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Aims <p>This study aims to evaluate the impact of four SNPs of interleukin-10 (<i>IL- 10</i>) gene, and the interaction with the environmental factors on the risk of esophageal cancer (EC) based on a Chinese Han population.</p> Methods <p>Hardy-Weinberg equilibrium (HWE) and the relationship between four SNPs of <i>IL-10</i> gene and EC risk was tested using SNPStats online software (<a href="https://www.snpstats.net/start.htm">https://www.snpstats.net/start.htm</a>). Generalized multifactor dimensionality reduction (GMDR) was employed to screen the best interaction combinations among four SNPs, smoking and alcohol drinking.</p> Results <p>Logistic regression found that rs1800872-A allele was associated with increased EC risk, ORs (95%CI) was 1.62 (1.19–2.06) for CA genotype and 2.13 (1.48–2.81) for AA genotype, compared to CC genotype, and 1.74 (1.28–2.25) for A allele compared to C allele. We also found that rs1800896- A allele was associated with increased EC risk, ORs (95%CI) was 1.59 (1.24–1.97) for GA genotype and 1.97 (1.36–2.63) for AA genotype, compared to GG genotype, and 1.65 (1.28–2.06) for A allele compared to G allele. GMDR model found a significant gene- environment combination (two-locus model with <i>p</i> = 0.0107) between rs1800896 and smoking. Compared to non- smokers with rs1800896 -GG genotype, smokers with rs1800896- GA + AA genotype of <i>IL- 10</i> gene have the highest EC risk, OR (95%CI) = 3.76 (1.71–5.83).</p> Conclusions <p>The rs1800872-A and rs1800896- A alleles were associated with increased EC risk. Interaction existed between rs1800896 and smoking on EC risk.</p>

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Correlation analysis on interaction between Interleukin 10 gene and smoking with esophageal cancer risk in a Chinese Han population

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  • 发表日期：

    2025年11月22日

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  • Jiamin Zhu,
  • Baixia Yang,
  • Feng Ni,
  • Cheng Tan,
  • Yun Guan,
  • Xiaogang Zhai

摘要

Aims

This study aims to evaluate the impact of four SNPs of interleukin-10 (IL- 10) gene, and the interaction with the environmental factors on the risk of esophageal cancer (EC) based on a Chinese Han population.

Methods

Hardy-Weinberg equilibrium (HWE) and the relationship between four SNPs of IL-10 gene and EC risk was tested using SNPStats online software (https://www.snpstats.net/start.htm). Generalized multifactor dimensionality reduction (GMDR) was employed to screen the best interaction combinations among four SNPs, smoking and alcohol drinking.

Results

Logistic regression found that rs1800872-A allele was associated with increased EC risk, ORs (95%CI) was 1.62 (1.19–2.06) for CA genotype and 2.13 (1.48–2.81) for AA genotype, compared to CC genotype, and 1.74 (1.28–2.25) for A allele compared to C allele. We also found that rs1800896- A allele was associated with increased EC risk, ORs (95%CI) was 1.59 (1.24–1.97) for GA genotype and 1.97 (1.36–2.63) for AA genotype, compared to GG genotype, and 1.65 (1.28–2.06) for A allele compared to G allele. GMDR model found a significant gene- environment combination (two-locus model with p = 0.0107) between rs1800896 and smoking. Compared to non- smokers with rs1800896 -GG genotype, smokers with rs1800896- GA + AA genotype of IL- 10 gene have the highest EC risk, OR (95%CI) = 3.76 (1.71–5.83).

Conclusions

The rs1800872-A and rs1800896- A alleles were associated with increased EC risk. Interaction existed between rs1800896 and smoking on EC risk.