Department of Orthopaedic Surgery, Huzhou Central Hospital, 198 Hongqi Road, Huzhou, 313000, Zhejiang Province, China.
Department of Orthopedics 1, Rizhao People's Hospital, Rizhao, 276800, Shandong, China.
Environ Health Prev Med. 2019 Jul 13;24(1):48. doi: 10.1186/s12199-019-0803-y.
To investigate the association of four single-nucleotide polymorphisms (SNPs) of the IL-6 gene with osteoporosis (OST) susceptibility.
PCR restriction fragment length polymorphism (PCR-RFLP) was carried out for SNPs detection. Generalized multifactor dimensionality reduction (GMDR) model and logistic regression model were used to examine the interaction between SNP and obesity on OST.
Logistic regression model revealed that G allele of rs1800796 and the T allele of rs2069849 were associated with increased OST risk, compared to those with wild genotype. However, no significant correlations were found when analyzing the association of rs1800795 and rs1554606 with OST risk. GMDR analysis suggested that the interaction model composed of the rs1800796 and obesity was the best model with statistical significance (P value from sign test [P] = 0.012), indicating a potential gene-environment interaction between rs1800796 and obesity. Overall, the two-locus models had a cross-validation consistency of 10/10 and had the testing accuracy of 0.641. We also conducted stratified analysis for rs1800796 genotype and obesity, and found that obese subjects with CG or GG genotype have the highest OST risk, compared to subjects with CC genotype, and normal BMI OR (95% CI) = 2.21 (1.52-3.49), after adjustment for age, smoke, and alcohol consumption status.
Our results suggested that the C allele of rs1800796 and the C allele of rs2069849 of IL-6 gene interaction between rs1800796 and abdominal obesity were all associated with increased OST risk.
研究白细胞介素 6（IL-6）基因的 4 个单核苷酸多态性（SNP）与骨质疏松症（OST）易感性的关联。
采用聚合酶链反应限制性片段长度多态性（PCR-RFLP）检测 SNP。广义多因子降维（GMDR）模型和 logistic 回归模型用于检查 SNP 与肥胖对 OST 的相互作用。
logistic 回归模型显示，与野生基因型相比，rs1800796 的 G 等位基因和 rs2069849 的 T 等位基因与 OST 风险增加相关。然而，当分析 rs1800795 和 rs1554606 与 OST 风险的相关性时，未发现显著相关性。GMDR 分析表明，由 rs1800796 和肥胖组成的相互作用模型是具有统计学意义的最佳模型（P 值来自符号检验 [P] = 0.012），表明 rs1800796 和肥胖之间存在潜在的基因-环境相互作用。总体而言，两基因座模型的交叉验证一致性为 10/10，测试准确性为 0.641。我们还对 rs1800796 基因型和肥胖进行了分层分析，发现与 CC 基因型相比，CG 或 GG 基因型的肥胖受试者 OST 风险最高，调整年龄、吸烟和饮酒状况后，正常 BMI 的 OR（95%CI）=2.21（1.52-3.49）。
我们的结果表明，IL-6 基因 rs1800796 的 C 等位基因和 rs2069849 的 C 等位基因与 rs1800796 和腹型肥胖之间的相互作用均与 OST 风险增加相关。
