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The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report
BACKGROUND: While representing a significant improvement, the introduction of next‐generation sequencing in genetic diagnosis also prompted new challenges. Despite widely recognized consensus guidelines for the interpretation of sequence variants, many variants remain unclassified or are discordantl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938750/ https://www.ncbi.nlm.nih.gov/pubmed/36495030 http://dx.doi.org/10.1002/mgg3.2107 |
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author | Ratajska, Aleksandra Vigeland, Magnus D. Wirgenes, Katrine Verena Krohg‐Sørensen, Kirsten Paus, Benedicte |
author_facet | Ratajska, Aleksandra Vigeland, Magnus D. Wirgenes, Katrine Verena Krohg‐Sørensen, Kirsten Paus, Benedicte |
author_sort | Ratajska, Aleksandra |
collection | PubMed |
description | BACKGROUND: While representing a significant improvement, the introduction of next‐generation sequencing in genetic diagnosis also prompted new challenges. Despite widely recognized consensus guidelines for the interpretation of sequence variants, many variants remain unclassified or are discordantly interpreted. In heritable thoracic aortic aneurysms with dissection (HTAAD), most cases are caused by a heterozygous, private missense mutation, possibly contributing to the relatively common reports of variants with uncertain significance in this group. Segregation analysis necessitates advanced likelihood‐based methods typically inaccessible to non‐experts and is hampered by reduced penetrance, possible phenocopies, and non‐availability of DNA from deceased relatives. METHODS: In this report, challenges in variant interpretation and the use of segregation analyses were illustrated in two families with a suspected HTAAD disorder. The R package segregatr, a novel implementation of full‐likelihood Bayes factor (FLB), was performed to explore the cosegregation of the variants in these families. CONCLUSION: Using the R package segregatr, cosegregation in the reported families concluded with strong and supporting evidence for pathogenicity. Surveillance of families in a multidisciplinary team enabling systematic phenotype description for standardized segregation analysis with a robust calculation method may be imperative for reliable variant interpretation in HTAAD. |
format | Online Article Text |
id | pubmed-9938750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99387502023-02-19 The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report Ratajska, Aleksandra Vigeland, Magnus D. Wirgenes, Katrine Verena Krohg‐Sørensen, Kirsten Paus, Benedicte Mol Genet Genomic Med Clinical Reports BACKGROUND: While representing a significant improvement, the introduction of next‐generation sequencing in genetic diagnosis also prompted new challenges. Despite widely recognized consensus guidelines for the interpretation of sequence variants, many variants remain unclassified or are discordantly interpreted. In heritable thoracic aortic aneurysms with dissection (HTAAD), most cases are caused by a heterozygous, private missense mutation, possibly contributing to the relatively common reports of variants with uncertain significance in this group. Segregation analysis necessitates advanced likelihood‐based methods typically inaccessible to non‐experts and is hampered by reduced penetrance, possible phenocopies, and non‐availability of DNA from deceased relatives. METHODS: In this report, challenges in variant interpretation and the use of segregation analyses were illustrated in two families with a suspected HTAAD disorder. The R package segregatr, a novel implementation of full‐likelihood Bayes factor (FLB), was performed to explore the cosegregation of the variants in these families. CONCLUSION: Using the R package segregatr, cosegregation in the reported families concluded with strong and supporting evidence for pathogenicity. Surveillance of families in a multidisciplinary team enabling systematic phenotype description for standardized segregation analysis with a robust calculation method may be imperative for reliable variant interpretation in HTAAD. John Wiley and Sons Inc. 2022-12-09 /pmc/articles/PMC9938750/ /pubmed/36495030 http://dx.doi.org/10.1002/mgg3.2107 Text en © 2022 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Clinical Reports Ratajska, Aleksandra Vigeland, Magnus D. Wirgenes, Katrine Verena Krohg‐Sørensen, Kirsten Paus, Benedicte The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report |
title | The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report |
title_full | The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report |
title_fullStr | The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report |
title_full_unstemmed | The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report |
title_short | The use of segregation analysis in interpretation of sequence variants in SMAD3: A case report |
title_sort | use of segregation analysis in interpretation of sequence variants in smad3: a case report |
topic | Clinical Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938750/ https://www.ncbi.nlm.nih.gov/pubmed/36495030 http://dx.doi.org/10.1002/mgg3.2107 |
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