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GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMA

GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMA
恶性胶质瘤的遗传流行病学
批准号:
2094922
负责人:
MARGARET R. WRENSCH
金额:
$41.93万
依托单位国家:
美国
项目类别:
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-05-15 至 1996-04-30

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项目成果

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中文摘要
翻译
恶性胶质瘤是脑内最常见的原发性恶性肿瘤, 成年人,是衰弱和迅速致命的。 很少有人知道 恶性胶质瘤的病因;家族史和多样的环境 在以前的流行病学研究中已经提出了风险因素。 在 此外,胶质瘤在某些家族中可能与更常见的 癌的 没有研究调查过家庭和 环境因素或测试特定的遗传模型, 部分,解释这些肿瘤的家族关联。 在本研究中, 病例(n=约450)为新诊断的成人, 1991年7月1日至1994年6月30日组织学证实的恶性胶质瘤 在五个弗朗西斯科地区的县。 基于人群的对照(n= 大约450例)与年龄、性别、种族和电话号码匹配 前缀将通过随机数字拨号获得。 本研究将 收集约5300人的详细家庭病史 病例的一级亲属(父母、兄弟姐妹和子女), 控制措施,以及关于职业、吸烟、饮酒的信息; 亚硝酸盐日粮;水源;极低频 电磁场暴露;染发剂的使用;和个人医疗 病例和对照的历史。 向成年亲属和 死者亲属的指定线人将评估医疗 亲属感兴趣的条件和风险因素。 相关 将审查记录,以进一步验证报告的医疗 条件 分析将涉及五个目标:1)测试假设, 病例组亲属比对照组亲属更有可能患有a) 癌症(乳腺癌、肺癌、肾上腺癌或结肠直肠癌、肉瘤和 白血病是特别感兴趣的); B)脑肿瘤;和/或c)某些 神经系统状况; 2)评估共享的贡献 家族性癌症的环境暴露或文化习俗 使用适合聚类的逻辑回归技术聚类 样本数据; 3)测试遗传的特定遗传模型 采用复合分离法研究病例家系的疾病易感性 分析;还将对多个受影响家庭的扩展谱系进行分析。 评估; 4)比较家庭人口和环境风险 病例组和对照组的因素; 5)检查混杂因素和影响 使用逻辑回归方法对这些因素进行修正, 配对
英文摘要
Malignant glioma, the most common primary malignant brain tumor in adults, is debilitating and rapidly fatal. Very little is known about the causes of malignant glioma; family history and diverse environmental risk factors have been suggested in previous epidemiologic studies. In addition, gliomas may be associated in some families with more common cancers. No study has examined the interrelationships of familial and environmental factors or tested specific genetic models that might, in part, explain the familial associations of these tumors. In this study, cases (n= approximately 450) will be adults newly diagnosed with histologically confirmed malignant glioma from 7/1/1991 through 6/30/1994 in five San Francisco area counties. Population-based controls (n= approximately 450) matched to cases for age, sex, race, and telephone prefix will be obtained through random-digit dialing. This study will collect detailed family medical histories for approximately 5300 first-degree relatives (parents, siblings, and children) of cases and controls, as well as information on occupation; smoking; alcohol use; diet containing nitrites; water sources; extremely-low-frequency electromagnetic field exposures; hair dye use; and personal medical history of cases and controls. Questionnaires to adult relatives and to designated informants of deceased relatives will assess medical conditions and risk factors of interest for the relatives. Pertinent records will be reviewed for further validation of reported medical conditions. Analyses will address five aims: 1) to test hypotheses that cases' relatives are more likely than controls' relatives to have had a) cancer (breast, lung, adrenal, or colo-rectal cancers, sarcoma, and leukemia are of particular interest); b) brain tumors; and/or c) certain nervous system conditions; 2) to evaluate the contributions of shared environmental exposures or cultural practices to familial cancer clustering using logistic regression techniques appropriate for cluster sample data; 3) to test specific genetic models of inherited susceptibility to disease in cases' families using complex segregation analyses; extended pedigrees of multiply affected families will also be evaluated; 4) to compare familial demographic and environmental risk factor in cases and controls; and 5) to examine confounding and effect modification among these factors using logistic regression methods for matched pairs.
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Genetic and Molecular Epidemiology of Adult Glioma
The San Francisco Bay Area Adult Glioma Survival Study
ELECTROMAGNETIC FIELDS AND ADULT MALIGNANT GLIOMA
HA-RAS RARE ALLELES IN MALIGNANT GLIOMA
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