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生活方式指数与基因交互作用对凉山地区居民高尿酸血症影响
引用本文:李婷婷,李爽境,田甜,聂志超,许望东,刘隆健,贾红.生活方式指数与基因交互作用对凉山地区居民高尿酸血症影响[J].中华疾病控制杂志,2021,25(1):37-42.
作者姓名:李婷婷  李爽境  田甜  聂志超  许望东  刘隆健  贾红
作者单位:1.646000 泸州,西南医科大学公共卫生学院
基金项目:达能营养中心膳食营养研究与宣教基金(DIC2013-03)。
摘    要:  目的  分析生活方式指数与基因交互作用对凉山地区居民高尿酸血症(hyperuricemia, HUA)的影响。  方法  以凉山地区2 646名居民为研究对象进行问卷调查、体格测量和血样采集。利用吸烟、饮酒、体育锻炼和BMI构建生活方式指数。采用非条件Logistic线性回归分析模型分析生活方式指数、基因位点与HUA的关系,运用相加、相乘模型分析二者交互作用对HUA的影响。  结果  调整年龄、性别和民族后,生活方式指数得分为3分与0分相比降低了63.7%的HUA患病风险(OR=0.363, 95% CI: 0.232~0.566, P < 0.001);rs2231142位点TT突变基因型患HUA的风险是GG野生型的2.993倍(OR=2.993, 95% CI: 2.015~4.445, P < 0.001),rs11722228位点TT突变基因型会增加39.2%的HUA患病风险(OR=1.392, 95% CI: 1.029~1.884, P=0.032)。生活方式指数与rs2231142位点对HUA存在协同的相加交互作用(RERI=1.136, 95% CI:0.036~2.236; AP=0.311, 95% CI: 0.115~0.507; S=1.749, 95% CI: 1.168~2.620),但未发现生活方式指数与rs2231142和rs11722228位点间存在相乘交互作用(均有P>0.05)。  结论  凉山地区人群生活方式指数与rs2231142位点对HUA存在协同的相加交互作用,当个体携带T突变基因型时,其不健康的生活方式会增加HUA的患病风险。

关 键 词:高尿酸血症    生活方式指数    基因    交互作用
收稿时间:2020-07-23

Association and interaction effect between lifestyle index and gene polymorphisms on hyperuricemia in Liangshan residents
LI Ting-ting,LI Shuang-jing,TIAN Tian,NIE Zhi-chao,XU Wang-dong,LIU Long-jian,JIA Hong.Association and interaction effect between lifestyle index and gene polymorphisms on hyperuricemia in Liangshan residents[J].Chinese Journal of Disease Control & Prevention,2021,25(1):37-42.
Authors:LI Ting-ting  LI Shuang-jing  TIAN Tian  NIE Zhi-chao  XU Wang-dong  LIU Long-jian  JIA Hong
Institution:1.School of Public Health, Southwest Medical University, Luzhou 646000, China2.Department of Epidemiology and Biostatistics, School of Public Health, Drexel University, Philadelphia, PA 19012, the United States
Abstract:Objective To explore the impact of lifestyle index and gene interaction on hyperuricemia of residents in Liangshan area. Methods Questionnaire survey, physical measurement and blood sample were conducted from 2 646 residents in Liangshan area. Lifestyle index was constructed by using smoking, drinking, physical activity and body mass index(BMI). Logistic regression model was used to explore the relationship among lifestyle index, SNP locus and HUA. The additive and multiplication model were used to analyze the impact of lifestyle index-gene interaction on HUA. Results Logistic regression analysis showed that after adjusting for age, gender and ethnicity, a lifestyle index score of 3 reduces the risk of HUA by 63.7% compared with score of 0(OR=0.363, 95% CI: 0.232-0.566, P<0.001);The TT mutation genotype at rs2231142 had HUA 2.993 times than that of GG wild type(OR=2.993, 95% CI: 2.015-4.445, P<0.001), the TT mutation genotype at rs11722228 increased the risk of HUA by 39.2%(OR=1.392, 95% CI: 1.029-1.884, P=0.032). The interaction analysis showed that there was a synergistic additive interaction between the lifestyle index and the ABCG2 gene rs2231142 locus on HUA(RERI=1.136, 95% CI:0.036-2.236;AP=0.311, 95% CI: 0.115-0.507;S=1.749, 95% CI: 1.168-2.620), but there was no multiplicative interaction between lifestyle index and rs2231142 and rs11722228. Conclusions There is a synergistic additive interaction between the lifestyle index and the ABCG2 gene rs2231142 locus on HUA. When an individual carries the T mutation genotype, adopting an unhealthy lifestyle will increase the risk of HUA.
Keywords:Hyperuricemia  Lifestyle index  Gene  Interaction
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