用叉生分析探讨SLC2A9基因与BMI的交互作用对高尿酸血症的影响

目的 探讨SLC2A9基因的rs1014290位点和rs7442295位点与体质指数（body mass index，BMI）之间的交互作用对高尿酸血症的影响，为研究高尿酸血症的病因提供理论依据。方法 采用宁夏某体检机构定期进行体检已确定的366例高尿酸血症患者为病例组，按照性别、民族、年龄采用1:1配对的方法选取同时期、同体检机构进行体检的366例健康人作为对照组。用叉生分析研究基因位点与BMI之间的交互作用。结果 病例组的肌酐（creatinine，Crea）、总胆固醇（total Cholesterol，TC）、甘油三酯（triglyceride，TG）、BMI比对照组高，差异均有统计学意义（均有P<0.05）。rs1014290位点的基因型在病例组与对照组之间差异有统计学意义（χ2=13.117，P=0.004）。rs1014290位点的不同遗传模型基因型构成在病例组与对照组之间差异有统计学意义（χ2=11.225，P=0.001），携带GG基因型发生高尿酸血症的可能性是携带GA+AA基因型发生高尿酸血症的47.4%。rs1014290位点与BMI的叉生分析中，基于相加模型有统计学意义（U=4.874，P=0.032），S=-2.022，AP=0.674，AP*=1.495，RERI=1.227，基于相乘模型有统计学意义（P=0.017），ORint=4.123。结论 rs1014290位点与BMI之间存在相加和相乘的交互作用。

The influence of the interaction of SLC2A9 gene and BMI on hyperuricemia by crossover analysis

Objective To explore the influence of interaction of SLC2A9 gene rs1014290 and rs7442295 and body mass index (BMI) on hyperuricemia in Ningxia so as to provide evidences for the etiology of hyperuricemia. Methods 366 subjects identified by regular physical examination in a certain medical institution were selected as case group,meanwhile, 366 subjects were selected as control group by 1:1 pairing according to gender, ethnicity and age. The crossover analysis was used to analyze the interaction relationship between genetic polymorphisms of rs1014290, rs7442295 and BMI in hyperuricemia population. Results The difference of creatinine, total cholesterol, triglyceride, BMI and systolic blood pressure between case group and control group were statistically significant (P<0.05), and the case group was slightly higher than the control. The genotypes of rs1014290 were statistically significant (χ2=13.117, P=0.004). The genotypes of different genetic models at rs1014290 were statistically significant (χ2=11.225, P=0.001). The morbidity of hyperuricemia in GG genotype was 47.4% of the cases with hyperuricemia in GA + AA genotype. In the crossover analysis of rs1014290 and BMI, the additive model had statistical significance (U=4.874, P=0.032), S=-2.022, AP=0.674, AP*=1.495, RERI=1.227. There was statistical significance based on the multiplicative model (P=0.017),ORint=4.123. Conclusion There is an additive interaction and multiplicative interaction between rs1014290 and BMI.