Li Su-Hua, Li Yan, Zhang Meng-Jun, An Qi, Tao Jia-Nan, Wang Xue-Hong
Department of Gastroenterology, The Affiliated Hospital of Qinghai University, 29 Tongren Road, Xining, 810001, Qinghai, China.
Biochem Genet. 2024 May 20. doi: 10.1007/s10528-024-10776-8.
To investigate the impact of four single nucleotide polymorphisms (SNPs) of the HIF1α gene and its interaction with Helicobacter pylori (H. pylori) infection on susceptibility to gastric cancer (GC).Logistic regression was used to test the relationship between four SNPs of HIF1α gene and the susceptibility of GC. A generalized multifactor dimensionality reduction (GMDR) model was used to assess the HIF1α gene-H. pylori infection interaction.Logistic regression analysis indicated that both the rs11549465-CT genotype and the T allele were associated with an increased risk of GC, adjusted OR (95% CI) were 1.63 (1.09-2.20) (CT vs. CC) and 1.70 (1.13-2.36) (T vs. C), respectively. We also found that both the rs11549467-A allele and rs11549467-GA genotype were associated with an increased risk of GC, and adjusted OR (95% CI) were 2.21 (1.61-2.86) (GA vs. GG), 2.13 (1.65-2.65) (A vs. G), respectively. However, no statistically significant impact of rs2057482 or rs1957757 on risk of GC was found. The GMDR model indicated a statistically significant two-dimensional model combination (including rs11549467 and H. pylori infection). The selected model had testing balanced accuracy of 0.60 and the best cross-validation consistencies of 10/10 (p = 0.0107). Compared with H. pylori infection negative participants with rs11549467-GG genotype, H. pylori positive participants with the rs11549467-GA genotype had the highest GC risk, the OR (95% CI) was 3.04 (1.98-4.12).The rs11549467-A allele and rs11549467-GA genotype was associated with increased GC risk. Additionally, the gene-environment interaction between HIF-1α-rs11549467 and H. pylori infection was also correlated with an increased risk of GC.
研究缺氧诱导因子1α（HIF1α）基因的四个单核苷酸多态性（SNP）及其与幽门螺杆菌（H. pylori）感染的相互作用对胃癌（GC）易感性的影响。采用逻辑回归分析HIF1α基因的四个SNP与GC易感性之间的关系。使用广义多因素降维（GMDR）模型评估HIF1α基因与幽门螺杆菌感染之间的相互作用。逻辑回归分析表明，rs11549465-CT基因型和T等位基因均与GC风险增加相关，校正后的比值比（95%可信区间）分别为1.63（1.09 - 2.20）（CT与CC相比）和1.70（1.13 - 2.36）（T与C相比）。我们还发现，rs11549467-A等位基因和rs11549467-GA基因型均与GC风险增加相关，校正后的比值比（95%可信区间）分别为2.21（1.61 - 2.86）（GA与GG相比）、2.13（1.65 - 2.65）（A与G相比）。然而，未发现rs2057482或rs1957757对GC风险有统计学显著影响。GMDR模型表明存在一个具有统计学显著性的二维模型组合（包括rs11549467和幽门螺杆菌感染）。所选模型的测试平衡准确率为0.60，最佳交叉验证一致性为10/10（p = 0.0107）。与rs11549467-GG基因型的幽门螺杆菌感染阴性参与者相比，rs11549467-GA基因型的幽门螺杆菌感染阳性参与者患GC的风险最高，比值比（95%可信区间）为3.04（1.98 - 4.12）。rs11549467-A等位基因和rs11549467-GA基因型与GC风险增加相关。此外，HIF-1α-rs11549467与幽门螺杆菌感染之间的基因-环境相互作用也与GC风险增加相关。
