previously reported COPD loci. In the 2-df test, most of the significant signals were also significant for genetic marginal effects, aside from 16q22.1 (sphingomyelin phosphodiesterase 3, or SMPD3) and 19q13.2 (Egl-9 family hypoxia inducible factor 2, or EGLN2). The significant effects at 15q25.1 and 19q13.2 loci, both previously described in prior genome-wide association studies of COPD or smoking, were replicated in COPDGene and SpiroMeta. We identified interaction effects at previously reported COPD loci; however, we failed to identify novel susceptibility loci.

Keywords: chronic obstructive pulmonary disease; gene-by-smoking interaction; gene-environment interaction; genome-wide association study; smoking.

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Figures

Figure 1
Figure 1
Analysis workflow for a genome-wide gene-by-smoking interaction analysis conducted in UK Biobank subjects, United Kingdom, 2006–2010. In the genome-wide scan, the genome-wide significance was set at P < 5.00 × 10−8. In the candidate variants, the significance threshold was considered as Bonferroni significance (P < 1.00 × 10−4). Candidate variants were selected from genome-wide association study of COPD (5) and lung function (15) and previously reported gene-by-smoking interactions of chronic obstructive pulmonary disease (1, 2, 4). Significant findings in the genome-wide scan and in candidate variants were selected to replicate in COPDGene (United States, 2008–2010) (14) and SpiroMeta consortium (multiple countries, 1947–2015) (15). CHRNB4, cholinergic receptor nicotinic β4 subunit; df, degrees of freedom; EGLN2, Egl-9 family hypoxia inducible factor 2; MECOM, myelodysplastic syndrome 1 and ecotropic viral integration site 1 complex locus; SERPINA1, serpin family A member 1; SMPD3, sphingomyelin phosphodiesterase 3.
Figure 2
Figure 2
Statistical significances of selected variants in multiple data sets. A) Variants presenting main effects based on the 2-degrees-of-freedom (df) joint test. Smoking exposures of rs141322661 and rs2604894 are ever-smoking and current smoking, respectively. B) Variants presenting the evidence of interaction effects based on the 1-df interaction test. Smoking exposures of rs7642001, rs28929474, and rs12440014 are current smoking, ever-smoking, and ever-smoking, respectively. For selected variants presenting the genome-wide significance from a 2-df joint test and a 1-df interaction test in the genome-wide gene-by-smoking interaction analysis, we compared the P values for a marginal genome-wide association study of chronic obstructive pulmonary disease (5) (marginal genome-wide association study (GWAS)), stratified analysis of marginal GWAS by smoking exposure (exposed and unexposed), 1-df interaction test and 2-df joint test. Summary statistics of “Marginal GWAS” are from the meta-analysis of UK Biobank (2006–2010) and the International COPD Genetics Consortium (multiple countries, 1987–2013) (5). Summary statistics of analysis testing of “Exposed,” “Unexposed,” “1-df Interaction,” and “2-df Joint” are from the analysis of UK Biobank (2006–2010).

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