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Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection
Rapid advances in genomic technologies have facilitated the identification pathogenic variants causing human disease. We report siblings with developmental and epileptic encephalopathy due to a novel, shared heterozygous pathogenic 13 bp duplication in SYNGAP1 (c.435_447dup, p.(L150Vfs*6)) that was...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492103/ https://www.ncbi.nlm.nih.gov/pubmed/30556619 http://dx.doi.org/10.1002/humu.23699 |
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author | Cowley, Mark J Liu, Yu‐Chi Oliver, Karen L. Carvill, Gemma Myers, Candace T. Gayevskiy, Velimir Delatycki, Martin Vlaskamp, Danique R.M. Zhu, Ying Mefford, Heather Buckley, Michael F. Bahlo, Melanie Scheffer, Ingrid E. Dinger, Marcel E. Roscioli, Tony |
author_facet | Cowley, Mark J Liu, Yu‐Chi Oliver, Karen L. Carvill, Gemma Myers, Candace T. Gayevskiy, Velimir Delatycki, Martin Vlaskamp, Danique R.M. Zhu, Ying Mefford, Heather Buckley, Michael F. Bahlo, Melanie Scheffer, Ingrid E. Dinger, Marcel E. Roscioli, Tony |
author_sort | Cowley, Mark J |
collection | PubMed |
description | Rapid advances in genomic technologies have facilitated the identification pathogenic variants causing human disease. We report siblings with developmental and epileptic encephalopathy due to a novel, shared heterozygous pathogenic 13 bp duplication in SYNGAP1 (c.435_447dup, p.(L150Vfs*6)) that was identified by whole genome sequencing (WGS). The pathogenic variant had escaped earlier detection via two methodologies: whole exome sequencing and high‐depth targeted sequencing. Both technologies had produced reads carrying the variant, however, they were either not aligned due to the size of the insertion or aligned to multiple major histocompatibility complex (MHC) regions in the hg19 reference genome, making the critical reads unavailable for variant calling. The WGS pipeline followed different protocols, including alignment of reads to the GRCh37 reference genome, which lacks the additional MHC contigs. Our findings highlight the benefit of using orthogonal clinical bioinformatic pipelines and all relevant inheritance patterns to re‐analyze genomic data in undiagnosed patients. |
format | Online Article Text |
id | pubmed-6492103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64921032019-05-06 Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection Cowley, Mark J Liu, Yu‐Chi Oliver, Karen L. Carvill, Gemma Myers, Candace T. Gayevskiy, Velimir Delatycki, Martin Vlaskamp, Danique R.M. Zhu, Ying Mefford, Heather Buckley, Michael F. Bahlo, Melanie Scheffer, Ingrid E. Dinger, Marcel E. Roscioli, Tony Hum Mutat Brief Reports Rapid advances in genomic technologies have facilitated the identification pathogenic variants causing human disease. We report siblings with developmental and epileptic encephalopathy due to a novel, shared heterozygous pathogenic 13 bp duplication in SYNGAP1 (c.435_447dup, p.(L150Vfs*6)) that was identified by whole genome sequencing (WGS). The pathogenic variant had escaped earlier detection via two methodologies: whole exome sequencing and high‐depth targeted sequencing. Both technologies had produced reads carrying the variant, however, they were either not aligned due to the size of the insertion or aligned to multiple major histocompatibility complex (MHC) regions in the hg19 reference genome, making the critical reads unavailable for variant calling. The WGS pipeline followed different protocols, including alignment of reads to the GRCh37 reference genome, which lacks the additional MHC contigs. Our findings highlight the benefit of using orthogonal clinical bioinformatic pipelines and all relevant inheritance patterns to re‐analyze genomic data in undiagnosed patients. John Wiley and Sons Inc. 2019-01-31 2019-04 /pmc/articles/PMC6492103/ /pubmed/30556619 http://dx.doi.org/10.1002/humu.23699 Text en © 2018 The Authors. Human Mutation published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Reports Cowley, Mark J Liu, Yu‐Chi Oliver, Karen L. Carvill, Gemma Myers, Candace T. Gayevskiy, Velimir Delatycki, Martin Vlaskamp, Danique R.M. Zhu, Ying Mefford, Heather Buckley, Michael F. Bahlo, Melanie Scheffer, Ingrid E. Dinger, Marcel E. Roscioli, Tony Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
title | Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
title_full | Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
title_fullStr | Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
title_full_unstemmed | Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
title_short | Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
title_sort | reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection |
topic | Brief Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492103/ https://www.ncbi.nlm.nih.gov/pubmed/30556619 http://dx.doi.org/10.1002/humu.23699 |
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