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Research Article

Genetic Variants Associated with the Risk of Chronic Obstructive Pulmonary Disease with and without Lung Cancer

Mariza de Andrade, Yan Li, Randolph S. Marks, Claude Deschamps, Paul D. Scanlon, Curtis L. Olswold, Ruoxiang Jiang, Stephen J. Swensen, Zhifu Sun, Julie M. Cunningham, Jason A. Wampfler, Andrew H. Limper, David E. Midthun and Ping Yang
Mariza de Andrade
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Yan Li
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Randolph S. Marks
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Claude Deschamps
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Paul D. Scanlon
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Curtis L. Olswold
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Ruoxiang Jiang
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Stephen J. Swensen
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Zhifu Sun
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Julie M. Cunningham
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Jason A. Wampfler
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Andrew H. Limper
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David E. Midthun
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Ping Yang
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DOI: 10.1158/1940-6207.CAPR-11-0243 Published March 2012
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    Figure 1.

    Predicting risk of COPD with and without lung cancer. A and C, COPD risk prediction curve (female). B and D, COPD risk prediction curve (male).

Tables

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  • Table 1.

    Demographic and clinic characteristics

    COPD cases, N (%)Number of controls
    CharacteristicsWith lung cancer (N = 432)Without lung cancer (N = 188)Total (N = 620)(%; without COPD and lung cancer) N = 893PaPbPcPd
    Sex
     Male240 (55.56)82 (43.62)322 (51.94)348 (38.97)0.008<0.0010.271<0.001
     Female192 (44.44)106 (56.38)298 (48.06)545 (61.03)
    Age ± SD, y66.99 ± 8.5467.27 ± 9.6767.08 ± 8.8964.97 ± 9.970.731<0.0010.004<0.001
    Smoking status
     Never31 (7.18)29 (15.43)60 (9.67)564 (63.16)0.004<0.001<0.001<0.001
     Former217 (50.23)94 (50.00)311 (50.16)195 (21.84)
     Current184 (42.59)65 (34.57)249 (40.16)134 (15.01)
    Pack-years
     0 and never-smoker31 (7.18)33 (17.55)64 (10.32)570 (63.83)<0.001<0.001<0.001<0.001
     1–2029 (6.71)15 (7.98)44 (7.10)32 (3.58)
     21–4075 (17.36)43 (22.87)118 (19.03)121 (13.55)
     >40297 (68.75)97 (51.60)394 (63.55)170 (19.04)
    • ↵aP value for the comparison between COPD cases with and without lung cancer.

    • ↵bP value for the comparison between COPD cases with lung cancer and controls.

    • ↵cP value for the comparison between COPD cases without lung cancer and controls.

    • ↵dP value for the comparison between all COPD cases and controls.

  • Table 2.

    Significant results in SNP analysis adjusting for clinical variables

    Most significant results in 3 genetic models
    Whole case–control data setCOPD patients without lung cancer and healthy control data setCOPD patients with lung cancer and healthy control data set
    PathwayGeners IDOR (99% CI)P*OR (99% CI)P*OR (99% CI)P*Minimum P*
    GSHABCC1rs169677551.51 (1.08–2.10)1.60 × 10−31.50 (0.95–2.38)2.36 × 10−21.45 (1.00–2.10)1.01 × 10−21.60 × 10−3
    GSHABCC4rs73242831.90 (1.07–3.37)3.93 × 10−32.40 (1.17–4.91)1.60 × 10−31.58 (0.83–3.04)6.88 × 10−21.60 × 10−3
    GSHGCLCrs125245502.42 (1.11–5.28)3.54 × 10−32.60 (0.92–7.34)1.79 × 10−22.11 (0.91–4.90)2.28 × 10−23.54 × 10−3
    GSHGCLCrs21003750.75 (0.58–0.97)3.66 × 10−30.33 (0.10–1.04)1.25 × 10−20.78 (0.58–1.03)2.29 × 10−23.66 × 10−3
    GSHABCC3rs80754060.70 (0.50–0.97)4.88 × 10−30.65 (0.41–1.02)1.45 × 10−20.70 (0.48–1.01)1.17 × 10−24.88 × 10−3
    GSHABCC4rs17297861.61 (1.01–2.56)8.91 × 10−31.43 (1.03–2.00)5.67 × 10−31.59 (0.94–2.70)2.29 × 10−25.67 × 10−3
    GSHGCLCrs5429140.78 (0.62–0.99)6.26 × 10−30.80 (0.58–1.11)7.70 × 10−20.78 (0.60–1.02)1.68 × 10−26.26 × 10−3
    GSHGCLCrs47120351.37 (1.01–1.86)7.01 × 10−31.38 (0.86–2.21)8.41 × 10−21.36 (0.97–1.90)1.76 × 10−27.01 × 10−3
    GSHGSTP1rs11382720.64 (0.41–1.00)9.80 × 10−30.76 (0.42–1.36)2.20 × 10−10.60 (0.36–0.99)8.19 × 10−38.19 × 10−3
    GSHABCC2rs7176201.28 (0.96–1.72)2.77 × 10−21.87 (0.57–6.12)1.74 × 10−11.39 (1.01–1.94)8.80 × 10−38.80 × 10−3
    GSHGSSrs60886590.29 (0.09–0.99)9.22 × 10−30.39 (0.07–2.06)1.47 × 10−10.23 (0.05–1.01)1.06 × 10−29.22 × 10−3
    GSHABCC2rs27561090.79 (0.62–1.00)9.34 × 10−30.69 (0.43–1.11)4.35 × 10−20.80 (0.61–104)2.55 × 10−29.34 × 10−3
    GSHABCC1rs2151000.65 (0.38–1.12)3.99 × 10−20.65 (0.30–1.41)1.52 × 10−10.76 (0.58–1.00)9.69 × 10−39.69 × 10−3
    DNAMSH3rs125135494.04 (0.72–22.80)3.75 × 10−28.68 (1.36–55.26)2.63 × 10−31.35 (0.89–2.05)6.64 × 10−22.63 × 10−3
    DNAXPArs18009750.85 (0.62–1.18)2.05 × 10−10.60 (0.38–0.94)3.33 × 10−30.99 (0.69–1.42)9.26 × 10−13.33 × 10−3
    DNAPARPrs118429151.26 (0.93–1.69)4.79 × 10−21.53 (1.02–2.28)6.43 × 10−31.14 (0.77–1.68)3.81 × 10−16.43 × 10−3
    DNAERCC2rs39168741.31 (1.01–1.70)7.40 × 10−31.56 (1.00–2.46)1.08 × 10−21.28 (0.96–1.71)2.63 × 10−27.40 × 10−3
    DNAMSH3rs330130.72 (0.52–1.00)1.01 × 10−20.80 (0.51–1.26)2.11 × 10−10.69 (0.48–0.99)8.42 × 10−38.42 × 10−3
    DNAMSH3rs125221322.17 (0.58–8.09)1.31 × 10−14.49 (1.03–19.52)8.54 × 10−31.22 (0.83-1.82)1.86 × 10−18.54 × 10−3
    DNAMSH3rs28972982.28 (0.62–8.32)1.03 × 10−14.48 (1.03–19.47)8.58 × 10−31.21 (0.81–1.79)2.17 × 10−18.58 × 10−3
    InflammationPTGS2rs6894702.26 (0.96–5.36)1.47 × 10−23.02 (1.05–8.71)7.03 × 10−31.96 (0.72–5.32)8.41 × 10−27.03 × 10−3
    • *Bold P-values mean below significant value of 0.01.

  • Table 3.

    Significant results adjusting for clinical variables in gene-based analysis*

    Minimum P value in 3 genetic models
    PathwayGeneNumber of SNPs testedWhole case–control data setCOPD patients without lung cancer and healthy control data setCOPD patients with lung cancer and healthy control data setMinimum P Value
    GSHGCLC134.04 × 10−71.81 × 10−47.16 × 10−44.04 × 10−7
    GSHGSS73.61 × 10−21.14 × 10−41.75 × 10−21.14 × 10−4
    GSHGSTO263.30 × 10−35.05 × 10−11.06 × 10−31.06 × 10−3
    DNAERCC155.26 × 10−18.11 × 10−38.28 × 10−18.11 × 10−3
    DNARRM169.66 × 10−32.09 × 10−28.71 × 10−29.66 × 10−3
    • *Bold P-values mean below significant value of 0.01.

  • Table 4.

    Cumulative risk prediction model for COPD based on multiple independent high-risk htSNP combination

    Number of risk allelesNumber of COPD casesNumber of healthy controlsORS × 10ZP
    Whole case–control data set (12 risk htSNPs included)
     First level (0, 9)992191.00 (reference)
     Second level (10, 12)2804241.620.172.913.60 × 10−3
     Third level (13, 24)2412502.730.185.612.07 × 10−8
     Per-allele risk (trend test)1.210.036.711.95 × 10−11
    COPD patients without lung cancer and healthy control data set (8 risk htSNPs included)
     First level (0, 2)302471.00 (reference)
     Second level (3, 5)1084961.670.242.192.83 × 10−2
     Third level (6, 16)501503.080.284.084.60 × 10−5
     Per-allele risk (trend test)1.250.054.761.94 × 10−6
    COPD patients with lung cancer and healthy control data set (4 risk htSNPs included)
     First level (0, 4)1243241.00 (reference)
     Second level (5, 6)2645091.890.154.192.81 × 10−5
     Third level (7, 8)44602.320.273.101.94 × 10−3
     Per-allele risk (trend test)1.300.064.449.16 × 10−6

Additional Files

  • Figures
  • Tables
  • Supplementary Data

    Files in this Data Supplement:

    • Supplementary Table 1 - PDF file - 20K
    • Supplementary Table 2 - PDF file - 46K
    • Supplementary Table 3 - PDF file - 47K
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Cancer Prevention Research: 5 (3)
March 2012
Volume 5, Issue 3
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Genetic Variants Associated with the Risk of Chronic Obstructive Pulmonary Disease with and without Lung Cancer
Mariza de Andrade, Yan Li, Randolph S. Marks, Claude Deschamps, Paul D. Scanlon, Curtis L. Olswold, Ruoxiang Jiang, Stephen J. Swensen, Zhifu Sun, Julie M. Cunningham, Jason A. Wampfler, Andrew H. Limper, David E. Midthun and Ping Yang
Cancer Prev Res March 1 2012 (5) (3) 365-373; DOI: 10.1158/1940-6207.CAPR-11-0243

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Genetic Variants Associated with the Risk of Chronic Obstructive Pulmonary Disease with and without Lung Cancer
Mariza de Andrade, Yan Li, Randolph S. Marks, Claude Deschamps, Paul D. Scanlon, Curtis L. Olswold, Ruoxiang Jiang, Stephen J. Swensen, Zhifu Sun, Julie M. Cunningham, Jason A. Wampfler, Andrew H. Limper, David E. Midthun and Ping Yang
Cancer Prev Res March 1 2012 (5) (3) 365-373; DOI: 10.1158/1940-6207.CAPR-11-0243
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