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Applications of long-read sequencing to Mendelian genetics
Advances in clinical genetic testing, including the introduction of exome sequencing, have uncovered the molecular etiology for many rare and previously unsolved genetic disorders, yet more than half of individuals with a suspected genetic disorder remain unsolved after complete clinical evaluation....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266321/ https://www.ncbi.nlm.nih.gov/pubmed/37316925 http://dx.doi.org/10.1186/s13073-023-01194-3 |
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author | Mastrorosa, Francesco Kumara Miller, Danny E. Eichler, Evan E. |
author_facet | Mastrorosa, Francesco Kumara Miller, Danny E. Eichler, Evan E. |
author_sort | Mastrorosa, Francesco Kumara |
collection | PubMed |
description | Advances in clinical genetic testing, including the introduction of exome sequencing, have uncovered the molecular etiology for many rare and previously unsolved genetic disorders, yet more than half of individuals with a suspected genetic disorder remain unsolved after complete clinical evaluation. A precise genetic diagnosis may guide clinical treatment plans, allow families to make informed care decisions, and permit individuals to participate in N-of-1 trials; thus, there is high interest in developing new tools and techniques to increase the solve rate. Long-read sequencing (LRS) is a promising technology for both increasing the solve rate and decreasing the amount of time required to make a precise genetic diagnosis. Here, we summarize current LRS technologies, give examples of how they have been used to evaluate complex genetic variation and identify missing variants, and discuss future clinical applications of LRS. As costs continue to decrease, LRS will find additional utility in the clinical space fundamentally changing how pathological variants are discovered and eventually acting as a single-data source that can be interrogated multiple times for clinical service. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01194-3. |
format | Online Article Text |
id | pubmed-10266321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102663212023-06-14 Applications of long-read sequencing to Mendelian genetics Mastrorosa, Francesco Kumara Miller, Danny E. Eichler, Evan E. Genome Med Review Advances in clinical genetic testing, including the introduction of exome sequencing, have uncovered the molecular etiology for many rare and previously unsolved genetic disorders, yet more than half of individuals with a suspected genetic disorder remain unsolved after complete clinical evaluation. A precise genetic diagnosis may guide clinical treatment plans, allow families to make informed care decisions, and permit individuals to participate in N-of-1 trials; thus, there is high interest in developing new tools and techniques to increase the solve rate. Long-read sequencing (LRS) is a promising technology for both increasing the solve rate and decreasing the amount of time required to make a precise genetic diagnosis. Here, we summarize current LRS technologies, give examples of how they have been used to evaluate complex genetic variation and identify missing variants, and discuss future clinical applications of LRS. As costs continue to decrease, LRS will find additional utility in the clinical space fundamentally changing how pathological variants are discovered and eventually acting as a single-data source that can be interrogated multiple times for clinical service. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01194-3. BioMed Central 2023-06-14 /pmc/articles/PMC10266321/ /pubmed/37316925 http://dx.doi.org/10.1186/s13073-023-01194-3 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Mastrorosa, Francesco Kumara Miller, Danny E. Eichler, Evan E. Applications of long-read sequencing to Mendelian genetics |
title | Applications of long-read sequencing to Mendelian genetics |
title_full | Applications of long-read sequencing to Mendelian genetics |
title_fullStr | Applications of long-read sequencing to Mendelian genetics |
title_full_unstemmed | Applications of long-read sequencing to Mendelian genetics |
title_short | Applications of long-read sequencing to Mendelian genetics |
title_sort | applications of long-read sequencing to mendelian genetics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266321/ https://www.ncbi.nlm.nih.gov/pubmed/37316925 http://dx.doi.org/10.1186/s13073-023-01194-3 |
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