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One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation

PURPOSE: To evaluate the impact of technically challenging variants on the implementation, validation, and diagnostic yield of commonly used clinical genetic tests. Such variants include large indels, small copy-number variants (CNVs), complex alterations, and variants in low-complexity or segmental...

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Autores principales: Lincoln, Stephen E., Hambuch, Tina, Zook, Justin M., Bristow, Sara L., Hatchell, Kathryn, Truty, Rebecca, Kennemer, Michael, Shirts, Brian H., Fellowes, Andrew, Chowdhury, Shimul, Klee, Eric W., Mahamdallie, Shazia, Cleveland, Megan H., Vallone, Peter M., Ding, Yan, Seal, Sheila, DeSilva, Wasanthi, Tomson, Farol L., Huang, Catherine, Garlick, Russell K., Rahman, Nazneen, Salit, Marc, Kingsmore, Stephen F., Ferber, Matthew J., Aradhya, Swaroop, Nussbaum, Robert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460443/
https://www.ncbi.nlm.nih.gov/pubmed/34007000
http://dx.doi.org/10.1038/s41436-021-01187-w
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author Lincoln, Stephen E.
Hambuch, Tina
Zook, Justin M.
Bristow, Sara L.
Hatchell, Kathryn
Truty, Rebecca
Kennemer, Michael
Shirts, Brian H.
Fellowes, Andrew
Chowdhury, Shimul
Klee, Eric W.
Mahamdallie, Shazia
Cleveland, Megan H.
Vallone, Peter M.
Ding, Yan
Seal, Sheila
DeSilva, Wasanthi
Tomson, Farol L.
Huang, Catherine
Garlick, Russell K.
Rahman, Nazneen
Salit, Marc
Kingsmore, Stephen F.
Ferber, Matthew J.
Aradhya, Swaroop
Nussbaum, Robert L.
author_facet Lincoln, Stephen E.
Hambuch, Tina
Zook, Justin M.
Bristow, Sara L.
Hatchell, Kathryn
Truty, Rebecca
Kennemer, Michael
Shirts, Brian H.
Fellowes, Andrew
Chowdhury, Shimul
Klee, Eric W.
Mahamdallie, Shazia
Cleveland, Megan H.
Vallone, Peter M.
Ding, Yan
Seal, Sheila
DeSilva, Wasanthi
Tomson, Farol L.
Huang, Catherine
Garlick, Russell K.
Rahman, Nazneen
Salit, Marc
Kingsmore, Stephen F.
Ferber, Matthew J.
Aradhya, Swaroop
Nussbaum, Robert L.
author_sort Lincoln, Stephen E.
collection PubMed
description PURPOSE: To evaluate the impact of technically challenging variants on the implementation, validation, and diagnostic yield of commonly used clinical genetic tests. Such variants include large indels, small copy-number variants (CNVs), complex alterations, and variants in low-complexity or segmentally duplicated regions. METHODS: An interlaboratory pilot study used synthetic specimens to assess detection of challenging variant types by various next-generation sequencing (NGS)–based workflows. One well-performing workflow was further validated and used in clinician-ordered testing of more than 450,000 patients. RESULTS: In the interlaboratory study, only 2 of 13 challenging variants were detected by all 10 workflows, and just 3 workflows detected all 13. Limitations were also observed among 11 less-challenging indels. In clinical testing, 21.6% of patients carried one or more pathogenic variants, of which 13.8% (17,561) were classified as technically challenging. These variants were of diverse types, affecting 556 of 1,217 genes across hereditary cancer, cardiovascular, neurological, pediatric, reproductive carrier screening, and other indicated tests. CONCLUSION: The analytic and clinical sensitivity of NGS workflows can vary considerably, particularly for prevalent, technically challenging variants. This can have important implications for the design and validation of tests (by laboratories) and the selection of tests (by clinicians) for a wide range of clinical indications.
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spelling pubmed-84604432021-10-07 One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation Lincoln, Stephen E. Hambuch, Tina Zook, Justin M. Bristow, Sara L. Hatchell, Kathryn Truty, Rebecca Kennemer, Michael Shirts, Brian H. Fellowes, Andrew Chowdhury, Shimul Klee, Eric W. Mahamdallie, Shazia Cleveland, Megan H. Vallone, Peter M. Ding, Yan Seal, Sheila DeSilva, Wasanthi Tomson, Farol L. Huang, Catherine Garlick, Russell K. Rahman, Nazneen Salit, Marc Kingsmore, Stephen F. Ferber, Matthew J. Aradhya, Swaroop Nussbaum, Robert L. Genet Med Article PURPOSE: To evaluate the impact of technically challenging variants on the implementation, validation, and diagnostic yield of commonly used clinical genetic tests. Such variants include large indels, small copy-number variants (CNVs), complex alterations, and variants in low-complexity or segmentally duplicated regions. METHODS: An interlaboratory pilot study used synthetic specimens to assess detection of challenging variant types by various next-generation sequencing (NGS)–based workflows. One well-performing workflow was further validated and used in clinician-ordered testing of more than 450,000 patients. RESULTS: In the interlaboratory study, only 2 of 13 challenging variants were detected by all 10 workflows, and just 3 workflows detected all 13. Limitations were also observed among 11 less-challenging indels. In clinical testing, 21.6% of patients carried one or more pathogenic variants, of which 13.8% (17,561) were classified as technically challenging. These variants were of diverse types, affecting 556 of 1,217 genes across hereditary cancer, cardiovascular, neurological, pediatric, reproductive carrier screening, and other indicated tests. CONCLUSION: The analytic and clinical sensitivity of NGS workflows can vary considerably, particularly for prevalent, technically challenging variants. This can have important implications for the design and validation of tests (by laboratories) and the selection of tests (by clinicians) for a wide range of clinical indications. Nature Publishing Group US 2021-05-18 2021 /pmc/articles/PMC8460443/ /pubmed/34007000 http://dx.doi.org/10.1038/s41436-021-01187-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lincoln, Stephen E.
Hambuch, Tina
Zook, Justin M.
Bristow, Sara L.
Hatchell, Kathryn
Truty, Rebecca
Kennemer, Michael
Shirts, Brian H.
Fellowes, Andrew
Chowdhury, Shimul
Klee, Eric W.
Mahamdallie, Shazia
Cleveland, Megan H.
Vallone, Peter M.
Ding, Yan
Seal, Sheila
DeSilva, Wasanthi
Tomson, Farol L.
Huang, Catherine
Garlick, Russell K.
Rahman, Nazneen
Salit, Marc
Kingsmore, Stephen F.
Ferber, Matthew J.
Aradhya, Swaroop
Nussbaum, Robert L.
One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
title One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
title_full One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
title_fullStr One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
title_full_unstemmed One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
title_short One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
title_sort one in seven pathogenic variants can be challenging to detect by ngs: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460443/
https://www.ncbi.nlm.nih.gov/pubmed/34007000
http://dx.doi.org/10.1038/s41436-021-01187-w
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