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Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes

Inherited cardiac conditions (ICCs) are characterised by marked genetic and allelic heterogeneity and require extensive sequencing for genetic characterisation. We iteratively optimised a targeted gene capture panel for ICCs that includes disease-causing, putatively pathogenic, research and phenocop...

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Autores principales: Pua, Chee Jian, Bhalshankar, Jaydutt, Miao, Kui, Walsh, Roddy, John, Shibu, Lim, Shi Qi, Chow, Kingsley, Buchan, Rachel, Soh, Bee Yong, Lio, Pei Min, Lim, Jaclyn, Schafer, Sebastian, Lim, Jing Quan, Tan, Patrick, Whiffin, Nicola, Barton, Paul J., Ware, James S., Cook, Stuart A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767849/
https://www.ncbi.nlm.nih.gov/pubmed/26888179
http://dx.doi.org/10.1007/s12265-016-9673-5
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author Pua, Chee Jian
Bhalshankar, Jaydutt
Miao, Kui
Walsh, Roddy
John, Shibu
Lim, Shi Qi
Chow, Kingsley
Buchan, Rachel
Soh, Bee Yong
Lio, Pei Min
Lim, Jaclyn
Schafer, Sebastian
Lim, Jing Quan
Tan, Patrick
Whiffin, Nicola
Barton, Paul J.
Ware, James S.
Cook, Stuart A.
author_facet Pua, Chee Jian
Bhalshankar, Jaydutt
Miao, Kui
Walsh, Roddy
John, Shibu
Lim, Shi Qi
Chow, Kingsley
Buchan, Rachel
Soh, Bee Yong
Lio, Pei Min
Lim, Jaclyn
Schafer, Sebastian
Lim, Jing Quan
Tan, Patrick
Whiffin, Nicola
Barton, Paul J.
Ware, James S.
Cook, Stuart A.
author_sort Pua, Chee Jian
collection PubMed
description Inherited cardiac conditions (ICCs) are characterised by marked genetic and allelic heterogeneity and require extensive sequencing for genetic characterisation. We iteratively optimised a targeted gene capture panel for ICCs that includes disease-causing, putatively pathogenic, research and phenocopy genes (n = 174 genes). We achieved high coverage of the target region on both MiSeq (>99.8 % at ≥20× read depth, n = 12) and NextSeq (>99.9 % at ≥20×, n = 48) platforms with 100 % sensitivity and precision for single nucleotide variants and indels across the protein-coding target on the MiSeq. In the final assay, 40 out of 43 established ICC genes informative in clinical practice achieved complete coverage (100 % at ≥20×). By comparison, whole exome sequencing (WES; ∼80×), deep WES (∼500×) and whole genome sequencing (WGS; ∼70×) had poorer performance (88.1, 99.2 and 99.3 % respectively at ≥20×) across the ICC target. The assay described here delivers highly accurate and affordable sequencing of ICC genes, complemented by accessible cloud-based computation and informatics. See Editorial in this issue (DOI: 10.1007/s12265-015-9667-8). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12265-016-9673-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-47678492016-03-29 Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes Pua, Chee Jian Bhalshankar, Jaydutt Miao, Kui Walsh, Roddy John, Shibu Lim, Shi Qi Chow, Kingsley Buchan, Rachel Soh, Bee Yong Lio, Pei Min Lim, Jaclyn Schafer, Sebastian Lim, Jing Quan Tan, Patrick Whiffin, Nicola Barton, Paul J. Ware, James S. Cook, Stuart A. J Cardiovasc Transl Res Original Article Inherited cardiac conditions (ICCs) are characterised by marked genetic and allelic heterogeneity and require extensive sequencing for genetic characterisation. We iteratively optimised a targeted gene capture panel for ICCs that includes disease-causing, putatively pathogenic, research and phenocopy genes (n = 174 genes). We achieved high coverage of the target region on both MiSeq (>99.8 % at ≥20× read depth, n = 12) and NextSeq (>99.9 % at ≥20×, n = 48) platforms with 100 % sensitivity and precision for single nucleotide variants and indels across the protein-coding target on the MiSeq. In the final assay, 40 out of 43 established ICC genes informative in clinical practice achieved complete coverage (100 % at ≥20×). By comparison, whole exome sequencing (WES; ∼80×), deep WES (∼500×) and whole genome sequencing (WGS; ∼70×) had poorer performance (88.1, 99.2 and 99.3 % respectively at ≥20×) across the ICC target. The assay described here delivers highly accurate and affordable sequencing of ICC genes, complemented by accessible cloud-based computation and informatics. See Editorial in this issue (DOI: 10.1007/s12265-015-9667-8). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12265-016-9673-5) contains supplementary material, which is available to authorized users. Springer US 2016-02-17 2016 /pmc/articles/PMC4767849/ /pubmed/26888179 http://dx.doi.org/10.1007/s12265-016-9673-5 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Pua, Chee Jian
Bhalshankar, Jaydutt
Miao, Kui
Walsh, Roddy
John, Shibu
Lim, Shi Qi
Chow, Kingsley
Buchan, Rachel
Soh, Bee Yong
Lio, Pei Min
Lim, Jaclyn
Schafer, Sebastian
Lim, Jing Quan
Tan, Patrick
Whiffin, Nicola
Barton, Paul J.
Ware, James S.
Cook, Stuart A.
Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes
title Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes
title_full Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes
title_fullStr Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes
title_full_unstemmed Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes
title_short Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes
title_sort development of a comprehensive sequencing assay for inherited cardiac condition genes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767849/
https://www.ncbi.nlm.nih.gov/pubmed/26888179
http://dx.doi.org/10.1007/s12265-016-9673-5
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