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Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA

BACKGROUND: Familial cases of early-onset osteoarthritis (OA) are rare although the exact prevalence is unknown. Early recognition of underlying OA-associated disorders is vital for targeted treatment, when available, and genetic counselling, in case of skeletal dysplasias. Currently, there is no cl...

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Detalles Bibliográficos
Autores principales: Deveza, Leticia A., Zankl, Andreas, Hunter, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339477/
https://www.ncbi.nlm.nih.gov/pubmed/37443051
http://dx.doi.org/10.1186/s12891-023-06691-5
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author Deveza, Leticia A.
Zankl, Andreas
Hunter, David J.
author_facet Deveza, Leticia A.
Zankl, Andreas
Hunter, David J.
author_sort Deveza, Leticia A.
collection PubMed
description BACKGROUND: Familial cases of early-onset osteoarthritis (OA) are rare although the exact prevalence is unknown. Early recognition of underlying OA-associated disorders is vital for targeted treatment, when available, and genetic counselling, in case of skeletal dysplasias. Currently, there is no clear guidance on how best to investigate families affected by early-onset OA. METHODS: We investigated a family with multiple members affected by early-onset OA (age at onset ≤ 40 years). Clinical and demographic characteristics were collected, followed by laboratory investigations screening for a range of potential OA-associated disorders, and whole genome sequencing in selected individuals. RESULTS: Seventeen members of the family were included (7 affected and 10 non-affected). There was an even split between the two sexes and two participants were under 18 years old. No pattern of abnormality was seen in the laboratory investigation that could explain the OA phenotype in the family. Whole-genome sequencing was perfomed in one participant and analysed for likely pathogenic variants in genes known to be associated with skeletal dysplasias. A heterozygous variant in the COL2A1 gene was identified (p.Arg519Cys). Confirmatory tests were performed in five additional participants (four affected and one unaffected). CONCLUSION: The methodology used in this study, including the clinical pathway and bioinformatics pipeline, could be applied to other families affected by early-onset OA.
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spelling pubmed-103394772023-07-14 Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA Deveza, Leticia A. Zankl, Andreas Hunter, David J. BMC Musculoskelet Disord Research BACKGROUND: Familial cases of early-onset osteoarthritis (OA) are rare although the exact prevalence is unknown. Early recognition of underlying OA-associated disorders is vital for targeted treatment, when available, and genetic counselling, in case of skeletal dysplasias. Currently, there is no clear guidance on how best to investigate families affected by early-onset OA. METHODS: We investigated a family with multiple members affected by early-onset OA (age at onset ≤ 40 years). Clinical and demographic characteristics were collected, followed by laboratory investigations screening for a range of potential OA-associated disorders, and whole genome sequencing in selected individuals. RESULTS: Seventeen members of the family were included (7 affected and 10 non-affected). There was an even split between the two sexes and two participants were under 18 years old. No pattern of abnormality was seen in the laboratory investigation that could explain the OA phenotype in the family. Whole-genome sequencing was perfomed in one participant and analysed for likely pathogenic variants in genes known to be associated with skeletal dysplasias. A heterozygous variant in the COL2A1 gene was identified (p.Arg519Cys). Confirmatory tests were performed in five additional participants (four affected and one unaffected). CONCLUSION: The methodology used in this study, including the clinical pathway and bioinformatics pipeline, could be applied to other families affected by early-onset OA. BioMed Central 2023-07-13 /pmc/articles/PMC10339477/ /pubmed/37443051 http://dx.doi.org/10.1186/s12891-023-06691-5 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 Research
Deveza, Leticia A.
Zankl, Andreas
Hunter, David J.
Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA
title Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA
title_full Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA
title_fullStr Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA
title_full_unstemmed Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA
title_short Investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA
title_sort investigation of a family affected by early-onset osteoarthritis – proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial oa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339477/
https://www.ncbi.nlm.nih.gov/pubmed/37443051
http://dx.doi.org/10.1186/s12891-023-06691-5
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