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中文摘要
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这项研究正在确定并向许多积极的乳腺癌妇女及其父母发出邀请函,并可以有效地将她们的数据与目前从未受影响的姐妹那里收集的DNA和环境数据结合起来。该研究获得了巨大的操作效率优势,通过利用已经到位的基础设施,并为姊妹研究顺利运行(Dale Sandler, PI)。根据首批10,000名姐妹研究的参与者,超过20%的人有一个符合条件的姐妹,80%的人有一个或两个父母住在一起。邮寄回的唾液试剂盒将提供来自病例和父母的DNA。我们将收集临床数据,并试图验证所有1600例的诊断。对这些病例的随访(通过姊妹研究)也将使我们能够确定影响治疗后健康的环境、临床和遗传因素。
英文摘要
This study is identifying and sending a letter of invitation to many motivated women with breast cancer and their parents, and can effectively combine their data with the DNA and environmental data now being collected from their unaffected sisters. The study gains enormous operational efficiency advantages, by taking advantage of the infrastructure that is already in place and functioning smoothly for the Sister Study (Dale Sandler, PI). Based on the first 10,000 Sister Study enrollees, more than 20% have an eligible sister and 80% of those have one or both parents living. Mail-back saliva kits will provide DNA from cases and parents. We will collect clinical data and attempt to validate the diagnoses for all 1,600 cases. Follow-up of these cases (through the Sister Study) will also allow us to identify environmental, clinical, and genetic factors that influence health after treatment. We plan to genotype 1,536 markers on some 150 candidate genes, including some expected to be related to risk and others expected to be related to prognosis. In addition, archived DNA will provide a resource for future tests of not-yet-known candidates identified in recently-published and ongoing genome-wide association studies. Case-parent analyses of gene variants are protected against bias due to confounding by genetic heritage, and also permit detection of both maternally-mediated genetic effects and parent-of-origin (imprinting) effects. In the proposed study, the participating affected sisters will complete a computer-assisted telephone interview like the one their sister will have completed, providing information about personal exposures, reproductive history, and past occupational exposures. Environmental effects will be identifiable through a paired comparison of affected and unaffected sisters. Gene-by-exposure interactions will be assessed with novel statistical methods. In summary, the proposed study leverages off the ongoing Sister Study to build a cost-effective, powerful, and statistically independent study of young-onset breast cancer. Findings related to combined effects of genetic variants and environmental factors can be replicated later in the Sister Study. This year we continued to develop the materials required, secured IRB approval for the study, and negotiated the contract required to be awarded foundation funding ($1.7M) to carry it out, through the Susan G. Komen for the Cure foundation. Interview staff was trained and software developed for the computer-assisted telephone interview. A new CATI interview had to be developed related to the breast cancer diagnosis. We have now put the study into the field, with assistance from the EB support services contract. Initial response to our letters of invitation mailed to the first 431 Sister Study participants has been encouraging, though it is too early to estimate the response rate.
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Statistical Methods For Genetic Epidemiology
Statistical Methods In Epidemiology--general
The Two Sister Study
Statistical Methods For Genetic Epidemiology
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