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Strong association between two polymorphisms on 15q25.1 and lung cancer risk: a meta-analysis.

Gu M, Dong X, Zhang X, Wang X, Qi Y, Yu J, Niu W - PLoS ONE (2012)

Bottom Line: We sought to investigate this inconsistency by performing a comprehensive meta-analysis on two polymorphisms (CHRNA3 gene: rs1051730 and AGPHD1 gene: rs8034191) on 15q25.1.The two polymorphisms followed Hardy-Weinberg equilibrium for all studies (P>0.05).For example, the association of polymorphisms rs1051730 and rs8034191 with lung cancer was heterogeneous between Caucasians (OR = 1.32 and 1.22; 95% CI: 1.25-1.44 and 1.05-1.42; P<0.0005 and 0.008, respectively) and East Asians (OR = 1.51 and 1.03; 95% CI: 0.76-3 and 0.47-2.27; P = 0.237 and 0.934, respectively) under the allelic model, and this association was relatively strengthened under the dominant model.

View Article: PubMed Central - PubMed

Affiliation: Beijing Institute of Genomics, Chinese Academy of Sciences and Key Laboratory of Genome Science and Information, Chinese Academy of Sciences, Beijing, China.

ABSTRACT

Background: The association between polymorphisms on 15q25.1 and lung cancer has been widely evaluated; however, the studies have yielded contradictory results. We sought to investigate this inconsistency by performing a comprehensive meta-analysis on two polymorphisms (CHRNA3 gene: rs1051730 and AGPHD1 gene: rs8034191) on 15q25.1.

Methods: Data were extracted from 15 and 14 studies on polymorphisms rs1051730 and rs8034191 involving 12301/14000 and 14075/12873 lung cancer cases/controls, respectively. The random-effects model was applied, addressing heterogeneity and publication bias.

Results: The two polymorphisms followed Hardy-Weinberg equilibrium for all studies (P>0.05). For rs1051730-G/A, carriers of A allele had a 36% increased risk for lung cancer (95% confidence interval [CI]: 1.27-1.46; P<0.0005), without heterogeneity (P = 0.258) or publication bias (P(Egger) = 0.462). For rs8034191-T/C, the allelic contrast indicated that C allele conferred a 23% increased risk for lung cancer (95% CI: 1.08-1.4; P = 0.002), with significant heterogeneity (P<0.0005), without publication bias (P(Egger) = 0.682). Subgroup analyses suggested that the between-study heterogeneity was derived from ethnicity, study design, matched information, and lung cancer subtypes. For example, the association of polymorphisms rs1051730 and rs8034191 with lung cancer was heterogeneous between Caucasians (OR = 1.32 and 1.22; 95% CI: 1.25-1.44 and 1.05-1.42; P<0.0005 and 0.008, respectively) and East Asians (OR = 1.51 and 1.03; 95% CI: 0.76-3 and 0.47-2.27; P = 0.237 and 0.934, respectively) under the allelic model, and this association was relatively strengthened under the dominant model. There was no observable publication bias for both polymorphisms.

Conclusions: Our findings demonstrated that CHRNA3 gene rs1051730-A allele and AGPHD1 gene rs8034191-T allele might be risk-conferring factors for the development of lung cancer in Caucasians, but not in East-Asians.

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Related in: MedlinePlus

Meta-regression of smoking percent in lung cancer patients on in-allele risk estimates of CHRNA3 gene rs1051730 (A) and AGPHD1 gene rs8034191 (B) polymorphisms for occurrence of lung cancer.For each study, OR is shown by the middle of the blue solid circle whose upper and lower extremes represent the corresponding 95% CI. OR values were calculated for the current smokers against nonsmokers (including former smokers) when available or ex-smokers against never-smokers otherwise. The green dotted line is plotted by fitting OR and smoking percent in cases for the included studies.
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pone-0037970-g003: Meta-regression of smoking percent in lung cancer patients on in-allele risk estimates of CHRNA3 gene rs1051730 (A) and AGPHD1 gene rs8034191 (B) polymorphisms for occurrence of lung cancer.For each study, OR is shown by the middle of the blue solid circle whose upper and lower extremes represent the corresponding 95% CI. OR values were calculated for the current smokers against nonsmokers (including former smokers) when available or ex-smokers against never-smokers otherwise. The green dotted line is plotted by fitting OR and smoking percent in cases for the included studies.

Mentions: For both polymorphisms, as reflected by the visual funnel plot inspection (Figure 2-A and 2-C) and Egger's regression asymmetry statistic, there was low probability of publication bias (P = 0.742 and 0.682 for rs1051730 and rs8034191, respectively). Further evidence of selective publication suggested that there were no missing studies required to make the funnel plot symmetrical for both polymorphisms (Figure 3-B and 3-D).


Strong association between two polymorphisms on 15q25.1 and lung cancer risk: a meta-analysis.

Gu M, Dong X, Zhang X, Wang X, Qi Y, Yu J, Niu W - PLoS ONE (2012)

Meta-regression of smoking percent in lung cancer patients on in-allele risk estimates of CHRNA3 gene rs1051730 (A) and AGPHD1 gene rs8034191 (B) polymorphisms for occurrence of lung cancer.For each study, OR is shown by the middle of the blue solid circle whose upper and lower extremes represent the corresponding 95% CI. OR values were calculated for the current smokers against nonsmokers (including former smokers) when available or ex-smokers against never-smokers otherwise. The green dotted line is plotted by fitting OR and smoking percent in cases for the included studies.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3368941&req=5

pone-0037970-g003: Meta-regression of smoking percent in lung cancer patients on in-allele risk estimates of CHRNA3 gene rs1051730 (A) and AGPHD1 gene rs8034191 (B) polymorphisms for occurrence of lung cancer.For each study, OR is shown by the middle of the blue solid circle whose upper and lower extremes represent the corresponding 95% CI. OR values were calculated for the current smokers against nonsmokers (including former smokers) when available or ex-smokers against never-smokers otherwise. The green dotted line is plotted by fitting OR and smoking percent in cases for the included studies.
Mentions: For both polymorphisms, as reflected by the visual funnel plot inspection (Figure 2-A and 2-C) and Egger's regression asymmetry statistic, there was low probability of publication bias (P = 0.742 and 0.682 for rs1051730 and rs8034191, respectively). Further evidence of selective publication suggested that there were no missing studies required to make the funnel plot symmetrical for both polymorphisms (Figure 3-B and 3-D).

Bottom Line: We sought to investigate this inconsistency by performing a comprehensive meta-analysis on two polymorphisms (CHRNA3 gene: rs1051730 and AGPHD1 gene: rs8034191) on 15q25.1.The two polymorphisms followed Hardy-Weinberg equilibrium for all studies (P>0.05).For example, the association of polymorphisms rs1051730 and rs8034191 with lung cancer was heterogeneous between Caucasians (OR = 1.32 and 1.22; 95% CI: 1.25-1.44 and 1.05-1.42; P<0.0005 and 0.008, respectively) and East Asians (OR = 1.51 and 1.03; 95% CI: 0.76-3 and 0.47-2.27; P = 0.237 and 0.934, respectively) under the allelic model, and this association was relatively strengthened under the dominant model.

View Article: PubMed Central - PubMed

Affiliation: Beijing Institute of Genomics, Chinese Academy of Sciences and Key Laboratory of Genome Science and Information, Chinese Academy of Sciences, Beijing, China.

ABSTRACT

Background: The association between polymorphisms on 15q25.1 and lung cancer has been widely evaluated; however, the studies have yielded contradictory results. We sought to investigate this inconsistency by performing a comprehensive meta-analysis on two polymorphisms (CHRNA3 gene: rs1051730 and AGPHD1 gene: rs8034191) on 15q25.1.

Methods: Data were extracted from 15 and 14 studies on polymorphisms rs1051730 and rs8034191 involving 12301/14000 and 14075/12873 lung cancer cases/controls, respectively. The random-effects model was applied, addressing heterogeneity and publication bias.

Results: The two polymorphisms followed Hardy-Weinberg equilibrium for all studies (P>0.05). For rs1051730-G/A, carriers of A allele had a 36% increased risk for lung cancer (95% confidence interval [CI]: 1.27-1.46; P<0.0005), without heterogeneity (P = 0.258) or publication bias (P(Egger) = 0.462). For rs8034191-T/C, the allelic contrast indicated that C allele conferred a 23% increased risk for lung cancer (95% CI: 1.08-1.4; P = 0.002), with significant heterogeneity (P<0.0005), without publication bias (P(Egger) = 0.682). Subgroup analyses suggested that the between-study heterogeneity was derived from ethnicity, study design, matched information, and lung cancer subtypes. For example, the association of polymorphisms rs1051730 and rs8034191 with lung cancer was heterogeneous between Caucasians (OR = 1.32 and 1.22; 95% CI: 1.25-1.44 and 1.05-1.42; P<0.0005 and 0.008, respectively) and East Asians (OR = 1.51 and 1.03; 95% CI: 0.76-3 and 0.47-2.27; P = 0.237 and 0.934, respectively) under the allelic model, and this association was relatively strengthened under the dominant model. There was no observable publication bias for both polymorphisms.

Conclusions: Our findings demonstrated that CHRNA3 gene rs1051730-A allele and AGPHD1 gene rs8034191-T allele might be risk-conferring factors for the development of lung cancer in Caucasians, but not in East-Asians.

Show MeSH
Related in: MedlinePlus