Concordance between variants detected by clinical exome, gene panel and Sanger sequencing

Bibliographic Details
Main Author: Mendonça, Joana
Publication Date: 2017
Other Authors: Silva, Catarina, Theisen, Patrícia, Gonçalves, João, Vieira, Luís
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.18/5347
Summary: Introduction:Exome sequencing (ES) is becoming a preferred methodology for detecting DNA changes in genetic diseases with no known molecular cause or no definitive diagnosis. This results from the fact that next-generation sequencing technology allows a greater number of bases to be sequenced at an increasingly lower cost. However, sequencing a high number of genes requires an evaluation of the analytical performance of ES before it is used in the clinical setting. Methods: Fifteen genomic DNA samples were used to prepare sequencing libraries with the TruSight One Sequencing Panel (Illumina) consisting of 4813 disease-associated genes ('clinical exome'), according to the manufacturer's procedures. Libraries were sequenced on the MiSeq (Illumina) and the results were analyzed using the MiSeq Reporter and IGV. Variants identified in ES were compared with those validated previously in a subset of genes using the TruSight Cancer gene panel (Illumina) and Sanger sequencing. This study was conducted in 2 phases. In the first, the clinical exome of 9 samples was sequenced and the variants obtained were compared with known variants in 8 genes. In the second phase, 6 samples were sequenced and the variants in 8 genes were analyzed without prior knowledge of the results obtained in the other methods. Furthermore, it was not known that one of these samples had been sequenced in the first phase of the study. Results: In the first phase, ES identified all the exonic (n=41) and intronic flanking (n=15) variants validated in the MSH2, MLH1, APC, MUTYH, BRCA1, BRCA2, STK11 and TP53 genes, while no additional changes have been detected. In the second phase, ES detected a total of 50 variants in MSH2, MLH1, APC, BRCA1, BRCA2, TP53, CDH1 and ATM genes which were found to include each of the 46 variants previously validated and 4 additional changes located outside the genomic regions defined in the gene panel. The same 15 exonic variants were identified in the sample independently processed and sequenced in both phases. Taken together, 87 variants were independently identified using different sequencing approaches. Discussion: The results of this work showed a complete agreement between variants identified by clinical exome, gene panel and Sanger sequencing. Moreover, these results support the notion that the clinical exome panel can also be used as a set of sub-panels of genes applicable to different genetic diseases.
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spelling Concordance between variants detected by clinical exome, gene panel and Sanger sequencingClinical ExomeNext-generation SequencingDoenças GenéticasIntroduction:Exome sequencing (ES) is becoming a preferred methodology for detecting DNA changes in genetic diseases with no known molecular cause or no definitive diagnosis. This results from the fact that next-generation sequencing technology allows a greater number of bases to be sequenced at an increasingly lower cost. However, sequencing a high number of genes requires an evaluation of the analytical performance of ES before it is used in the clinical setting. Methods: Fifteen genomic DNA samples were used to prepare sequencing libraries with the TruSight One Sequencing Panel (Illumina) consisting of 4813 disease-associated genes ('clinical exome'), according to the manufacturer's procedures. Libraries were sequenced on the MiSeq (Illumina) and the results were analyzed using the MiSeq Reporter and IGV. Variants identified in ES were compared with those validated previously in a subset of genes using the TruSight Cancer gene panel (Illumina) and Sanger sequencing. This study was conducted in 2 phases. In the first, the clinical exome of 9 samples was sequenced and the variants obtained were compared with known variants in 8 genes. In the second phase, 6 samples were sequenced and the variants in 8 genes were analyzed without prior knowledge of the results obtained in the other methods. Furthermore, it was not known that one of these samples had been sequenced in the first phase of the study. Results: In the first phase, ES identified all the exonic (n=41) and intronic flanking (n=15) variants validated in the MSH2, MLH1, APC, MUTYH, BRCA1, BRCA2, STK11 and TP53 genes, while no additional changes have been detected. In the second phase, ES detected a total of 50 variants in MSH2, MLH1, APC, BRCA1, BRCA2, TP53, CDH1 and ATM genes which were found to include each of the 46 variants previously validated and 4 additional changes located outside the genomic regions defined in the gene panel. The same 15 exonic variants were identified in the sample independently processed and sequenced in both phases. Taken together, 87 variants were independently identified using different sequencing approaches. Discussion: The results of this work showed a complete agreement between variants identified by clinical exome, gene panel and Sanger sequencing. Moreover, these results support the notion that the clinical exome panel can also be used as a set of sub-panels of genes applicable to different genetic diseases.Repositório Científico do Instituto Nacional de SaúdeMendonça, JoanaSilva, CatarinaTheisen, PatríciaGonçalves, JoãoVieira, Luís2018-03-07T17:57:47Z2017-11-162017-11-16T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.18/5347enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:13:02Zoai:repositorio.insa.pt:10400.18/5347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:27:31.812490Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
title Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
spellingShingle Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
Mendonça, Joana
Clinical Exome
Next-generation Sequencing
Doenças Genéticas
title_short Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
title_full Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
title_fullStr Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
title_full_unstemmed Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
title_sort Concordance between variants detected by clinical exome, gene panel and Sanger sequencing
author Mendonça, Joana
author_facet Mendonça, Joana
Silva, Catarina
Theisen, Patrícia
Gonçalves, João
Vieira, Luís
author_role author
author2 Silva, Catarina
Theisen, Patrícia
Gonçalves, João
Vieira, Luís
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Mendonça, Joana
Silva, Catarina
Theisen, Patrícia
Gonçalves, João
Vieira, Luís
dc.subject.por.fl_str_mv Clinical Exome
Next-generation Sequencing
Doenças Genéticas
topic Clinical Exome
Next-generation Sequencing
Doenças Genéticas
description Introduction:Exome sequencing (ES) is becoming a preferred methodology for detecting DNA changes in genetic diseases with no known molecular cause or no definitive diagnosis. This results from the fact that next-generation sequencing technology allows a greater number of bases to be sequenced at an increasingly lower cost. However, sequencing a high number of genes requires an evaluation of the analytical performance of ES before it is used in the clinical setting. Methods: Fifteen genomic DNA samples were used to prepare sequencing libraries with the TruSight One Sequencing Panel (Illumina) consisting of 4813 disease-associated genes ('clinical exome'), according to the manufacturer's procedures. Libraries were sequenced on the MiSeq (Illumina) and the results were analyzed using the MiSeq Reporter and IGV. Variants identified in ES were compared with those validated previously in a subset of genes using the TruSight Cancer gene panel (Illumina) and Sanger sequencing. This study was conducted in 2 phases. In the first, the clinical exome of 9 samples was sequenced and the variants obtained were compared with known variants in 8 genes. In the second phase, 6 samples were sequenced and the variants in 8 genes were analyzed without prior knowledge of the results obtained in the other methods. Furthermore, it was not known that one of these samples had been sequenced in the first phase of the study. Results: In the first phase, ES identified all the exonic (n=41) and intronic flanking (n=15) variants validated in the MSH2, MLH1, APC, MUTYH, BRCA1, BRCA2, STK11 and TP53 genes, while no additional changes have been detected. In the second phase, ES detected a total of 50 variants in MSH2, MLH1, APC, BRCA1, BRCA2, TP53, CDH1 and ATM genes which were found to include each of the 46 variants previously validated and 4 additional changes located outside the genomic regions defined in the gene panel. The same 15 exonic variants were identified in the sample independently processed and sequenced in both phases. Taken together, 87 variants were independently identified using different sequencing approaches. Discussion: The results of this work showed a complete agreement between variants identified by clinical exome, gene panel and Sanger sequencing. Moreover, these results support the notion that the clinical exome panel can also be used as a set of sub-panels of genes applicable to different genetic diseases.
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