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MAPPING INTERACTIVE CANCER SUSCEPTIBILITY GENES IN PROSTATE CANCER

MAPPING INTERACTIVE CANCER SUSCEPTIBILITY GENES IN PROSTATE CANCER
绘制前列腺癌中相互作用的癌症易感基因图谱
批准号:
7716644
负责人:
THEODORE G KRONTIRIS
金额:
$0.12万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-20 至 2008-11-30

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中文摘要
翻译
这个子项目是众多研究子项目之一
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The purpose of this research study is to collect blood from pairs of brothers with prostate cancer in order to do laboratory studies. These laboratory studies will look for genes (factors that can be inherited) that might influence the risk of prostate cancer. Cancer researchers have recently identified several biological factors that may be important in the development of prostate cancer. Researchers will determine the role of more than two dozen genetic factors in cancer research. We will also specifically study whether there is any relationship between any of these genetic factors and the risk of developing prostate cancer. Cancer researchers have come to appreciate that the risk of getting cancer may be increased because of inherited genes. Sometimes the risk can be very strong; sometimes the risk is relatively weak. We are studying whether many genes with weak contributions to cancer risk can interact to produce a strong risk. The purpose of this study is to gather allele-sharing statistics at approximately 25 candidate loci throughout the human genome most likely to influence genetic risk of prostate cancer, to perform fine structure multipoint analysis for candidate genes/regions showing suggestive evidence for linkage, to perform a marker-guided strategy for testing gene x gene interactions in disease and to identify disease variants within candidate genes in appropriate patient subsets.
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