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1.
Figure 3

Figure 3. Forest plot for the meta-analysis of rs1051730 polymorphism using dominant model.. From: Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

According to , 17 studies that provided the data of genotype AA/GA/GG and GA/GG were used in the dominant model (AA+AG vs GG).

Zhijie Han, et al. Sci Rep. 2015;5:15642.

CitationFull text

2.
Figure 5

Figure 5. Forest plot for the meta-analysis of rs1051730 polymorphism using additive model.. From: Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

According to , 13 studies that provided the data of genotype AA/GA/GG were used in the additive model (AA vs GG).

Zhijie Han, et al. Sci Rep. 2015;5:15642.

CitationFull text

3.
Figure 2

Figure 2. Forest plot for the meta-analysis of rs1051730 polymorphism using allele model.. From: Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

According to , 30 studies that provided the data of genotype A/G and AA/GA/GG and GA/GG were used in the allele model (A vs G).

Zhijie Han, et al. Sci Rep. 2015;5:15642.

CitationFull text

4.
Figure 4

Figure 4. Forest plot for the meta-analysis of rs1051730 polymorphism using recessive model.. From: Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

According to , 14 studies that provided the data of genotype AA/GA/GG as well as AA/GA and GG were used in the recessive model (AA vs AG+GG).

Zhijie Han, et al. Sci Rep. 2015;5:15642.

CitationFull text

5.
Figure 6

Figure 6. Funnel plot of publication bias analysis in the allele, dominant, recessive and additive model.. From: Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

This funnel plot shows the result of the publication bias analysis for rs1051730 polymorphism with lung cancer using allele (a), dominant (b), recessive (c) and additive (d) model. The X-axis represents OR value and the Y-axis represents standard error of each study, respectively.

Zhijie Han, et al. Sci Rep. 2015;5:15642.

CitationFull text

6.
Figure 1

Figure 1. The flow chart of collecting articles for analyzing the association between rs1051730 polymorphism and lung cancer.. From: Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility.

The criteria of selecting articles are: (1) the study was designed according to the method of case-control. (2) the study evaluated the association of rs1051730 polymorphism and lung cancer. (3) the number of cases and controls was provided in the study. (4) the study provided the population of each individual. (5) the study provided the number of rs1051730 genotypes both in cases and controls or provided enough data to calculate the genotypes. (6) the study provided the OR value with 95% CI and the P value or provided enough data to calculate them.

Zhijie Han, et al. Sci Rep. 2015;5:15642.

CitationFull text

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