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Mobile element insertion detection in 89,874 clinical exomes

PURPOSE: Exome sequencing (ES) is increasingly used for the diagnosis of rare genetic disease. However, some pathogenic sequence variants within the exome go undetected due to the technical difficulty of identifying them. Mobile element insertions (MEIs) are a known cause of genetic disease in human...

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Autores principales: Torene, Rebecca I., Galens, Kevin, Liu, Shuxi, Arvai, Kevin, Borroto, Carlos, Scuffins, Julie, Zhang, Zhancheng, Friedman, Bethany, Sroka, Hana, Heeley, Jennifer, Beaver, Erin, Clarke, Lorne, Neil, Sarah, Walia, Jagdeep, Hull, Danna, Juusola, Jane, Retterer, Kyle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200591/
https://www.ncbi.nlm.nih.gov/pubmed/31965078
http://dx.doi.org/10.1038/s41436-020-0749-x
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author Torene, Rebecca I.
Galens, Kevin
Liu, Shuxi
Arvai, Kevin
Borroto, Carlos
Scuffins, Julie
Zhang, Zhancheng
Friedman, Bethany
Sroka, Hana
Heeley, Jennifer
Beaver, Erin
Clarke, Lorne
Neil, Sarah
Walia, Jagdeep
Hull, Danna
Juusola, Jane
Retterer, Kyle
author_facet Torene, Rebecca I.
Galens, Kevin
Liu, Shuxi
Arvai, Kevin
Borroto, Carlos
Scuffins, Julie
Zhang, Zhancheng
Friedman, Bethany
Sroka, Hana
Heeley, Jennifer
Beaver, Erin
Clarke, Lorne
Neil, Sarah
Walia, Jagdeep
Hull, Danna
Juusola, Jane
Retterer, Kyle
author_sort Torene, Rebecca I.
collection PubMed
description PURPOSE: Exome sequencing (ES) is increasingly used for the diagnosis of rare genetic disease. However, some pathogenic sequence variants within the exome go undetected due to the technical difficulty of identifying them. Mobile element insertions (MEIs) are a known cause of genetic disease in humans but have been historically difficult to detect via ES and similar targeted sequencing methods. METHODS: We developed and applied a novel MEI detection method prospectively to samples received for clinical ES beginning in November 2017. Positive MEI findings were confirmed by an orthogonal method and reported back to the ordering provider. In this study, we examined 89,874 samples from 38,871 cases. RESULTS: Diagnostic MEIs were present in 0.03% (95% binomial test confidence interval: 0.02–0.06%) of all cases and account for 0.15% (95% binomial test confidence interval: 0.08–0.25%) of cases with a molecular diagnosis. One diagnostic MEI was a novel founder event. Most patients with pathogenic MEIs had prior genetic testing, three of whom had previous negative DNA sequencing analysis of the diagnostic gene. CONCLUSION: MEI detection from ES is a valuable diagnostic tool, reveals molecular findings that may be undetected by other sequencing assays, and increases diagnostic yield by 0.15%.
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spelling pubmed-72005912020-05-07 Mobile element insertion detection in 89,874 clinical exomes Torene, Rebecca I. Galens, Kevin Liu, Shuxi Arvai, Kevin Borroto, Carlos Scuffins, Julie Zhang, Zhancheng Friedman, Bethany Sroka, Hana Heeley, Jennifer Beaver, Erin Clarke, Lorne Neil, Sarah Walia, Jagdeep Hull, Danna Juusola, Jane Retterer, Kyle Genet Med Brief Communication PURPOSE: Exome sequencing (ES) is increasingly used for the diagnosis of rare genetic disease. However, some pathogenic sequence variants within the exome go undetected due to the technical difficulty of identifying them. Mobile element insertions (MEIs) are a known cause of genetic disease in humans but have been historically difficult to detect via ES and similar targeted sequencing methods. METHODS: We developed and applied a novel MEI detection method prospectively to samples received for clinical ES beginning in November 2017. Positive MEI findings were confirmed by an orthogonal method and reported back to the ordering provider. In this study, we examined 89,874 samples from 38,871 cases. RESULTS: Diagnostic MEIs were present in 0.03% (95% binomial test confidence interval: 0.02–0.06%) of all cases and account for 0.15% (95% binomial test confidence interval: 0.08–0.25%) of cases with a molecular diagnosis. One diagnostic MEI was a novel founder event. Most patients with pathogenic MEIs had prior genetic testing, three of whom had previous negative DNA sequencing analysis of the diagnostic gene. CONCLUSION: MEI detection from ES is a valuable diagnostic tool, reveals molecular findings that may be undetected by other sequencing assays, and increases diagnostic yield by 0.15%. Nature Publishing Group US 2020-01-22 2020 /pmc/articles/PMC7200591/ /pubmed/31965078 http://dx.doi.org/10.1038/s41436-020-0749-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Brief Communication
Torene, Rebecca I.
Galens, Kevin
Liu, Shuxi
Arvai, Kevin
Borroto, Carlos
Scuffins, Julie
Zhang, Zhancheng
Friedman, Bethany
Sroka, Hana
Heeley, Jennifer
Beaver, Erin
Clarke, Lorne
Neil, Sarah
Walia, Jagdeep
Hull, Danna
Juusola, Jane
Retterer, Kyle
Mobile element insertion detection in 89,874 clinical exomes
title Mobile element insertion detection in 89,874 clinical exomes
title_full Mobile element insertion detection in 89,874 clinical exomes
title_fullStr Mobile element insertion detection in 89,874 clinical exomes
title_full_unstemmed Mobile element insertion detection in 89,874 clinical exomes
title_short Mobile element insertion detection in 89,874 clinical exomes
title_sort mobile element insertion detection in 89,874 clinical exomes
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200591/
https://www.ncbi.nlm.nih.gov/pubmed/31965078
http://dx.doi.org/10.1038/s41436-020-0749-x
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