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Title:Unraveling the complexity of skeletal dysplasias in the national health system
Authors:ID Najjar, Dorra (Author)
ID Maver, Aleš (Author)
ID Peterlin, Ana Marija (Author)
ID Jaklič, Helena (Author)
ID Peterlin, Borut (Author)
Files:.pdf PDF - Presentation file, download (1,11 MB)
MD5: D89EEDEB01CCA427FC3C6300187D5AFC
 
URL URL - Source URL, visit https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2025.1523737/full
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:Introduction: Skeletal dysplasia (SD) is a large and heterogeneous group of rare genetic disorders that affects bone and cartilage growth. These disorders are diagnosed based on radiographic, clinical, and molecular criteria. However, the diagnostics is challenging due to clinical and genetic heterogeneity. We present the experience of systematic use of comprehensive genetic testing in the national health system and the molecular epidemiology of SD in Slovenia. Methods: We retrospectively reviewed 470 patients with clinical features of SD, including prenatal, childhood, and adult patients referred for diagnostic genetic evaluation to the national genetic reference center over ten years. In 262 patients, whole exome or whole genome sequencing was performed, while direct gene sequencing was performed in 208 patients with a specific clinical diagnosis. Results: A definitive genetic diagnosis using NGS was achieved in 50% (n=131) of patients. Among the positive cases, 49.61% initially presented with a nonspecific diagnosis of SD, and genetic testing contributed to establishing the diagnosis. Moreover, we demonstrated high genetic heterogeneity in our SD cohort with 66 distinct causative genes, resulting in different types of SD. In detail, we detected 132 causative variants, of which 29 were novel, which expanded the mutational spectrum of SD. Furthermore, pathogenic copy number variants (CNVs) were identified in 4.55% of the total number of variants, highlighting the importance of CNV analysis in expanding the yield of molecular diagnosis of SD. Conclusion: With the systematic use of WES and WGS, we have significantly improved the diagnostic yield of SD in the national health system and access to genetic testing. Moreover, we found significant genetic heterogeneity, and we report the genetic epidemiology of SD in the Slovenian population.
Keywords:CNV, copy number variants, NGS, next-generation sequencing, diagnostic yield, molecular pathology, prenatal diagnosis, rare genetic diseases, skeletal dysplasia
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 1-9
Numbering:Vol. 16, [article no.] 1523737
PID:20.500.12556/DiRROS-24060 New window
UDC:618.1:575
ISSN on article:1664-2392
DOI:10.3389/fendo.2025.1523737 New window
COBISS.SI-ID:239592963 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 17. 6. 2025;
Publication date in DiRROS:10.11.2025
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Downloads:73
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Record is a part of a journal

Title:Frontiers in endocrinology
Publisher:Frontiers Research Foundation
ISSN:1664-2392
COBISS.SI-ID:3340154 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P3-0326-2020
Name:Ginekologija in reprodukcija: Genomika za personalizirano medicino

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-4517-2022
Name:Napredna genomska diagnostika za odkrivanje mehanizmov prirojenih razvojnih nepravilnosti

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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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