The search for low-penetrance cancer susceptibility alleles
Much of the familial aggregation of common cancer results from inherited susceptibility, but highly penetrant mutations in known genes cannot account for most of the excess. Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygen...
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Veröffentlicht in: | Oncogene 2004-08, Vol.23 (38), p.6471-6476 |
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description | Much of the familial aggregation of common cancer results from inherited susceptibility, but highly penetrant mutations in known genes cannot account for most of the excess. Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygenic mechanisms are likely to account for a greater proportion, particularly in breast cancer. This inference, coupled with technological developments, has led to a renaissance in association studies. Most such studies have evaluated small numbers of single-nucleotide polymorphisms (SNPs) in a few candidate genes, but reliable high-density oligonucleotide arrays and other novel techniques will allow genome-wide allelic association studies to be conducted. High-density genome-wide SNP analysis will include targets identified by structural considerations, as well as the growing list of candidate genes. In the longer term, high-throughput re-sequencing will be required to identify the rare pathogenic variants that may constitute the majority of low-penetrance alleles. The detection of low-penetrance cancer susceptibility genes will then be restricted mainly by the availability of large numbers of well-characterized cases and controls. Cancer patients with affected relatives are considerably more informative than unselected cases for such studies. |
doi_str_mv | 10.1038/sj.onc.1207951 |
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Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygenic mechanisms are likely to account for a greater proportion, particularly in breast cancer. This inference, coupled with technological developments, has led to a renaissance in association studies. Most such studies have evaluated small numbers of single-nucleotide polymorphisms (SNPs) in a few candidate genes, but reliable high-density oligonucleotide arrays and other novel techniques will allow genome-wide allelic association studies to be conducted. High-density genome-wide SNP analysis will include targets identified by structural considerations, as well as the growing list of candidate genes. In the longer term, high-throughput re-sequencing will be required to identify the rare pathogenic variants that may constitute the majority of low-penetrance alleles. The detection of low-penetrance cancer susceptibility genes will then be restricted mainly by the availability of large numbers of well-characterized cases and controls. Cancer patients with affected relatives are considerably more informative than unselected cases for such studies.</description><identifier>ISSN: 0950-9232</identifier><identifier>EISSN: 1476-5594</identifier><identifier>DOI: 10.1038/sj.onc.1207951</identifier><identifier>PMID: 15322517</identifier><identifier>CODEN: ONCNES</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Alleles ; Apoptosis ; Breast cancer ; Cancer ; Cancer research ; Cell Biology ; Chromosomes ; Disease ; DNA microarrays ; Family ; Genes ; Genetic Linkage ; Genetic Predisposition to Disease - genetics ; Genetics ; Genomes ; Human Genetics ; Humans ; Internal Medicine ; Medical research ; Medicine ; Medicine & Public Health ; Mutation ; Neoplasms - epidemiology ; Neoplasms - genetics ; Oligonucleotides ; Oncology ; Polymorphism, Genetic - genetics ; Polymorphism, Single Nucleotide - genetics ; review ; Risk Factors ; Single-nucleotide polymorphism</subject><ispartof>Oncogene, 2004-08, Vol.23 (38), p.6471-6476</ispartof><rights>Springer Nature Limited 2004</rights><rights>COPYRIGHT 2004 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Aug 23, 2004</rights><rights>Nature Publishing Group 2004.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-e3156c8508b25f8ef5de85018a08057772905e853aec6ae1b0d95cd61f4ca7d03</citedby><cites>FETCH-LOGICAL-c484t-e3156c8508b25f8ef5de85018a08057772905e853aec6ae1b0d95cd61f4ca7d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.onc.1207951$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.onc.1207951$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15322517$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Houlston, Richard S</creatorcontrib><creatorcontrib>Peto, Julian</creatorcontrib><title>The search for low-penetrance cancer susceptibility alleles</title><title>Oncogene</title><addtitle>Oncogene</addtitle><addtitle>Oncogene</addtitle><description>Much of the familial aggregation of common cancer results from inherited susceptibility, but highly penetrant mutations in known genes cannot account for most of the excess. Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygenic mechanisms are likely to account for a greater proportion, particularly in breast cancer. This inference, coupled with technological developments, has led to a renaissance in association studies. Most such studies have evaluated small numbers of single-nucleotide polymorphisms (SNPs) in a few candidate genes, but reliable high-density oligonucleotide arrays and other novel techniques will allow genome-wide allelic association studies to be conducted. High-density genome-wide SNP analysis will include targets identified by structural considerations, as well as the growing list of candidate genes. In the longer term, high-throughput re-sequencing will be required to identify the rare pathogenic variants that may constitute the majority of low-penetrance alleles. The detection of low-penetrance cancer susceptibility genes will then be restricted mainly by the availability of large numbers of well-characterized cases and controls. Cancer patients with affected relatives are considerably more informative than unselected cases for such studies.</description><subject>Alleles</subject><subject>Apoptosis</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer research</subject><subject>Cell Biology</subject><subject>Chromosomes</subject><subject>Disease</subject><subject>DNA microarrays</subject><subject>Family</subject><subject>Genes</subject><subject>Genetic Linkage</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mutation</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - genetics</subject><subject>Oligonucleotides</subject><subject>Oncology</subject><subject>Polymorphism, Genetic - genetics</subject><subject>Polymorphism, Single Nucleotide - 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genetics</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mutation</topic><topic>Neoplasms - epidemiology</topic><topic>Neoplasms - genetics</topic><topic>Oligonucleotides</topic><topic>Oncology</topic><topic>Polymorphism, Genetic - genetics</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>review</topic><topic>Risk Factors</topic><topic>Single-nucleotide polymorphism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Houlston, Richard S</creatorcontrib><creatorcontrib>Peto, Julian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Oncogene</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Houlston, Richard S</au><au>Peto, Julian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The search for low-penetrance cancer susceptibility alleles</atitle><jtitle>Oncogene</jtitle><stitle>Oncogene</stitle><addtitle>Oncogene</addtitle><date>2004-08-23</date><risdate>2004</risdate><volume>23</volume><issue>38</issue><spage>6471</spage><epage>6476</epage><pages>6471-6476</pages><issn>0950-9232</issn><eissn>1476-5594</eissn><coden>ONCNES</coden><abstract>Much of the familial aggregation of common cancer results from inherited susceptibility, but highly penetrant mutations in known genes cannot account for most of the excess. Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygenic mechanisms are likely to account for a greater proportion, particularly in breast cancer. This inference, coupled with technological developments, has led to a renaissance in association studies. Most such studies have evaluated small numbers of single-nucleotide polymorphisms (SNPs) in a few candidate genes, but reliable high-density oligonucleotide arrays and other novel techniques will allow genome-wide allelic association studies to be conducted. High-density genome-wide SNP analysis will include targets identified by structural considerations, as well as the growing list of candidate genes. In the longer term, high-throughput re-sequencing will be required to identify the rare pathogenic variants that may constitute the majority of low-penetrance alleles. The detection of low-penetrance cancer susceptibility genes will then be restricted mainly by the availability of large numbers of well-characterized cases and controls. Cancer patients with affected relatives are considerably more informative than unselected cases for such studies.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>15322517</pmid><doi>10.1038/sj.onc.1207951</doi><tpages>6</tpages></addata></record> |
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subjects | Alleles Apoptosis Breast cancer Cancer Cancer research Cell Biology Chromosomes Disease DNA microarrays Family Genes Genetic Linkage Genetic Predisposition to Disease - genetics Genetics Genomes Human Genetics Humans Internal Medicine Medical research Medicine Medicine & Public Health Mutation Neoplasms - epidemiology Neoplasms - genetics Oligonucleotides Oncology Polymorphism, Genetic - genetics Polymorphism, Single Nucleotide - genetics review Risk Factors Single-nucleotide polymorphism |
title | The search for low-penetrance cancer susceptibility alleles |
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