Springer Nature
Browse
12881_2018_704_MOESM1_ESM.pdf (1.72 MB)

Additional file 1: of Do polymorphisms in protein kinase catalytic subunit alpha-1 gene associated with cancer susceptibility? a meta-analysis and systematic review

Download (1.72 MB)
journal contribution
posted on 2018-10-19, 05:00 authored by Jialin Meng, Xinyao Fan, Meng Zhang, Zongyao Hao, Chaozhao Liang
Table S1. Total sample sizes and allelic percentages of enrolled studies. Table S2. Methodological quality of the included studies according to the Newcastle-Ottawa Scale. Table S3. PRISMA 2009 Checklist. Table S4. Details of the sensitivity analyses for the polymorphisms in PRKAA1 and cancer risk. Table S5. P values of the Egger’s test for the polymorphisms in PRKAA1. Figure S1. Begg’s funnel plot for publication bias for PRKAA1 rs13361707 polymorphism (B vs. A). For Begg’s funnel plot, the x-axis is log (OR), and the y-axis is natural logarithm of OR. The horizontal line in the figure represents the overall estimated log (OR). The two diagonal lines indicate the pseudo 95% confidence limits of the effect estimate. Figure S2. Begg’s funnel plot for publication bias for PRKAA1 rs10074991 polymorphism (B vs. A). For Begg’s funnel plot, the x-axis is log (OR), and the y-axis is natural logarithm of OR. The horizontal line in the figure represents the overall estimated log (OR). The two diagonal lines indicate the pseudo 95% confidence limits of the effect estimate. Figure S3. Sensitivity analysis of Asian based group OR Co-efficient for PRKAA1 rs13361707 polymorphism (C vs. T). Results were calculated by omitting each study in turn. The two ends of the dotted lines represent the 95% CI. (PDF 1760 kb)

Funding

National Natural Science Foundation of China

History