New developments in high-throughput resequencing and variation detection using high density microarrays
We developed a high‐throughput method for resequencing for single nucleotide polymorphism (SNP) discovery using high‐density microarrays. Over the two‐year course of this study a number of improvements in sample preparation methods, hybridization assay, array handling, and analysis method were devel...
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Veröffentlicht in: | Human mutation 2002-04, Vol.19 (4), p.402-409 |
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creator | Warrington, Janet A. Shah, Nila A. Chen, Xiyin Janis, Michael Liu, Chunmei Kondapalli, Sangeetha Reyes, Vivian Savage, Michael P. Zhang, Zhaomei Watts, Richard DeGuzman, Maria Berno, Anthony Snyder, Jim Baid, Jyoti |
description | We developed a high‐throughput method for resequencing for single nucleotide polymorphism (SNP) discovery using high‐density microarrays. Over the two‐year course of this study a number of improvements in sample preparation methods, hybridization assay, array handling, and analysis method were developed and implemented. DNA from 40 unrelated individuals of three different ethnic origins was amplified, labeled, and hybridized to arrays designed with probes representing genomic, coding, and regulatory regions. Protocol improvements including the use of long PCR and semi‐automation reduced labeling and fragmentation costs by 33%. Automation improvements include the development of a scanner autoloader for arrays, a faster array wash station, and a linked laboratory tracking and data management system. Validation of a smaller feature size, 20 × 24 microns, allowed the simultaneous screening of 30‐kb sense and 30‐kb antisense DNA on each microarray, increasing throughput to 1.4 Mb per day per two laboratory personnel. More than 15,000 SNPs were identified in 8.3 Mb of the human genome using high‐density resequencing and variation detection arrays (microarrays). Hum Mutat 19:402–409, 2002. © 2002 Wiley‐Liss, Inc. |
doi_str_mv | 10.1002/humu.10075 |
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Over the two‐year course of this study a number of improvements in sample preparation methods, hybridization assay, array handling, and analysis method were developed and implemented. DNA from 40 unrelated individuals of three different ethnic origins was amplified, labeled, and hybridized to arrays designed with probes representing genomic, coding, and regulatory regions. Protocol improvements including the use of long PCR and semi‐automation reduced labeling and fragmentation costs by 33%. Automation improvements include the development of a scanner autoloader for arrays, a faster array wash station, and a linked laboratory tracking and data management system. Validation of a smaller feature size, 20 × 24 microns, allowed the simultaneous screening of 30‐kb sense and 30‐kb antisense DNA on each microarray, increasing throughput to 1.4 Mb per day per two laboratory personnel. More than 15,000 SNPs were identified in 8.3 Mb of the human genome using high‐density resequencing and variation detection arrays (microarrays). Hum Mutat 19:402–409, 2002. © 2002 Wiley‐Liss, Inc.</description><identifier>ISSN: 1059-7794</identifier><identifier>EISSN: 1098-1004</identifier><identifier>DOI: 10.1002/humu.10075</identifier><identifier>PMID: 11933194</identifier><language>eng</language><publisher>New York: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Automation ; Base Sequence ; Continental Population Groups - genetics ; Female ; Gene Frequency ; Genetic Variation - genetics ; Genome, Human ; genotype ; Humans ; Male ; microarray ; mutation detection ; Oligonucleotide Array Sequence Analysis - instrumentation ; Oligonucleotide Array Sequence Analysis - methods ; Polymorphism, Single Nucleotide - genetics ; RNA, Messenger - analysis ; RNA, Messenger - genetics ; Sequence Analysis, DNA - instrumentation ; Sequence Analysis, DNA - methods ; SNPs ; Software</subject><ispartof>Human mutation, 2002-04, Vol.19 (4), p.402-409</ispartof><rights>Copyright © 2002 Wiley‐Liss, Inc.</rights><rights>Copyright 2002 Wiley-Liss, Inc.</rights><rights>Copyright © 2002 Wiley-Liss, Inc., A Wiley Company</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4585-e5a0667451a9cf0a0755ae445e205f6738ec60a78b7384c6e7322acdde37fba63</citedby><cites>FETCH-LOGICAL-c4585-e5a0667451a9cf0a0755ae445e205f6738ec60a78b7384c6e7322acdde37fba63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhumu.10075$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhumu.10075$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11933194$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Warrington, Janet A.</creatorcontrib><creatorcontrib>Shah, Nila A.</creatorcontrib><creatorcontrib>Chen, Xiyin</creatorcontrib><creatorcontrib>Janis, Michael</creatorcontrib><creatorcontrib>Liu, Chunmei</creatorcontrib><creatorcontrib>Kondapalli, Sangeetha</creatorcontrib><creatorcontrib>Reyes, Vivian</creatorcontrib><creatorcontrib>Savage, Michael P.</creatorcontrib><creatorcontrib>Zhang, Zhaomei</creatorcontrib><creatorcontrib>Watts, Richard</creatorcontrib><creatorcontrib>DeGuzman, Maria</creatorcontrib><creatorcontrib>Berno, Anthony</creatorcontrib><creatorcontrib>Snyder, Jim</creatorcontrib><creatorcontrib>Baid, Jyoti</creatorcontrib><title>New developments in high-throughput resequencing and variation detection using high density microarrays</title><title>Human mutation</title><addtitle>Hum. Mutat</addtitle><description>We developed a high‐throughput method for resequencing for single nucleotide polymorphism (SNP) discovery using high‐density microarrays. Over the two‐year course of this study a number of improvements in sample preparation methods, hybridization assay, array handling, and analysis method were developed and implemented. DNA from 40 unrelated individuals of three different ethnic origins was amplified, labeled, and hybridized to arrays designed with probes representing genomic, coding, and regulatory regions. Protocol improvements including the use of long PCR and semi‐automation reduced labeling and fragmentation costs by 33%. Automation improvements include the development of a scanner autoloader for arrays, a faster array wash station, and a linked laboratory tracking and data management system. Validation of a smaller feature size, 20 × 24 microns, allowed the simultaneous screening of 30‐kb sense and 30‐kb antisense DNA on each microarray, increasing throughput to 1.4 Mb per day per two laboratory personnel. More than 15,000 SNPs were identified in 8.3 Mb of the human genome using high‐density resequencing and variation detection arrays (microarrays). Hum Mutat 19:402–409, 2002. © 2002 Wiley‐Liss, Inc.</description><subject>Automation</subject><subject>Base Sequence</subject><subject>Continental Population Groups - genetics</subject><subject>Female</subject><subject>Gene Frequency</subject><subject>Genetic Variation - genetics</subject><subject>Genome, Human</subject><subject>genotype</subject><subject>Humans</subject><subject>Male</subject><subject>microarray</subject><subject>mutation detection</subject><subject>Oligonucleotide Array Sequence Analysis - instrumentation</subject><subject>Oligonucleotide Array Sequence Analysis - methods</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>RNA, Messenger - analysis</subject><subject>RNA, Messenger - genetics</subject><subject>Sequence Analysis, DNA - instrumentation</subject><subject>Sequence Analysis, DNA - methods</subject><subject>SNPs</subject><subject>Software</subject><issn>1059-7794</issn><issn>1098-1004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtv1DAUhS1URB-w4QdUURcsKgXsxI94iYZ2pmopQmJgaXmcm4lL4kztuGX-PU5nKBILVj62v3N070HoLcHvCcbFhzb2cVKCvUBHBMsqTxd6MGkmcyEkPUTHIdxhjCvGylfokBBZlkTSI7S-hceshgfohk0PbgyZdVlr120-tn6I63YTx8xDgPsIzli3zrSrswftrR7t4JJ1BPOkYph-J2t6dMGO26y3xg_ae70Nr9HLRncB3uzPE7S8vPg2W-Q3X-ZXs483uaGsYjkwjTkXlBEtTYN12olpoJRBgVnDRVmB4ViLapUkNRxEWRTa1DWUollpXp6gd7vcjR_SyGFUvQ0Guk47GGJQgjBOOS0SePYPeDdE79JsikhRcIILmaDzHZT2CMFDozbe9tpvFcFq6l5N3aun7hN8uk-Mqx7qv-i-7ASQHfBoO9j-J0otlp-Xf0LznceGEX49e7T_qVIbCf1xO1cSf70W3zlVn8rfyQ6flg</recordid><startdate>200204</startdate><enddate>200204</enddate><creator>Warrington, Janet A.</creator><creator>Shah, Nila A.</creator><creator>Chen, Xiyin</creator><creator>Janis, Michael</creator><creator>Liu, Chunmei</creator><creator>Kondapalli, Sangeetha</creator><creator>Reyes, Vivian</creator><creator>Savage, Michael P.</creator><creator>Zhang, Zhaomei</creator><creator>Watts, Richard</creator><creator>DeGuzman, Maria</creator><creator>Berno, Anthony</creator><creator>Snyder, Jim</creator><creator>Baid, Jyoti</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Hindawi Limited</general><scope>BSCLL</scope><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>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>200204</creationdate><title>New developments in high-throughput resequencing and variation detection using high density microarrays</title><author>Warrington, Janet A. ; Shah, Nila A. ; Chen, Xiyin ; Janis, Michael ; Liu, Chunmei ; Kondapalli, Sangeetha ; Reyes, Vivian ; Savage, Michael P. ; Zhang, Zhaomei ; Watts, Richard ; DeGuzman, Maria ; Berno, Anthony ; Snyder, Jim ; Baid, Jyoti</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4585-e5a0667451a9cf0a0755ae445e205f6738ec60a78b7384c6e7322acdde37fba63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Automation</topic><topic>Base Sequence</topic><topic>Continental Population Groups - genetics</topic><topic>Female</topic><topic>Gene Frequency</topic><topic>Genetic Variation - genetics</topic><topic>Genome, Human</topic><topic>genotype</topic><topic>Humans</topic><topic>Male</topic><topic>microarray</topic><topic>mutation detection</topic><topic>Oligonucleotide Array Sequence Analysis - instrumentation</topic><topic>Oligonucleotide Array Sequence Analysis - methods</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>RNA, Messenger - analysis</topic><topic>RNA, Messenger - genetics</topic><topic>Sequence Analysis, DNA - instrumentation</topic><topic>Sequence Analysis, DNA - methods</topic><topic>SNPs</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Warrington, Janet A.</creatorcontrib><creatorcontrib>Shah, Nila A.</creatorcontrib><creatorcontrib>Chen, Xiyin</creatorcontrib><creatorcontrib>Janis, Michael</creatorcontrib><creatorcontrib>Liu, Chunmei</creatorcontrib><creatorcontrib>Kondapalli, Sangeetha</creatorcontrib><creatorcontrib>Reyes, Vivian</creatorcontrib><creatorcontrib>Savage, Michael P.</creatorcontrib><creatorcontrib>Zhang, Zhaomei</creatorcontrib><creatorcontrib>Watts, Richard</creatorcontrib><creatorcontrib>DeGuzman, Maria</creatorcontrib><creatorcontrib>Berno, Anthony</creatorcontrib><creatorcontrib>Snyder, Jim</creatorcontrib><creatorcontrib>Baid, Jyoti</creatorcontrib><collection>Istex</collection><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>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences 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>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>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>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>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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Mutat</addtitle><date>2002-04</date><risdate>2002</risdate><volume>19</volume><issue>4</issue><spage>402</spage><epage>409</epage><pages>402-409</pages><issn>1059-7794</issn><eissn>1098-1004</eissn><abstract>We developed a high‐throughput method for resequencing for single nucleotide polymorphism (SNP) discovery using high‐density microarrays. Over the two‐year course of this study a number of improvements in sample preparation methods, hybridization assay, array handling, and analysis method were developed and implemented. DNA from 40 unrelated individuals of three different ethnic origins was amplified, labeled, and hybridized to arrays designed with probes representing genomic, coding, and regulatory regions. Protocol improvements including the use of long PCR and semi‐automation reduced labeling and fragmentation costs by 33%. Automation improvements include the development of a scanner autoloader for arrays, a faster array wash station, and a linked laboratory tracking and data management system. Validation of a smaller feature size, 20 × 24 microns, allowed the simultaneous screening of 30‐kb sense and 30‐kb antisense DNA on each microarray, increasing throughput to 1.4 Mb per day per two laboratory personnel. More than 15,000 SNPs were identified in 8.3 Mb of the human genome using high‐density resequencing and variation detection arrays (microarrays). Hum Mutat 19:402–409, 2002. © 2002 Wiley‐Liss, Inc.</abstract><cop>New York</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>11933194</pmid><doi>10.1002/humu.10075</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Automation Base Sequence Continental Population Groups - genetics Female Gene Frequency Genetic Variation - genetics Genome, Human genotype Humans Male microarray mutation detection Oligonucleotide Array Sequence Analysis - instrumentation Oligonucleotide Array Sequence Analysis - methods Polymorphism, Single Nucleotide - genetics RNA, Messenger - analysis RNA, Messenger - genetics Sequence Analysis, DNA - instrumentation Sequence Analysis, DNA - methods SNPs Software |
title | New developments in high-throughput resequencing and variation detection using high density microarrays |
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