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Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals

Unsolicited findings (UFs) are uncovered unintentionally and predispose to a disease unrelated to the clinical question. The frequency and nature of UFs uncovered in clinical practice remain largely unexplored. We here evaluated UFs identified during a 5-year period in which 16,482 index patients re...

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Autores principales: van der Schoot, Vyne, Haer-Wigman, Lonneke, Feenstra, Ilse, Tammer, Femke, Oerlemans, Anke J. M., van Koolwijk, Martine P. A., van Agt, Frans, Arens, Yvonne H. J. M., Brunner, Han G., Vissers, Lisenka E. L. M., Yntema, Helger G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821629/
https://www.ncbi.nlm.nih.gov/pubmed/34697415
http://dx.doi.org/10.1038/s41431-021-00964-0
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author van der Schoot, Vyne
Haer-Wigman, Lonneke
Feenstra, Ilse
Tammer, Femke
Oerlemans, Anke J. M.
van Koolwijk, Martine P. A.
van Agt, Frans
Arens, Yvonne H. J. M.
Brunner, Han G.
Vissers, Lisenka E. L. M.
Yntema, Helger G.
author_facet van der Schoot, Vyne
Haer-Wigman, Lonneke
Feenstra, Ilse
Tammer, Femke
Oerlemans, Anke J. M.
van Koolwijk, Martine P. A.
van Agt, Frans
Arens, Yvonne H. J. M.
Brunner, Han G.
Vissers, Lisenka E. L. M.
Yntema, Helger G.
author_sort van der Schoot, Vyne
collection PubMed
description Unsolicited findings (UFs) are uncovered unintentionally and predispose to a disease unrelated to the clinical question. The frequency and nature of UFs uncovered in clinical practice remain largely unexplored. We here evaluated UFs identified during a 5-year period in which 16,482 index patients received clinical whole-exome sequencing (WES). UFs were identified in 0.58% (95/16,482) of index patients, indicating that the overall frequency of UFs in clinical WES is low. Fewer UFs were identified using restricted disease-gene panels (0.03%) than when using whole-exome/Mendeliome analysis (1.03%). The UF was disclosed to 86 of 95 individuals, for reasons of medical actionability. Only 61% of these UFs reside in a gene that is listed on the “ACMG59”-list, representing a list of 59 genes for which the American College of Medical Genetics recommends UF disclosure. The remaining 39% were grouped into four categories: disorders similar to “ACMG59”-listed disorders (25%); disorders for which disease manifestation could be influenced (7%); UFs providing reproductive options (2%); and UFs with pharmacogenetic implications (5%). Hence, our experience shows that UFs predisposing to medically actionable disorders affect a broader range of genes than listed on the “ACMG59”, advocating that a pre-defined gene list is too restrictive, and that UFs may require ad hoc evaluation of medical actionability. While both the identification and disclosure of UFs depend on local policy, our lessons learned provide general essential insight into the nature and odds of UFs in clinical exome sequencing.
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spelling pubmed-88216292022-02-17 Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals van der Schoot, Vyne Haer-Wigman, Lonneke Feenstra, Ilse Tammer, Femke Oerlemans, Anke J. M. van Koolwijk, Martine P. A. van Agt, Frans Arens, Yvonne H. J. M. Brunner, Han G. Vissers, Lisenka E. L. M. Yntema, Helger G. Eur J Hum Genet Article Unsolicited findings (UFs) are uncovered unintentionally and predispose to a disease unrelated to the clinical question. The frequency and nature of UFs uncovered in clinical practice remain largely unexplored. We here evaluated UFs identified during a 5-year period in which 16,482 index patients received clinical whole-exome sequencing (WES). UFs were identified in 0.58% (95/16,482) of index patients, indicating that the overall frequency of UFs in clinical WES is low. Fewer UFs were identified using restricted disease-gene panels (0.03%) than when using whole-exome/Mendeliome analysis (1.03%). The UF was disclosed to 86 of 95 individuals, for reasons of medical actionability. Only 61% of these UFs reside in a gene that is listed on the “ACMG59”-list, representing a list of 59 genes for which the American College of Medical Genetics recommends UF disclosure. The remaining 39% were grouped into four categories: disorders similar to “ACMG59”-listed disorders (25%); disorders for which disease manifestation could be influenced (7%); UFs providing reproductive options (2%); and UFs with pharmacogenetic implications (5%). Hence, our experience shows that UFs predisposing to medically actionable disorders affect a broader range of genes than listed on the “ACMG59”, advocating that a pre-defined gene list is too restrictive, and that UFs may require ad hoc evaluation of medical actionability. While both the identification and disclosure of UFs depend on local policy, our lessons learned provide general essential insight into the nature and odds of UFs in clinical exome sequencing. Springer International Publishing 2021-10-25 2022-02 /pmc/articles/PMC8821629/ /pubmed/34697415 http://dx.doi.org/10.1038/s41431-021-00964-0 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
van der Schoot, Vyne
Haer-Wigman, Lonneke
Feenstra, Ilse
Tammer, Femke
Oerlemans, Anke J. M.
van Koolwijk, Martine P. A.
van Agt, Frans
Arens, Yvonne H. J. M.
Brunner, Han G.
Vissers, Lisenka E. L. M.
Yntema, Helger G.
Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
title Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
title_full Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
title_fullStr Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
title_full_unstemmed Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
title_short Lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
title_sort lessons learned from unsolicited findings in clinical exome sequencing of 16,482 individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821629/
https://www.ncbi.nlm.nih.gov/pubmed/34697415
http://dx.doi.org/10.1038/s41431-021-00964-0
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