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. 2011 Feb 3;6(2):e16476.
doi: 10.1371/journal.pone.0016476.

Individual and cumulative effects of GWAS susceptibility loci in lung cancer: associations after sub-phenotyping for COPD

Affiliations

Individual and cumulative effects of GWAS susceptibility loci in lung cancer: associations after sub-phenotyping for COPD

Robert P Young et al. PLoS One. .

Abstract

Epidemiological studies show that approximately 20-30% of chronic smokers develop chronic obstructive pulmonary disease (COPD) while 10-15% develop lung cancer. COPD pre-exists lung cancer in 50-90% of cases and has a heritability of 40-77%, much greater than for lung cancer with heritability of 15-25%. These data suggest that smokers susceptible to COPD may also be susceptible to lung cancer. This study examines the association of several overlapping chromosomal loci, recently implicated by GWA studies in COPD, lung function and lung cancer, in (n = 1400) subjects sub-phenotyped for the presence of COPD and matched for smoking exposure. Using this approach we show; the 15q25 locus confers susceptibility to lung cancer and COPD, the 4q31 and 4q22 loci both confer a reduced risk to both COPD and lung cancer, the 6p21 locus confers susceptibility to lung cancer in smokers with pre-existing COPD, the 5p15 and 1q23 loci both confer susceptibility to lung cancer in those with no pre-existing COPD. We also show the 5q33 locus, previously associated with reduced FEV(1), appears to confer susceptibility to both COPD and lung cancer. The 6p21 locus previously linked to reduced FEV(1) is associated with COPD only. Larger studies will be needed to distinguish whether these COPD-related effects may reflect, in part, associations specific to different lung cancer histology. We demonstrate that when the "risk genotypes" derived from the univariate analysis are incorporated into an algorithm with clinical variables, independently associated with lung cancer in multivariate analysis, modest discrimination is possible on receiver operator curve analysis (AUC = 0.70). We suggest that genetic susceptibility to lung cancer includes genes conferring susceptibility to COPD and that sub-phenotyping with spirometry is critical to identifying genes underlying the development of lung cancer.

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Conflict of interest statement

Competing Interests: Dr. Robert Young is a Scientific Advisor to Synergenz BioScience Ltd who assisted with funding this project. This does not alter the authors' adherence to all the PLos ONE policies on sharing data and materials.

Figures

Figure 1
Figure 1. Genes conferring resistance (G0) and susceptibility to COPD (G1), lung cancer (G3) or both (G2): a pharmacogenetic approach to chronic smoke exposure*.
Figure 2
Figure 2. Cumulative effect of the (a) 9 SNP panel and (b) 19 SNP panel of protective and susceptible SNPs in combination with non-genetic variables to derive a “lung cancer risk score” in lung cancer cases and controls (n = controls and lung cancer cases combined).
Figure 3
Figure 3. Distribution of the lung cancer susceptibility score using the (a) 9 SNP panel and (b) 19 SNP panel, of protective and susceptible SNPs in combination with non-genetic variables in lung cancer cases and controls.

References

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