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Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era
BACKGROUND: Skeletal dysplasia (SD) conditions are rare genetic diseases of the skeleton, encompassing a heterogeneous group of over 400 disorders, and represent approximately 5% of all congenital anomalies. Developments in genetic and treatment technologies are leading to unparalleled therapeutic a...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182909/ https://www.ncbi.nlm.nih.gov/pubmed/34092239 http://dx.doi.org/10.1186/s12920-021-00993-0 |
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author | Sabir, Ataf H. Morley, Elizabeth Sheikh, Jameela Calder, Alistair D. Beleza-Meireles, Ana Cheung, Moira S. Cocca, Alessandra Jansson, Mattias Lillis, Suzanne Patel, Yogen Yau, Shu Hall, Christine M. Offiah, Amaka C. Irving, Melita |
author_facet | Sabir, Ataf H. Morley, Elizabeth Sheikh, Jameela Calder, Alistair D. Beleza-Meireles, Ana Cheung, Moira S. Cocca, Alessandra Jansson, Mattias Lillis, Suzanne Patel, Yogen Yau, Shu Hall, Christine M. Offiah, Amaka C. Irving, Melita |
author_sort | Sabir, Ataf H. |
collection | PubMed |
description | BACKGROUND: Skeletal dysplasia (SD) conditions are rare genetic diseases of the skeleton, encompassing a heterogeneous group of over 400 disorders, and represent approximately 5% of all congenital anomalies. Developments in genetic and treatment technologies are leading to unparalleled therapeutic advances; thus, it is more important than ever to molecularly confirm SD conditions. Data on ‘rates-of-molecular yields’ in SD conditions, through exome sequencing approaches, is limited. Figures of 39% and 52.5% have been reported in the USA (n = 54) and South Korea (n = 185) respectively. METHODS: We discuss a single-centre (in the UK) experience of whole-exome sequencing (WES) in a cohort of 15 paediatric patients (aged 5 months to 12 years) with SD disorders previously molecularly unconfirmed. Our cohort included patients with known clinical diagnoses and undiagnosed skeletal syndromes. Extensive phenotyping and expert radiological review by a panel of international SD radiology experts, coupled with a complex bioinformatics pipeline, allowed for both gene-targeted and gene-agnostic approaches. RESULTS: Significant variants leading to a likely or confirmed diagnosis were identified in 53.3% (n = 8/15) of patients; 46.7% (n = 7/15) having a definite molecular diagnosis and 6.7% (n = 1/15) having a likely molecular diagnosis. We discuss this in the context of a rare disease in general and specifically SD presentations. Of patients with known diagnoses pre-WES (n = 10), molecular confirmation occurred in 7/10 cases, as opposed to 1/5 where a diagnosis was unknown pre-test. Thus, diagnostic return is greatest where the diagnosis is known pre-test. For WGS (whole genome sequencing, the next iteration of WES), careful case selection (ideally of known diagnoses pre-test) will yield highest returns. CONCLUSIONS: Our results highlight the cost-effective use of WES-targeted bioinformatic analysis as a diagnostic tool for SD, particularly patients with presumed SD, where detailed phenotyping is essential. Thorough co-ordinated clinical evaluation between clinical, radiological, and molecular teams is essential for improved yield and clinical care. WES (and WGS) yields will increase with time, allowing faster diagnoses, avoiding needless investigations, ensuring individualised patient care and patient reassurance. Further diagnoses will lead to increased information on natural history/mechanistic details, and likely increased therapies and clinical trials. |
format | Online Article Text |
id | pubmed-8182909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81829092021-06-09 Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era Sabir, Ataf H. Morley, Elizabeth Sheikh, Jameela Calder, Alistair D. Beleza-Meireles, Ana Cheung, Moira S. Cocca, Alessandra Jansson, Mattias Lillis, Suzanne Patel, Yogen Yau, Shu Hall, Christine M. Offiah, Amaka C. Irving, Melita BMC Med Genomics Research Article BACKGROUND: Skeletal dysplasia (SD) conditions are rare genetic diseases of the skeleton, encompassing a heterogeneous group of over 400 disorders, and represent approximately 5% of all congenital anomalies. Developments in genetic and treatment technologies are leading to unparalleled therapeutic advances; thus, it is more important than ever to molecularly confirm SD conditions. Data on ‘rates-of-molecular yields’ in SD conditions, through exome sequencing approaches, is limited. Figures of 39% and 52.5% have been reported in the USA (n = 54) and South Korea (n = 185) respectively. METHODS: We discuss a single-centre (in the UK) experience of whole-exome sequencing (WES) in a cohort of 15 paediatric patients (aged 5 months to 12 years) with SD disorders previously molecularly unconfirmed. Our cohort included patients with known clinical diagnoses and undiagnosed skeletal syndromes. Extensive phenotyping and expert radiological review by a panel of international SD radiology experts, coupled with a complex bioinformatics pipeline, allowed for both gene-targeted and gene-agnostic approaches. RESULTS: Significant variants leading to a likely or confirmed diagnosis were identified in 53.3% (n = 8/15) of patients; 46.7% (n = 7/15) having a definite molecular diagnosis and 6.7% (n = 1/15) having a likely molecular diagnosis. We discuss this in the context of a rare disease in general and specifically SD presentations. Of patients with known diagnoses pre-WES (n = 10), molecular confirmation occurred in 7/10 cases, as opposed to 1/5 where a diagnosis was unknown pre-test. Thus, diagnostic return is greatest where the diagnosis is known pre-test. For WGS (whole genome sequencing, the next iteration of WES), careful case selection (ideally of known diagnoses pre-test) will yield highest returns. CONCLUSIONS: Our results highlight the cost-effective use of WES-targeted bioinformatic analysis as a diagnostic tool for SD, particularly patients with presumed SD, where detailed phenotyping is essential. Thorough co-ordinated clinical evaluation between clinical, radiological, and molecular teams is essential for improved yield and clinical care. WES (and WGS) yields will increase with time, allowing faster diagnoses, avoiding needless investigations, ensuring individualised patient care and patient reassurance. Further diagnoses will lead to increased information on natural history/mechanistic details, and likely increased therapies and clinical trials. BioMed Central 2021-06-06 /pmc/articles/PMC8182909/ /pubmed/34092239 http://dx.doi.org/10.1186/s12920-021-00993-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Research Article Sabir, Ataf H. Morley, Elizabeth Sheikh, Jameela Calder, Alistair D. Beleza-Meireles, Ana Cheung, Moira S. Cocca, Alessandra Jansson, Mattias Lillis, Suzanne Patel, Yogen Yau, Shu Hall, Christine M. Offiah, Amaka C. Irving, Melita Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
title | Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
title_full | Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
title_fullStr | Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
title_full_unstemmed | Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
title_short | Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
title_sort | diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182909/ https://www.ncbi.nlm.nih.gov/pubmed/34092239 http://dx.doi.org/10.1186/s12920-021-00993-0 |
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