Subgroup analysis of ^$the adjusted association between <i>GSTM1-GSTT1</i> null genotype and HCC risk.

<p>M: model of meta-analysis; R: random-effects model; F: fixed-effects model. <i>P_H</i>: <i>P</i> value of heterogeneity test. <i>P_E</i>: <i>P</i> value of Egger’s test. <i>P_OR</i>: <i>P</i><0.001 replace the <i>P</i> = 0.000 and the <i>P</i> less than 0.001. ^$: adjusted association (after omitting 3 articles <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057043#pone.0057043-Bian2" target="_blank">[30]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057043#pone.0057043-Yu3" target="_blank">[37]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057043#pone.0057043-Deng1" target="_blank">[44]</a>).</p

Flow chart of study selection.

<p>Flow chart of study selection.</p

Galbraith plot of association between <i>GST</i> polymorphisms and HCC risk.

<p>Each figure represents a unique article in this meta-analysis. The figures outside the three lines are spotted as the outliers and the possible sources of heterogeneity in the analysis pooled of total available studies. (A) Galbraith plot identifies the outliers from 26 studies about <i>GSTM1</i> polymorphisms and HCC risk. (B) Galbraith plot identifies the outliers from 21 studies about <i>GSTT1</i> polymorphisms and HCC risk. (C) Galbraith plot identifies the outliers from 12 studies about <i>GSTM1-GSTT1</i> polymorphisms and HCC risk.</p

Subgroup analysis of the association between <i>GSTM1-GSTT1</i> null genotype and HCC risk.

<p>M: model of meta-analysis; R: random-effects model; F: fixed-effects model. <i>P_H</i>: <i>P</i> value of heterogeneity test. <i>P_E</i>: <i>P</i> value of Egger’s test. <i>P_OR</i>: <i>P</i><0.001 replace the <i>P</i> = 0.000 and the <i>P</i> less than 0.001. @: <i>P</i> values could not be calculated.</p

Subgroup analysis of the association between <i>GSTM1</i> null genotype and HCC risk.

<p>M: model of meta-analysis; R: random-effects model; F: fixed-effects model. <i>P_H</i>: <i>P</i> value of heterogeneity test. <i>P_E</i>: <i>P</i> value of Egger’s test. <i>P_OR</i>: <i>P</i><0.001 replace <i>P</i> = 0.000 and <i>P</i> less than 0.001. @: <i>P</i> values could not be calculated.</p

Subgroup analysis of ^$the adjusted association between <i>GSTT1</i> null genotype and HCC risk.

<p>M: model of meta-analysis; R: random-effects model; F: fixed-effects model. <i>P_H</i>: <i>P</i> value of heterogeneity test. <i>P_E</i>: <i>P</i> value of Egger’ test. <i>P_OR</i>: <i>P</i><0.001 replace the <i>P</i> = 0.000 and the <i>P</i> less than 0.001.</p>$<p>adjusted association (after omitting 3 articles <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057043#pone.0057043-Bian2" target="_blank">[30]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057043#pone.0057043-Sun1" target="_blank">[34]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057043#pone.0057043-Ma2" target="_blank">[42]</a>).</p

Characteristics of the studies related with the effects of <i>GSTs</i> genetic polymorphisms and HCC risk.

<p>ALL: HCC cases were confirmed by pathologic diagnosis; PARTIAL: part of HCC cases were confirmed by pathologic diagnosis; NA: relative data were not available in original studies;</p>*<p>Articles published in English;</p>̂<p>Articles published in Chinese.</p>§<p>McGlynn et al. did not show genotype frequency of cases and controls, but presented OR with 95% CI;</p><p>Southeast regions in China mainland include Hebei, Shanghai, Jiangsu, Zhejiang, Anhui, Jiangxi, and Guangxi. Central regions in China mainland include Hunan and Henan.</p

Association between <i>GSTM1</i> null genotype and HCC risk analyzed by forest plot of meta-analysis.

<p>The forest plots of pooled OR with 95% CI (Null genotype <i>vs.</i> Present genotype; OR = 1.47, 95% CI: 1.21 to 1.79; Random-effects model, <i>P</i><0.001).</p

Association between <i>GSTM1-GSTT1</i> dual-null genotype and HCC risk analyzed by forest plot of meta-analysis.

<p>The forest plots of pooled OR with 95% CI (Dual-null genotype <i>vs.</i> Present genotype; OR = 1.79, 95% CI: 1.26 to 2.53; Random-effects model, <i>P</i><0.001).</p

Subgroup analysis of the association between <i>GSTT1</i> null genotype and HCC risk.

<p>M: model of meta-analysis; R: random-effects model; F: fixed-effects model. <i>P_H: P</i> value of heterogeneity test. <i>P_E</i>: <i>P v</i>alue of Egger’s test. <i>P_OR</i>: <i>P</i><0.001 replace the <i>P</i> = 0.000 and the <i>P</i> less than 0.001. @: <i>P</i> values could not be calculated.</p