Statistical analysis
The association between GAS5 polymorphisms and cancer risk was
evaluated using odds ratio (OR) and 95% confidence intervals (95% CI).
For each SNP, seven genetic models were adopted: allelic model (delvs. ins), recessive model (del/del vs. del/ins+ ins/ins),
dominant model (del/del+ del/ins vs. ins/ins), over-dominant
model (del/ins vs. del/del+ ins/ins), homozygote contrast model
(del/del vs. ins/ins), additive model (del/del vs.ins/del) and heterozygote contrast model (del/ins vs. ins/ins).
The Hardy-Weinberg Equilibrium (HWE) was calculated based on the control
group’s genotype distribution through the X 2test, where a p-value of <0.05 was considered significant
disequilibrium. Inter-study heterogeneity was calculated usingI2 statistics. The fixed-effect model was used
when I2 was less than 50% (absence of
heterogeneity); otherwise, the random-effect model was adopted.
Sensitivity analysis was conducted stepwise, omitting one study at a
time to determine the robustness of the pooled odds ratio and the
stability of the results. Egger’s linear regression and Begg’s funnel
plot were used to determine publication bias. All statistical analyses
were performed using metagenyo online tool
(Martorell-Marugan et al., 2017). A
p-value of <0.05 was considered as the statistically
significant threshold.