SOMATIC MUTATIONS AT THE GLYCOPHORIN A LOCUS IN RADIATION EXPOSED INDIVIDUALS

基于血型糖蛋白 A 的体细胞有两个主要目标 突变分析项目。 第一个目标是确定 暴露的清算人体细胞突变损伤的程度和类型 切尔诺贝利核电站事故产生的辐射 血型糖蛋白A (GPA) 测定。 将对血液样本进行分析 来自俄罗斯清算人的低剂量暴露和俄罗斯控制， 并将包括半合子 NO 和半合子频率的测量 纯合 NN 变异红细胞。 频率的测量 GPA位点的体细胞突变将与不同的体细胞突变相关。 计划项目中其他项目的遗传损害指标 提供遗传损伤和潜在可能性的全面分析 清算人群体的健康后果。 第二个目标是利用切尔诺贝利清理者的 GPA 数据 人群以确定检测低剂量的最佳策略 可能适用于其他领域未来研究的辐射暴露 人口。 将利用问卷调查中的个人历史数据 确定导致个体差异的因素。 将确定统计程序以调整混杂因素 因素并促进暴露和控制之间的区分 人口。 GPA 测定的结果将与 计划项目中其他生物剂量计的结果，以确定 不同方法的相对灵敏度和可靠性，以及 检测低剂量辐射暴露的组合数据的功效 人类。

There are two primary objectives for the glycophorin A-based somatic mutation analysis project. The first objective is to determine the magnitude and types of somatic mutational damage in liquidators exposed to radiation from the Chernobyl nuclear power accident as measured by the glycophorin A (GPA) assay. Analysis will be performed on blood samples from Russian liquidators with low-dose exposures and Russian controls, and will include measurements of the frequency of both hemizygous NO and homozygous NN variant erythrocytes. Measurements of the frequencies of somatic cell mutations at the GPA locus will be correlated with different indicators of genetic damage from other projects in the program project to provide a comprehensive analysis of genetic damage and potential health consequences in the liquidator population. The second objective is to utilize GPA data from the Chernobyl liquidator population to determine optimal strategies for detecting low-dose radiation exposures that may be applicable for future studies in other populations. Personal history data from questionnaires will be utilized to identify factors that contribute to inter-individual variability. Statistical procedures will be identified to adjust for confounding factors and facilitate differentiation between exposed and control populations. Results from the GPA assay will be compared with the results from other biodosimeters in the program project to determine the relative sensitivity and reliability of the different methods, and the power of the combined data for detecting low-dose radiation exposure in humans.