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Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders
PURPOSE: We describe the clinical implementation of genome-wide DNA methylation analysis in rare disorders across the EpiSign diagnostic laboratory network and the assessment of results and clinical impact in the first subjects tested. METHODS: We outline the logistics and data flow between an integ...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187150/ https://www.ncbi.nlm.nih.gov/pubmed/33547396 http://dx.doi.org/10.1038/s41436-020-01096-4 |
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author | Sadikovic, Bekim Levy, Michael A. Kerkhof, Jennifer Aref-Eshghi, Erfan Schenkel, Laila Stuart, Alan McConkey, Haley Henneman, Peter Venema, Andrea Schwartz, Charles E. Stevenson, Roger E. Skinner, Steven A. DuPont, Barbara R. Fletcher, Robin S. Balci, Tugce B. Siu, Victoria Mok Granadillo, Jorge L. Masters, Jennefer Kadour, Mike Friez, Michael J. van Haelst, Mieke M. Mannens, Marcel M. A. M. Louie, Raymond J. Lee, Jennifer A. Tedder, Matthew L. Alders, Marielle |
author_facet | Sadikovic, Bekim Levy, Michael A. Kerkhof, Jennifer Aref-Eshghi, Erfan Schenkel, Laila Stuart, Alan McConkey, Haley Henneman, Peter Venema, Andrea Schwartz, Charles E. Stevenson, Roger E. Skinner, Steven A. DuPont, Barbara R. Fletcher, Robin S. Balci, Tugce B. Siu, Victoria Mok Granadillo, Jorge L. Masters, Jennefer Kadour, Mike Friez, Michael J. van Haelst, Mieke M. Mannens, Marcel M. A. M. Louie, Raymond J. Lee, Jennifer A. Tedder, Matthew L. Alders, Marielle |
author_sort | Sadikovic, Bekim |
collection | PubMed |
description | PURPOSE: We describe the clinical implementation of genome-wide DNA methylation analysis in rare disorders across the EpiSign diagnostic laboratory network and the assessment of results and clinical impact in the first subjects tested. METHODS: We outline the logistics and data flow between an integrated network of clinical diagnostics laboratories in Europe, the United States, and Canada. We describe the clinical validation of EpiSign using 211 specimens and assess the test performance and diagnostic yield in the first 207 subjects tested involving two patient subgroups: the targeted cohort (subjects with previous ambiguous/inconclusive genetic findings including genetic variants of unknown clinical significance) and the screening cohort (subjects with clinical findings consistent with hereditary neurodevelopmental syndromes and no previous conclusive genetic findings). RESULTS: Among the 207 subjects tested, 57 (27.6%) were positive for a diagnostic episignature including 48/136 (35.3%) in the targeted cohort and 8/71 (11.3%) in the screening cohort, with 4/207 (1.9%) remaining inconclusive after EpiSign analysis. CONCLUSION: This study describes the implementation of diagnostic clinical genomic DNA methylation testing in patients with rare disorders. It provides strong evidence of clinical utility of EpiSign analysis, including the ability to provide conclusive findings in the majority of subjects tested. |
format | Online Article Text |
id | pubmed-8187150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81871502021-06-28 Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders Sadikovic, Bekim Levy, Michael A. Kerkhof, Jennifer Aref-Eshghi, Erfan Schenkel, Laila Stuart, Alan McConkey, Haley Henneman, Peter Venema, Andrea Schwartz, Charles E. Stevenson, Roger E. Skinner, Steven A. DuPont, Barbara R. Fletcher, Robin S. Balci, Tugce B. Siu, Victoria Mok Granadillo, Jorge L. Masters, Jennefer Kadour, Mike Friez, Michael J. van Haelst, Mieke M. Mannens, Marcel M. A. M. Louie, Raymond J. Lee, Jennifer A. Tedder, Matthew L. Alders, Marielle Genet Med Article PURPOSE: We describe the clinical implementation of genome-wide DNA methylation analysis in rare disorders across the EpiSign diagnostic laboratory network and the assessment of results and clinical impact in the first subjects tested. METHODS: We outline the logistics and data flow between an integrated network of clinical diagnostics laboratories in Europe, the United States, and Canada. We describe the clinical validation of EpiSign using 211 specimens and assess the test performance and diagnostic yield in the first 207 subjects tested involving two patient subgroups: the targeted cohort (subjects with previous ambiguous/inconclusive genetic findings including genetic variants of unknown clinical significance) and the screening cohort (subjects with clinical findings consistent with hereditary neurodevelopmental syndromes and no previous conclusive genetic findings). RESULTS: Among the 207 subjects tested, 57 (27.6%) were positive for a diagnostic episignature including 48/136 (35.3%) in the targeted cohort and 8/71 (11.3%) in the screening cohort, with 4/207 (1.9%) remaining inconclusive after EpiSign analysis. CONCLUSION: This study describes the implementation of diagnostic clinical genomic DNA methylation testing in patients with rare disorders. It provides strong evidence of clinical utility of EpiSign analysis, including the ability to provide conclusive findings in the majority of subjects tested. Nature Publishing Group US 2021-02-05 2021 /pmc/articles/PMC8187150/ /pubmed/33547396 http://dx.doi.org/10.1038/s41436-020-01096-4 Text en © The Author(s) 2021, corrected publication 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 Sadikovic, Bekim Levy, Michael A. Kerkhof, Jennifer Aref-Eshghi, Erfan Schenkel, Laila Stuart, Alan McConkey, Haley Henneman, Peter Venema, Andrea Schwartz, Charles E. Stevenson, Roger E. Skinner, Steven A. DuPont, Barbara R. Fletcher, Robin S. Balci, Tugce B. Siu, Victoria Mok Granadillo, Jorge L. Masters, Jennefer Kadour, Mike Friez, Michael J. van Haelst, Mieke M. Mannens, Marcel M. A. M. Louie, Raymond J. Lee, Jennifer A. Tedder, Matthew L. Alders, Marielle Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders |
title | Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders |
title_full | Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders |
title_fullStr | Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders |
title_full_unstemmed | Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders |
title_short | Clinical epigenomics: genome-wide DNA methylation analysis for the diagnosis of Mendelian disorders |
title_sort | clinical epigenomics: genome-wide dna methylation analysis for the diagnosis of mendelian disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187150/ https://www.ncbi.nlm.nih.gov/pubmed/33547396 http://dx.doi.org/10.1038/s41436-020-01096-4 |
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