96
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Contribution of ZBTB20 Polymorphisms to Esophageal Cancer Risk Among the Chinese Han Population

, , , , , , , & ORCID Icon show all
Pages 827-842 | Received 15 Apr 2022, Accepted 09 Sep 2022, Published online: 20 Sep 2022

Figures & data

Table 1 The Information of the Patients with Esophageal Cancer and Healthy Controls

Table 2 The Information of Four Polymorphisms on the ZBTB20 Gene

Table 3 Risk Analysis for ZBTB20 Polymorphisms and Esophageal Cancer in Different Genetic Models by Logistic Regression Analysis

Table 4 Stratified Analysis by Gender and Age for the Associations Between ZBTB20 Polymorphisms and the Risk of Esophageal Cancer

Table 5 Stratified Analysis by BMI and Smoking for the Associations Between ZBTB20 Polymorphisms and the Risk of Esophageal Cancer

Table 6 False-Positive Report Probability Values for the Associations Between ZBTB20 Polymorphisms and Esophageal Cancer Susceptibility

Table 7 SNP–SNP Interaction Models of Candidate SNPs Analyzed by the MDR Method

Figure 1 The dendrogram (A) and fruchterman Rheingold (B) of ZBTB20 SNP-SNP interaction for EC risk. (A) Short connections among nodes represent stronger interactions. (B) Positive percent entropy indicates synergistic interaction.

Figure 1 The dendrogram (A) and fruchterman Rheingold (B) of ZBTB20 SNP-SNP interaction for EC risk. (A) Short connections among nodes represent stronger interactions. (B) Positive percent entropy indicates synergistic interaction.