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Automated DNA mutation detection using universal conditions direct sequencing: application to ten muscular dystrophy genes
One of the most common and efficient methods for detecting mutations in genes is PCR amplification followed by direct sequencing. Until recently, the process of designing PCR assays has been to focus on individual assay parameters rather than concentrating on matching conditions for a set of assays....
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Published in: | BMC genetics 2009-10, Vol.10 (1), p.66-66, Article 66 |
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creator | Bennett, Richard R Schneider, Hal E Estrella, Elicia Burgess, Stephanie Cheng, Andrew S Barrett, Caitlin Lip, Va Lai, Poh San Shen, Yiping Wu, Bai-Lin Darras, Basil T Beggs, Alan H Kunkel, Louis M |
description | One of the most common and efficient methods for detecting mutations in genes is PCR amplification followed by direct sequencing. Until recently, the process of designing PCR assays has been to focus on individual assay parameters rather than concentrating on matching conditions for a set of assays. Primers for each individual assay were selected based on location and sequence concerns. The two primer sequences were then iteratively adjusted to make the individual assays work properly. This generally resulted in groups of assays with different annealing temperatures that required the use of multiple thermal cyclers or multiple passes in a single thermal cycler making diagnostic testing time-consuming, laborious and expensive.These factors have severely hampered diagnostic testing services, leaving many families without an answer for the exact cause of a familial genetic disease. A search of GeneTests for sequencing analysis of the entire coding sequence for genes that are known to cause muscular dystrophies returns only a small list of laboratories that perform comprehensive gene panels.The hypothesis for the study was that a complete set of universal assays can be designed to amplify and sequence any gene or family of genes using computer aided design tools. If true, this would allow automation and optimization of the mutation detection process resulting in reduced cost and increased throughput.
An automated process has been developed for the detection of deletions, duplications/insertions and point mutations in any gene or family of genes and has been applied to ten genes known to bear mutations that cause muscular dystrophy: DMD; CAV3; CAPN3; FKRP; TRIM32; LMNA; SGCA; SGCB; SGCG; SGCD. Using this process, mutations have been found in five DMD patients and four LGMD patients (one in the FKRP gene, one in the CAV3 gene, and two likely causative heterozygous pairs of variations in the CAPN3 gene of two other patients). Methods and assay sequences are reported in this paper.
This automated process allows laboratories to discover DNA variations in a short time and at low cost. |
doi_str_mv | 10.1186/1471-2156-10-66 |
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An automated process has been developed for the detection of deletions, duplications/insertions and point mutations in any gene or family of genes and has been applied to ten genes known to bear mutations that cause muscular dystrophy: DMD; CAV3; CAPN3; FKRP; TRIM32; LMNA; SGCA; SGCB; SGCG; SGCD. Using this process, mutations have been found in five DMD patients and four LGMD patients (one in the FKRP gene, one in the CAV3 gene, and two likely causative heterozygous pairs of variations in the CAPN3 gene of two other patients). Methods and assay sequences are reported in this paper.
This automated process allows laboratories to discover DNA variations in a short time and at low cost.</description><identifier>ISSN: 1471-2156</identifier><identifier>EISSN: 1471-2156</identifier><identifier>DOI: 10.1186/1471-2156-10-66</identifier><identifier>PMID: 19835634</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Automation ; Causes of ; DNA Mutational Analysis - economics ; DNA Mutational Analysis - methods ; DNA Primers ; Gene mutations ; Genetic aspects ; Health aspects ; Humans ; Methodology ; Muscular Dystrophies - genetics ; Muscular dystrophy ; Polymerase chain reaction ; Polymerase Chain Reaction - economics ; Polymerase Chain Reaction - methods</subject><ispartof>BMC genetics, 2009-10, Vol.10 (1), p.66-66, Article 66</ispartof><rights>COPYRIGHT 2009 BioMed Central Ltd.</rights><rights>Copyright ©2009 Bennett et al; licensee BioMed Central Ltd. 2009 Bennett et al; licensee BioMed Central Ltd.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b624t-fa3b7179729a710c324c8743179247813a8d6c1d116f8a59619d56df68d530693</citedby><cites>FETCH-LOGICAL-b624t-fa3b7179729a710c324c8743179247813a8d6c1d116f8a59619d56df68d530693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781300/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781300/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19835634$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bennett, Richard R</creatorcontrib><creatorcontrib>Schneider, Hal E</creatorcontrib><creatorcontrib>Estrella, Elicia</creatorcontrib><creatorcontrib>Burgess, Stephanie</creatorcontrib><creatorcontrib>Cheng, Andrew S</creatorcontrib><creatorcontrib>Barrett, Caitlin</creatorcontrib><creatorcontrib>Lip, Va</creatorcontrib><creatorcontrib>Lai, Poh San</creatorcontrib><creatorcontrib>Shen, Yiping</creatorcontrib><creatorcontrib>Wu, Bai-Lin</creatorcontrib><creatorcontrib>Darras, Basil T</creatorcontrib><creatorcontrib>Beggs, Alan H</creatorcontrib><creatorcontrib>Kunkel, Louis M</creatorcontrib><title>Automated DNA mutation detection using universal conditions direct sequencing: application to ten muscular dystrophy genes</title><title>BMC genetics</title><addtitle>BMC Genet</addtitle><description>One of the most common and efficient methods for detecting mutations in genes is PCR amplification followed by direct sequencing. Until recently, the process of designing PCR assays has been to focus on individual assay parameters rather than concentrating on matching conditions for a set of assays. Primers for each individual assay were selected based on location and sequence concerns. The two primer sequences were then iteratively adjusted to make the individual assays work properly. This generally resulted in groups of assays with different annealing temperatures that required the use of multiple thermal cyclers or multiple passes in a single thermal cycler making diagnostic testing time-consuming, laborious and expensive.These factors have severely hampered diagnostic testing services, leaving many families without an answer for the exact cause of a familial genetic disease. A search of GeneTests for sequencing analysis of the entire coding sequence for genes that are known to cause muscular dystrophies returns only a small list of laboratories that perform comprehensive gene panels.The hypothesis for the study was that a complete set of universal assays can be designed to amplify and sequence any gene or family of genes using computer aided design tools. If true, this would allow automation and optimization of the mutation detection process resulting in reduced cost and increased throughput.
An automated process has been developed for the detection of deletions, duplications/insertions and point mutations in any gene or family of genes and has been applied to ten genes known to bear mutations that cause muscular dystrophy: DMD; CAV3; CAPN3; FKRP; TRIM32; LMNA; SGCA; SGCB; SGCG; SGCD. Using this process, mutations have been found in five DMD patients and four LGMD patients (one in the FKRP gene, one in the CAV3 gene, and two likely causative heterozygous pairs of variations in the CAPN3 gene of two other patients). Methods and assay sequences are reported in this paper.
This automated process allows laboratories to discover DNA variations in a short time and at low cost.</description><subject>Automation</subject><subject>Causes of</subject><subject>DNA Mutational Analysis - economics</subject><subject>DNA Mutational Analysis - methods</subject><subject>DNA Primers</subject><subject>Gene mutations</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Methodology</subject><subject>Muscular Dystrophies - genetics</subject><subject>Muscular dystrophy</subject><subject>Polymerase chain reaction</subject><subject>Polymerase Chain Reaction - economics</subject><subject>Polymerase Chain Reaction - methods</subject><issn>1471-2156</issn><issn>1471-2156</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqNkltrHCEUgIfS0qTbPvet-Fb6MIm3UacPhW16WwgN9PYqjjoTw8y4USd0--vrZJY0Cy0UBeWczw-Px6J4juAJQoKdIspRiVHFSgRLxh4Ux3eRh_f2R8WTGK8gRFxg-rg4QrUgFSP0uPi1npIfVLIGvPu8BsOUVHJ-BMYmq293U3RjB6bR3dgQVQ-0H42bMxEYFzIEor2e7Kgz9hqo7bZ3enEkD5IdszPqqVcBmF1MwW8vd6Czo41Pi0et6qN9tl9XxfcP77-dfSrPLz5uztbnZcMwTWWrSMMRrzmuFUdQE0y14JTkEKZcIKKEYRoZhFgrVFUzVJuKmZYJUxHIarIqNovXeHUlt8ENKuykV07eBnzopArJ6d5KUVnBYdNQLGqqmWrquqqoqDCCUFMMs-vN4tpOzWCNtmMKqj-QHmZGdyk7fyPxfFM4C94ugsb5fwgOM9oPcu6jnPsoEZSMZcnL_S2Cz08fkxxc1Lbv1Wj9FCUnhOVmI57Jk4XsVC7Pja3PUp2HsYPLnbSty_E1RphSQfJcFa8ODmQm2Z-pU1OMcvP1y_-zFz8O2dOF1cHHGGx7V3Iuaf7Kfynyxf2n_sPv_y75DRkk7i8</recordid><startdate>20091018</startdate><enddate>20091018</enddate><creator>Bennett, Richard R</creator><creator>Schneider, Hal E</creator><creator>Estrella, Elicia</creator><creator>Burgess, Stephanie</creator><creator>Cheng, Andrew S</creator><creator>Barrett, Caitlin</creator><creator>Lip, Va</creator><creator>Lai, Poh San</creator><creator>Shen, Yiping</creator><creator>Wu, Bai-Lin</creator><creator>Darras, Basil T</creator><creator>Beggs, Alan H</creator><creator>Kunkel, Louis M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20091018</creationdate><title>Automated DNA mutation detection using universal conditions direct sequencing: application to ten muscular dystrophy genes</title><author>Bennett, Richard R ; Schneider, Hal E ; Estrella, Elicia ; Burgess, Stephanie ; Cheng, Andrew S ; Barrett, Caitlin ; Lip, Va ; Lai, Poh San ; Shen, Yiping ; Wu, Bai-Lin ; Darras, Basil T ; Beggs, Alan H ; Kunkel, Louis M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b624t-fa3b7179729a710c324c8743179247813a8d6c1d116f8a59619d56df68d530693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Automation</topic><topic>Causes of</topic><topic>DNA Mutational Analysis - economics</topic><topic>DNA Mutational Analysis - methods</topic><topic>DNA Primers</topic><topic>Gene mutations</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Methodology</topic><topic>Muscular Dystrophies - genetics</topic><topic>Muscular dystrophy</topic><topic>Polymerase chain reaction</topic><topic>Polymerase Chain Reaction - economics</topic><topic>Polymerase Chain Reaction - methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Bennett, Richard R</creatorcontrib><creatorcontrib>Schneider, Hal E</creatorcontrib><creatorcontrib>Estrella, Elicia</creatorcontrib><creatorcontrib>Burgess, Stephanie</creatorcontrib><creatorcontrib>Cheng, Andrew S</creatorcontrib><creatorcontrib>Barrett, Caitlin</creatorcontrib><creatorcontrib>Lip, Va</creatorcontrib><creatorcontrib>Lai, Poh San</creatorcontrib><creatorcontrib>Shen, Yiping</creatorcontrib><creatorcontrib>Wu, Bai-Lin</creatorcontrib><creatorcontrib>Darras, Basil T</creatorcontrib><creatorcontrib>Beggs, Alan H</creatorcontrib><creatorcontrib>Kunkel, Louis M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bennett, Richard R</au><au>Schneider, Hal E</au><au>Estrella, Elicia</au><au>Burgess, Stephanie</au><au>Cheng, Andrew S</au><au>Barrett, Caitlin</au><au>Lip, Va</au><au>Lai, Poh San</au><au>Shen, Yiping</au><au>Wu, Bai-Lin</au><au>Darras, Basil T</au><au>Beggs, Alan H</au><au>Kunkel, Louis M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated DNA mutation detection using universal conditions direct sequencing: application to ten muscular dystrophy genes</atitle><jtitle>BMC genetics</jtitle><addtitle>BMC Genet</addtitle><date>2009-10-18</date><risdate>2009</risdate><volume>10</volume><issue>1</issue><spage>66</spage><epage>66</epage><pages>66-66</pages><artnum>66</artnum><issn>1471-2156</issn><eissn>1471-2156</eissn><abstract>One of the most common and efficient methods for detecting mutations in genes is PCR amplification followed by direct sequencing. Until recently, the process of designing PCR assays has been to focus on individual assay parameters rather than concentrating on matching conditions for a set of assays. Primers for each individual assay were selected based on location and sequence concerns. The two primer sequences were then iteratively adjusted to make the individual assays work properly. This generally resulted in groups of assays with different annealing temperatures that required the use of multiple thermal cyclers or multiple passes in a single thermal cycler making diagnostic testing time-consuming, laborious and expensive.These factors have severely hampered diagnostic testing services, leaving many families without an answer for the exact cause of a familial genetic disease. A search of GeneTests for sequencing analysis of the entire coding sequence for genes that are known to cause muscular dystrophies returns only a small list of laboratories that perform comprehensive gene panels.The hypothesis for the study was that a complete set of universal assays can be designed to amplify and sequence any gene or family of genes using computer aided design tools. If true, this would allow automation and optimization of the mutation detection process resulting in reduced cost and increased throughput.
An automated process has been developed for the detection of deletions, duplications/insertions and point mutations in any gene or family of genes and has been applied to ten genes known to bear mutations that cause muscular dystrophy: DMD; CAV3; CAPN3; FKRP; TRIM32; LMNA; SGCA; SGCB; SGCG; SGCD. Using this process, mutations have been found in five DMD patients and four LGMD patients (one in the FKRP gene, one in the CAV3 gene, and two likely causative heterozygous pairs of variations in the CAPN3 gene of two other patients). Methods and assay sequences are reported in this paper.
This automated process allows laboratories to discover DNA variations in a short time and at low cost.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>19835634</pmid><doi>10.1186/1471-2156-10-66</doi><oa>free_for_read</oa></addata></record> |
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subjects | Automation Causes of DNA Mutational Analysis - economics DNA Mutational Analysis - methods DNA Primers Gene mutations Genetic aspects Health aspects Humans Methodology Muscular Dystrophies - genetics Muscular dystrophy Polymerase chain reaction Polymerase Chain Reaction - economics Polymerase Chain Reaction - methods |
title | Automated DNA mutation detection using universal conditions direct sequencing: application to ten muscular dystrophy genes |
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