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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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.
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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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