Dual redundant sequencing strategy: Full‐length gene characterisation of 1056 novel and confirmatory HLA alleles
The high‐throughput department of DKMS Life Science Lab encounters novel human leukocyte antigen (HLA) alleles on a daily basis. To characterise these alleles, we have developed a system to sequence the whole gene from 5′‐ to 3′‐UTR for the HLA loci A, B, C, DQB1 and DPB1 for submission to the Europ...
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Veröffentlicht in: | HLA 2017-08, Vol.90 (2), p.79-87 |
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creator | Albrecht, V. Zweiniger, C. Surendranath, V. Lang, K. Schöfl, G. Dahl, A. Winkler, S. Lange, V. Böhme, I. Schmidt, A. H. |
description | The high‐throughput department of DKMS Life Science Lab encounters novel human leukocyte antigen (HLA) alleles on a daily basis. To characterise these alleles, we have developed a system to sequence the whole gene from 5′‐ to 3′‐UTR for the HLA loci A, B, C, DQB1 and DPB1 for submission to the European Molecular Biology Laboratory – European Nucleotide Archive (EMBL‐ENA) and the IPD‐IMGT/HLA Database. Our workflow is based on a dual redundant sequencing strategy. Using shotgun sequencing on an Illumina MiSeq instrument and single molecule real‐time (SMRT) sequencing on a PacBio RS II instrument, we are able to achieve highly accurate HLA full‐length consensus sequences. Remaining conflicts are resolved using the R package DR2S (Dual Redundant Reference Sequencing). Given the relatively high throughput of this strategy, we have developed the semi‐automated web service TypeLoader, to aid in the submission of sequences to the EMBL‐ENA and the IPD‐IMGT/HLA Database. In the IPD‐IMGT/HLA Database release 3.24.0 (April 2016; prior to the submission of the sequences described here), only 5.2% of all known HLA alleles have been fully characterised together with intronic and UTR sequences. So far, we have applied our strategy to characterise and submit 1056 HLA alleles, thereby more than doubling the number of fully characterised alleles. Given the increasing application of next generation sequencing (NGS) for full gene characterisation in clinical practice, extending the HLA database concomitantly is highly desirable. Therefore, we propose this dual redundant sequencing strategy as a workflow for submission of novel full‐length alleles and characterisation of sequences that are as yet incomplete. This would help to mitigate the predominance of partially known alleles in the database. |
doi_str_mv | 10.1111/tan.13057 |
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H.</creator><creatorcontrib>Albrecht, V. ; Zweiniger, C. ; Surendranath, V. ; Lang, K. ; Schöfl, G. ; Dahl, A. ; Winkler, S. ; Lange, V. ; Böhme, I. ; Schmidt, A. H.</creatorcontrib><description>The high‐throughput department of DKMS Life Science Lab encounters novel human leukocyte antigen (HLA) alleles on a daily basis. To characterise these alleles, we have developed a system to sequence the whole gene from 5′‐ to 3′‐UTR for the HLA loci A, B, C, DQB1 and DPB1 for submission to the European Molecular Biology Laboratory – European Nucleotide Archive (EMBL‐ENA) and the IPD‐IMGT/HLA Database. Our workflow is based on a dual redundant sequencing strategy. Using shotgun sequencing on an Illumina MiSeq instrument and single molecule real‐time (SMRT) sequencing on a PacBio RS II instrument, we are able to achieve highly accurate HLA full‐length consensus sequences. Remaining conflicts are resolved using the R package DR2S (Dual Redundant Reference Sequencing). Given the relatively high throughput of this strategy, we have developed the semi‐automated web service TypeLoader, to aid in the submission of sequences to the EMBL‐ENA and the IPD‐IMGT/HLA Database. In the IPD‐IMGT/HLA Database release 3.24.0 (April 2016; prior to the submission of the sequences described here), only 5.2% of all known HLA alleles have been fully characterised together with intronic and UTR sequences. So far, we have applied our strategy to characterise and submit 1056 HLA alleles, thereby more than doubling the number of fully characterised alleles. Given the increasing application of next generation sequencing (NGS) for full gene characterisation in clinical practice, extending the HLA database concomitantly is highly desirable. Therefore, we propose this dual redundant sequencing strategy as a workflow for submission of novel full‐length alleles and characterisation of sequences that are as yet incomplete. This would help to mitigate the predominance of partially known alleles in the database.</description><identifier>ISSN: 2059-2302</identifier><identifier>EISSN: 2059-2310</identifier><identifier>DOI: 10.1111/tan.13057</identifier><identifier>PMID: 28547825</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Alleles ; Databases, Nucleic Acid ; full‐length gene sequencing ; Genetic Loci ; High-Throughput Nucleotide Sequencing - methods ; HLA Antigens - genetics ; HLA typing ; Humans ; NGS ; novel HLA alleles ; Original ; PacBio</subject><ispartof>HLA, 2017-08, Vol.90 (2), p.79-87</ispartof><rights>2017 The Authors. HLA: Immune Response Genetics Published by John Wiley & Sons Ltd.</rights><rights>2017 John Wiley & Sons A/S. 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H.</creatorcontrib><title>Dual redundant sequencing strategy: Full‐length gene characterisation of 1056 novel and confirmatory HLA alleles</title><title>HLA</title><addtitle>HLA</addtitle><description>The high‐throughput department of DKMS Life Science Lab encounters novel human leukocyte antigen (HLA) alleles on a daily basis. To characterise these alleles, we have developed a system to sequence the whole gene from 5′‐ to 3′‐UTR for the HLA loci A, B, C, DQB1 and DPB1 for submission to the European Molecular Biology Laboratory – European Nucleotide Archive (EMBL‐ENA) and the IPD‐IMGT/HLA Database. Our workflow is based on a dual redundant sequencing strategy. Using shotgun sequencing on an Illumina MiSeq instrument and single molecule real‐time (SMRT) sequencing on a PacBio RS II instrument, we are able to achieve highly accurate HLA full‐length consensus sequences. Remaining conflicts are resolved using the R package DR2S (Dual Redundant Reference Sequencing). Given the relatively high throughput of this strategy, we have developed the semi‐automated web service TypeLoader, to aid in the submission of sequences to the EMBL‐ENA and the IPD‐IMGT/HLA Database. In the IPD‐IMGT/HLA Database release 3.24.0 (April 2016; prior to the submission of the sequences described here), only 5.2% of all known HLA alleles have been fully characterised together with intronic and UTR sequences. So far, we have applied our strategy to characterise and submit 1056 HLA alleles, thereby more than doubling the number of fully characterised alleles. Given the increasing application of next generation sequencing (NGS) for full gene characterisation in clinical practice, extending the HLA database concomitantly is highly desirable. Therefore, we propose this dual redundant sequencing strategy as a workflow for submission of novel full‐length alleles and characterisation of sequences that are as yet incomplete. This would help to mitigate the predominance of partially known alleles in the database.</description><subject>Alleles</subject><subject>Databases, Nucleic Acid</subject><subject>full‐length gene sequencing</subject><subject>Genetic Loci</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>HLA Antigens - genetics</subject><subject>HLA typing</subject><subject>Humans</subject><subject>NGS</subject><subject>novel HLA alleles</subject><subject>Original</subject><subject>PacBio</subject><issn>2059-2302</issn><issn>2059-2310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kE1OwzAQhS0EAgQsuADylkWpncRxwgKp4l-qYFPW1iQep5ZcB-wE1B1H4IychEChggWzeSPNm280j5BDzk74UOMO_AlPmZAbZDdhohwlKWeb654lO-QgRluxJC8ly2W5TXaSQmSySMQuCRc9OBpQ916D72jEpx59bX1DYxegw2Z5Sq96595f3xz6ppvTBj3Seg4B6g6DjdDZ1tPWUM5ETn37jI6C17RuvbFhAV0blvRmOqHgHDqM-2TLgIt48K175OHqcnZ-M5reX9-eT6ajOuNCjqTOoESpIdVVVaRCFoxVUBeY5chNrhkKU2XloCCB67JMq7QwLJMiz0o0Jt0jZyvuY18tUNfoh4ecegx2AWGpWrDq78TbuWraZ5WzIktZMQCOV4A6tDEGNOtdztRn9mrIXn1lP3iPfh9bO3-SHgzjleHFOlz-T1Kzyd0K-QEVHpIs</recordid><startdate>201708</startdate><enddate>201708</enddate><creator>Albrecht, V.</creator><creator>Zweiniger, C.</creator><creator>Surendranath, V.</creator><creator>Lang, K.</creator><creator>Schöfl, G.</creator><creator>Dahl, A.</creator><creator>Winkler, S.</creator><creator>Lange, V.</creator><creator>Böhme, I.</creator><creator>Schmidt, A. H.</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>WIN</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>5PM</scope><orcidid>https://orcid.org/0000-0003-3000-3205</orcidid><orcidid>https://orcid.org/0000-0001-6304-3989</orcidid><orcidid>https://orcid.org/0000-0003-1593-6461</orcidid><orcidid>https://orcid.org/0000-0002-6442-9573</orcidid></search><sort><creationdate>201708</creationdate><title>Dual redundant sequencing strategy: Full‐length gene characterisation of 1056 novel and confirmatory HLA alleles</title><author>Albrecht, V. ; Zweiniger, C. ; Surendranath, V. ; Lang, K. ; Schöfl, G. ; Dahl, A. ; Winkler, S. ; Lange, V. ; Böhme, I. ; Schmidt, A. H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4157-7d4a9e7da3dbb8357800bac8e46e1f6d0e5fb49d0ea7a1d993b38f0475649eff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Alleles</topic><topic>Databases, Nucleic Acid</topic><topic>full‐length gene sequencing</topic><topic>Genetic Loci</topic><topic>High-Throughput Nucleotide Sequencing - methods</topic><topic>HLA Antigens - genetics</topic><topic>HLA typing</topic><topic>Humans</topic><topic>NGS</topic><topic>novel HLA alleles</topic><topic>Original</topic><topic>PacBio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Albrecht, V.</creatorcontrib><creatorcontrib>Zweiniger, C.</creatorcontrib><creatorcontrib>Surendranath, V.</creatorcontrib><creatorcontrib>Lang, K.</creatorcontrib><creatorcontrib>Schöfl, G.</creatorcontrib><creatorcontrib>Dahl, A.</creatorcontrib><creatorcontrib>Winkler, S.</creatorcontrib><creatorcontrib>Lange, V.</creatorcontrib><creatorcontrib>Böhme, I.</creatorcontrib><creatorcontrib>Schmidt, A. 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H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dual redundant sequencing strategy: Full‐length gene characterisation of 1056 novel and confirmatory HLA alleles</atitle><jtitle>HLA</jtitle><addtitle>HLA</addtitle><date>2017-08</date><risdate>2017</risdate><volume>90</volume><issue>2</issue><spage>79</spage><epage>87</epage><pages>79-87</pages><issn>2059-2302</issn><eissn>2059-2310</eissn><abstract>The high‐throughput department of DKMS Life Science Lab encounters novel human leukocyte antigen (HLA) alleles on a daily basis. To characterise these alleles, we have developed a system to sequence the whole gene from 5′‐ to 3′‐UTR for the HLA loci A, B, C, DQB1 and DPB1 for submission to the European Molecular Biology Laboratory – European Nucleotide Archive (EMBL‐ENA) and the IPD‐IMGT/HLA Database. Our workflow is based on a dual redundant sequencing strategy. Using shotgun sequencing on an Illumina MiSeq instrument and single molecule real‐time (SMRT) sequencing on a PacBio RS II instrument, we are able to achieve highly accurate HLA full‐length consensus sequences. Remaining conflicts are resolved using the R package DR2S (Dual Redundant Reference Sequencing). Given the relatively high throughput of this strategy, we have developed the semi‐automated web service TypeLoader, to aid in the submission of sequences to the EMBL‐ENA and the IPD‐IMGT/HLA Database. In the IPD‐IMGT/HLA Database release 3.24.0 (April 2016; prior to the submission of the sequences described here), only 5.2% of all known HLA alleles have been fully characterised together with intronic and UTR sequences. So far, we have applied our strategy to characterise and submit 1056 HLA alleles, thereby more than doubling the number of fully characterised alleles. Given the increasing application of next generation sequencing (NGS) for full gene characterisation in clinical practice, extending the HLA database concomitantly is highly desirable. Therefore, we propose this dual redundant sequencing strategy as a workflow for submission of novel full‐length alleles and characterisation of sequences that are as yet incomplete. This would help to mitigate the predominance of partially known alleles in the database.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>28547825</pmid><doi>10.1111/tan.13057</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-3000-3205</orcidid><orcidid>https://orcid.org/0000-0001-6304-3989</orcidid><orcidid>https://orcid.org/0000-0003-1593-6461</orcidid><orcidid>https://orcid.org/0000-0002-6442-9573</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alleles Databases, Nucleic Acid full‐length gene sequencing Genetic Loci High-Throughput Nucleotide Sequencing - methods HLA Antigens - genetics HLA typing Humans NGS novel HLA alleles Original PacBio |
title | Dual redundant sequencing strategy: Full‐length gene characterisation of 1056 novel and confirmatory HLA alleles |
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