Use of SNPs in cancer predisposition analysis, diagnosis and prognosis: tools and prospects
Background: The development of cancer is accompanied by several genetic alterations. Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation found in the human population. SNP arrays offer a high-resolution, high-throughput technology for genome-wide analysis, allowing t...
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| Veröffentlicht in: | Expert opinion on medical diagnostics 2009-05, Vol.3 (3), p.313-326 |
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| creator | Boyd, Lara K Mao, Xueying Lu, Yong-Jie |
| description | Background: The development of cancer is accompanied by several genetic alterations. Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation found in the human population. SNP arrays offer a high-resolution, high-throughput technology for genome-wide analysis, allowing the simultaneous detection of genotype and copy number changes. The power of SNP arrays as a research tool has accelerated our understanding of the genetic alterations in cancer, providing potential clinical applications. Objective: This manuscript reviews the use of SNPs in cancer research and discusses the potential clinical application of analysing SNPs for cancer predisposition analysis, diagnosis and prognosis. We also discuss potential future applications for the analysis of SNPs. Methods: In writing this review, we have reflected on our own extensive experience in the field of cancer genomics and have surveyed peer-reviewed articles focussing on the application of SNPs in cancer research. In addition, we have referred to product websites. Conclusion: Since its development, SNP array technology has been extensively applied in cancer research. Information generated from SNP array analysis has been providing valuable information. With the full understanding of the rich resources of SNPs and their effects on influencing cellular function, SNP arrays will revolutionise the clinical practice in cancer risk assessment, diagnosis and prognosis making the concept of personalised medicine a reality. |
| doi_str_mv | 10.1517/17530050902828325 |
| format | Article |
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Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation found in the human population. SNP arrays offer a high-resolution, high-throughput technology for genome-wide analysis, allowing the simultaneous detection of genotype and copy number changes. The power of SNP arrays as a research tool has accelerated our understanding of the genetic alterations in cancer, providing potential clinical applications. Objective: This manuscript reviews the use of SNPs in cancer research and discusses the potential clinical application of analysing SNPs for cancer predisposition analysis, diagnosis and prognosis. We also discuss potential future applications for the analysis of SNPs. Methods: In writing this review, we have reflected on our own extensive experience in the field of cancer genomics and have surveyed peer-reviewed articles focussing on the application of SNPs in cancer research. In addition, we have referred to product websites. Conclusion: Since its development, SNP array technology has been extensively applied in cancer research. Information generated from SNP array analysis has been providing valuable information. With the full understanding of the rich resources of SNPs and their effects on influencing cellular function, SNP arrays will revolutionise the clinical practice in cancer risk assessment, diagnosis and prognosis making the concept of personalised medicine a reality.</description><identifier>ISSN: 1753-0059</identifier><identifier>EISSN: 1753-0067</identifier><identifier>DOI: 10.1517/17530050902828325</identifier><identifier>PMID: 23488466</identifier><language>eng</language><publisher>England: Informa UK Ltd</publisher><subject>cancer ; copy number change ; diagnosis ; genome-wide analysis ; genomic change ; loss of heterozygosity ; personalised medicine ; risk assessment ; SNP microarray</subject><ispartof>Expert opinion on medical diagnostics, 2009-05, Vol.3 (3), p.313-326</ispartof><rights>Informa UK Ltd 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c321t-4aba8faea15599c1802e9aff598ff8e5437f4138bfb88283719d4a0795d737983</citedby><cites>FETCH-LOGICAL-c321t-4aba8faea15599c1802e9aff598ff8e5437f4138bfb88283719d4a0795d737983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1517/17530050902828325$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1517/17530050902828325$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,59647,60436</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23488466$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Boyd, Lara K</creatorcontrib><creatorcontrib>Mao, Xueying</creatorcontrib><creatorcontrib>Lu, Yong-Jie</creatorcontrib><title>Use of SNPs in cancer predisposition analysis, diagnosis and prognosis: tools and prospects</title><title>Expert opinion on medical diagnostics</title><addtitle>Expert Opin Med Diagn</addtitle><description>Background: The development of cancer is accompanied by several genetic alterations. Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation found in the human population. SNP arrays offer a high-resolution, high-throughput technology for genome-wide analysis, allowing the simultaneous detection of genotype and copy number changes. The power of SNP arrays as a research tool has accelerated our understanding of the genetic alterations in cancer, providing potential clinical applications. Objective: This manuscript reviews the use of SNPs in cancer research and discusses the potential clinical application of analysing SNPs for cancer predisposition analysis, diagnosis and prognosis. We also discuss potential future applications for the analysis of SNPs. Methods: In writing this review, we have reflected on our own extensive experience in the field of cancer genomics and have surveyed peer-reviewed articles focussing on the application of SNPs in cancer research. In addition, we have referred to product websites. Conclusion: Since its development, SNP array technology has been extensively applied in cancer research. Information generated from SNP array analysis has been providing valuable information. With the full understanding of the rich resources of SNPs and their effects on influencing cellular function, SNP arrays will revolutionise the clinical practice in cancer risk assessment, diagnosis and prognosis making the concept of personalised medicine a reality.</description><subject>cancer</subject><subject>copy number change</subject><subject>diagnosis</subject><subject>genome-wide analysis</subject><subject>genomic change</subject><subject>loss of heterozygosity</subject><subject>personalised medicine</subject><subject>risk assessment</subject><subject>SNP microarray</subject><issn>1753-0059</issn><issn>1753-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLAzEUhYMotj5-gBuZpQuryWTSJOpGii8oKmhXLsLtTKIp00nNnSL996a0FkRwlZvDOSc3HyFHjJ4xweQ5k4JTKqimucoVz8UW6S61HqV9ub2Zhe6QPcRJmpSUapd0cl4oVfT7XfI2QpsFl708PmPmm6yEprQxm0VbeZwF9K0PTQYN1Av0eJpVHt6bJGPSqmQLq9tF1oZQb0Sc2bLFA7LjoEZ7uD73yej25nVw3xs-3T0Mroe9kues7RUwBuXAAhNC65IpmlsNzgmtnFNWFFy6gnE1dmO1_KZkuiqASi0qyaVWfJ-crHrTy59zi62ZeixtXUNjwxwN40wmOnnBk5WtrGVaEqN1Zhb9FOLCMGqWTM0fpilzvK6fj6e22iR-ICbD1crgGxfiFL5CrCvTwqIO0cUE1KPh__Vf_op_WKjbjxKiNZMwjwk9_rPdN3TiltM</recordid><startdate>20090501</startdate><enddate>20090501</enddate><creator>Boyd, Lara K</creator><creator>Mao, Xueying</creator><creator>Lu, Yong-Jie</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20090501</creationdate><title>Use of SNPs in cancer predisposition analysis, diagnosis and prognosis: tools and prospects</title><author>Boyd, Lara K ; Mao, Xueying ; Lu, Yong-Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c321t-4aba8faea15599c1802e9aff598ff8e5437f4138bfb88283719d4a0795d737983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>cancer</topic><topic>copy number change</topic><topic>diagnosis</topic><topic>genome-wide analysis</topic><topic>genomic change</topic><topic>loss of heterozygosity</topic><topic>personalised medicine</topic><topic>risk assessment</topic><topic>SNP microarray</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boyd, Lara K</creatorcontrib><creatorcontrib>Mao, Xueying</creatorcontrib><creatorcontrib>Lu, Yong-Jie</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Expert opinion on medical diagnostics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boyd, Lara K</au><au>Mao, Xueying</au><au>Lu, Yong-Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of SNPs in cancer predisposition analysis, diagnosis and prognosis: tools and prospects</atitle><jtitle>Expert opinion on medical diagnostics</jtitle><addtitle>Expert Opin Med Diagn</addtitle><date>2009-05-01</date><risdate>2009</risdate><volume>3</volume><issue>3</issue><spage>313</spage><epage>326</epage><pages>313-326</pages><issn>1753-0059</issn><eissn>1753-0067</eissn><abstract>Background: The development of cancer is accompanied by several genetic alterations. Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation found in the human population. SNP arrays offer a high-resolution, high-throughput technology for genome-wide analysis, allowing the simultaneous detection of genotype and copy number changes. The power of SNP arrays as a research tool has accelerated our understanding of the genetic alterations in cancer, providing potential clinical applications. Objective: This manuscript reviews the use of SNPs in cancer research and discusses the potential clinical application of analysing SNPs for cancer predisposition analysis, diagnosis and prognosis. We also discuss potential future applications for the analysis of SNPs. Methods: In writing this review, we have reflected on our own extensive experience in the field of cancer genomics and have surveyed peer-reviewed articles focussing on the application of SNPs in cancer research. In addition, we have referred to product websites. Conclusion: Since its development, SNP array technology has been extensively applied in cancer research. Information generated from SNP array analysis has been providing valuable information. With the full understanding of the rich resources of SNPs and their effects on influencing cellular function, SNP arrays will revolutionise the clinical practice in cancer risk assessment, diagnosis and prognosis making the concept of personalised medicine a reality.</abstract><cop>England</cop><pub>Informa UK Ltd</pub><pmid>23488466</pmid><doi>10.1517/17530050902828325</doi><tpages>14</tpages></addata></record> |
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| source | Taylor & Francis Journals Complete |
| subjects | cancer copy number change diagnosis genome-wide analysis genomic change loss of heterozygosity personalised medicine risk assessment SNP microarray |
| title | Use of SNPs in cancer predisposition analysis, diagnosis and prognosis: tools and prospects |
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