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. 2018 Jun 18;8(1):9319.
doi: 10.1038/s41598-018-27463-5.

Genome-wide assessment of gene-by-smoking interactions in COPD

Affiliations

Genome-wide assessment of gene-by-smoking interactions in COPD

Boram Park et al. Sci Rep. .

Abstract

Cigarette smoke exposure is a major risk factor in chronic obstructive pulmonary disease (COPD) and its interactions with genetic variants could affect lung function. However, few gene-smoking interactions have been reported. In this report, we evaluated the effects of gene-smoking interactions on lung function using Korea Associated Resource (KARE) data with the spirometric variables-forced expiratory volume in 1 s (FEV1). We found that variations in FEV1 were different among smoking status. Thus, we considered a linear mixed model for association analysis under heteroscedasticity according to smoking status. We found a previously identified locus near SOX9 on chromosome 17 to be the most significant based on a joint test of the main and interaction effects of smoking. Smoking interactions were replicated with Gene-Environment of Interaction and phenotype (GENIE), Multi-Ethnic Study of Atherosclerosis-Lung (MESA-Lung), and COPDGene studies. We found that individuals with minor alleles, rs17765644, rs17178251, rs11870732, and rs4793541, tended to have lower FEV1 values, and lung function decreased much faster with age for smokers. There have been very few reports to replicate a common variant gene-smoking interaction, and our results revealed that statistical models for gene-smoking interaction analyses should be carefully selected.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Changes of FEV1 along age Smoothing lines of FEV1 (L) according to age and their 95% confidence interval were estimated with generalized additive model.
Figure 2
Figure 2
QQ plots for FEV1 Figure 2A is obtained from the proposed 3 DF test on FEV1 and Figure 2B is obtained from the homoscedasticity model.
Figure 3
Figure 3
Linkage disequilibrium among the four most significant SNPs and regional plots Figure 3A shows the LD plot generated with Haploview software and D’ values were used. Figure 3B is a regional plot r2 around rs17765644 SNPs created with LocusZoom. SOX9 TAD is located between 68.67 to 70.45 Mb.
Figure 4
Figure 4
SNP-smoking interaction Figure 4 visualize the effects of rs17765644 by smoking status. X axis presents the number of minor alleles, and left and right of Y axis represent mean FEV1 values of never smokers, and ever smoker, respectively.

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