四川省阿坝州藏族羌族大骨节病的环境—遗传交互作用研究

发布时间：2018-03-20 08:44

  本文选题：大骨节病　切入点：藏族　出处：《中央民族大学》2015年硕士论文　论文类型：学位论文

【摘要】：目的：通过比较分析四川省阿坝州藏族和羌族两个民族环境-遗传交互作用对大骨节病发病的影响的异同点,建立环境-遗传交互作用回归模型,定性定量分析模型中环境因素和遗传因素。方法：用问卷调查方法收集了环境因素中的居民生活方式情况,并对调查人群采集了血样进行遗传因素的分析。利用SAS软件分析了阿坝州自然环境数据与大骨节病患病率、分度程度之间的关系,筛选出线性回归的环境因素构建了回归模型；基于病例对照研究方法分析了两个族群生活方式之间的差异,通过logistic回归模型分析不同因素对大骨节病发病的影响；利用SNP分型检测技术,建立了藏族和羌族生物信息样本数据库；利用SHEsis软件比较分析两个民族遗传度差异性；最后建立环境因素与遗传因素交互作用模型。结果：环境因素分析显示：海拔高度、气温、降水量和发硒含量均与大骨节病患病率有显著相关(P0.05),其中海拔高度和降水量与大骨节病分度程度之间呈线性回归(P0.05)。藏族：高年龄组、非改水、偶尔食用蔬菜、偶尔食用肉类、较差的居住条件、父母均患、父亲与母亲患病分度为Ⅲ度为大骨节病致病高危因素；女性、相对高学历非务农、相对高收入政府提供主食可降低大骨节病发病。羌族：高年龄组、相对低收入、父母均患病、父母亲患病Ⅲ度为致病因素；相对高学历和政府提供主食为保护因素。大骨节病易感基因的SNP分析显示,高危位点及基因型藏族为Bcl-2基因的rs1801018位点携带AG基因型、rs1564483位点中携带AG+GG基因型、rs17759659位点中携带AG基因型,Fas基因的rs2234767位点携带AG+GG基因型、rs1800682位点携带CT+TT基因；羌族为Bcl-2位点的rs9565727位点中携带AA+AG, caspase3基因的rs6948位点中携带CC+CA基因型。环境-遗传的交互作用分析显示：在藏区非改水与Bcl-2基因的rs1564483位点的交互作用对大骨节病发病具有危险性；食用新鲜蔬菜频率低与Fas基因rsl 800682位点的交互作用对大骨节病发病具有危险性；父亲患病严重与Fas基因rs1800682位点的交互作用对大骨节病发病具有危险性；母亲患病严重与Fas基因rs2234767位点的交互作用对大骨节病发病具有危险性。羌族人群中,高年龄组与caspase3基因的rs6948位点的交互作用对大骨节病发病具有危险性。结论：对大骨节病发病影响的环境因素和遗传位点在两个民族有所不同,藏区有更多的环境因子通过与不同的遗传因子之间影响着大骨节病的发生和发展,这也解释了藏区大骨节病发病率和严重程度明显高于羌区的原因。
[Abstract]:Objective: to establish a regression model of environmental genetic interaction between Tibetan and Qiang nationalities in Aba Prefecture, Sichuan Province, by comparing the differences and similarities of the environmental genetic interaction between them on the incidence of Kashin-Beck disease (KBD). Methods: the environmental factors and genetic factors in the environmental factors were collected by means of a questionnaire survey. SAS software was used to analyze the relationship between the natural environment data of Aba Prefecture and the prevalence and degree of Kaschin-Beck disease, and the regression model was established by selecting the environmental factors of linear regression. Based on the case-control study, the differences between the two ethnic groups' lifestyle were analyzed, and the influence of different factors on the incidence of Kashin-Beck disease was analyzed by logistic regression model, and the SNP typing technique was used to detect KBD. The biological information sample database of Tibetan and Qiang nationality was established, the difference of heritability between the two peoples was analyzed by SHEsis software, and the interaction model of environmental factors and genetic factors was established. Air temperature, precipitation and hair selenium content were significantly correlated with the prevalence of Kaschin-Beck disease (KBD), in which there was a linear regression between altitude and precipitation and the degree of KBD. The occasional consumption of meat, poor living conditions, both parents were affected, the grade of disease between father and mother was 鈪，

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