Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site.
Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site.
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DOI：
10.1186/1471-2407-12-138
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发表时间：
2012-04-03
期刊：
影响因子：
3.8
通讯作者：
Cannon-Albright LA
中科院分区：
文献类型：
--
作者：
Albright F;Teerlink C;Werner TL;Cannon-Albright LA
使用健全、严谨、成熟和新扩展的遗传流行病学分析方法，分析犹他州许多常见癌症部位的遗传风险的人群证据。犹他州人口数据库(UPDB)提供了癌症部位对癌症风险的家族贡献的重要说明。自上一次全面的家族性癌症分析以来，我们利用超过15年的新癌症数据，使用扩展的家族性遗传指数(DGIF)方法测试了过度的家族性聚集，该方法提供了一种更有信息量的、但保守的测试，以确定癌症中是否存在基因贡献的家族亲缘关系。首次对一些新的癌症部位进行了分析，通过添加UPDB获得了足够大的样本量。这项新的分析确定了6个癌症部位，其中包括唇癌、慢性淋巴细胞性白血病、甲状腺、肺癌、前列腺癌和黑色素瘤。基于环境和基因的家族聚集性都具有临床意义，这些结果支持在受影响个人的近亲中增加对同一部位癌症的监测，发现比通常认为的更多的癌症。
Sound and rigorous well-established, and newly extended, methods for genetic epidemiological analysis were used to analyze population evidence for genetic contributions to risk for numerous common cancer sites in Utah. The Utah Population Database (UPDB) has provided important illumination of the familial contribution to cancer risk by cancer site. With over 15 years of new cancer data since the previous comprehensive familial cancer analysis, we tested for excess familial clustering using an expanded Genealogical Index of Familiality (dGIF) methodology that provides for a more informative, but conservative test for the existence of a genetic contribution to familial relatedness in cancer. Some new cancer sites have been analyzed for the first time, having achieved sufficiently large sample size with additions to the UPDB. This new analysis has identified 6 cancer sites with significant evidence for a heritable contribution to risk, including lip, chronic lymphocytic leukemia, thyroid, lung, prostate, and melanoma. Both environmentally and genetically-based familial clustering have clinical significance, and these results support increased surveillance for cancer of the same sites among close relatives of affected individuals for many more cancers than are typically considered.
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影响因子：
9.9
作者：
Blumenthal, Deborah T.;Cannon-Albright, Lisa A.
通讯作者：
Cannon-Albright, Lisa A.
DOI：
10.1006/cbmr.1999.1525
发表时间：
1999-12-01
期刊：
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子：
--
作者：
Thomas, A;Cannon-Albright, L;Skolnick, MH
通讯作者：
Skolnick, MH
影响因子：
1.8
作者：
Albright, Lisa A. Cannon
通讯作者：
Albright, Lisa A. Cannon
影响因子：
4.1
作者：
Albright, LAC;Camp, NJ;Rowe, KG
通讯作者：
Rowe, KG
影响因子：
12.6
作者：
Maul, John Scott;Burt, Randall W.;Cannon-Albright, Lisa A.
通讯作者：
Cannon-Albright, Lisa A.