Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site
<p>Abstract</p> <p>Background/Aims</p> <p>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...
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doaj-b6aca7a43a8e42c69f9c922aa99b22ce2020-11-25T00:17:07ZengBMCBMC Cancer1471-24072012-04-0112113810.1186/1471-2407-12-138Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by siteAlbright FrederickTeerlink CraigWerner Theresa LCannon-Albright Lisa A<p>Abstract</p> <p>Background/Aims</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p> http://www.biomedcentral.com/1471-2407/12/138 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Albright Frederick Teerlink Craig Werner Theresa L Cannon-Albright Lisa A |
spellingShingle |
Albright Frederick Teerlink Craig Werner Theresa L Cannon-Albright Lisa A Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site BMC Cancer |
author_facet |
Albright Frederick Teerlink Craig Werner Theresa L Cannon-Albright Lisa A |
author_sort |
Albright Frederick |
title |
Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site |
title_short |
Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site |
title_full |
Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site |
title_fullStr |
Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site |
title_full_unstemmed |
Significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site |
title_sort |
significant evidence for a heritable contribution to cancer predisposition: a review of cancer familiality by site |
publisher |
BMC |
series |
BMC Cancer |
issn |
1471-2407 |
publishDate |
2012-04-01 |
description |
<p>Abstract</p> <p>Background/Aims</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p> |
url |
http://www.biomedcentral.com/1471-2407/12/138 |
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