Unraveling the complexity of Skeletal Dysplasias in the national health system

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Unraveling the complexity of Skeletal Dysplasias in the national health system

ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Cellular Endocrinology

Volume 16 – 2025 |
doi: 10.3389/fendo.2025.1523737

This article is part of the Research Topic Genetic and Molecular Determinants in Bone Health and Diseases – Volume II View all 3 articles

Provisionally accepted

  • 1 Borut Peterlin, Clinical Institute of Medical Genetics, University Medical Center Ljubljana, Ljubljana, Slovenia
  • 2 Laboratoire de Génomique Biomédicale et Oncogénétique, Institut Pasteur de Tunis, Tunis, Tunisia

The final, formatted version of the article will be published soon.

    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.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.a mis en forme : Anglais (États-Unis)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, diagnostic yield, Molecular pathology, NGS, Prenatal Diagnosis, Rare genetic diseases, Skeletal dysplasia. Skeletal dysplasia

    Received:
    06 Nov 2024;
    Accepted:
    19 Feb 2025.

    Copyright:
    © 2025
    Najjar, Maver, Peterlin, Jaklič and Peterlin. This is an open-access article distributed under the terms of the
    Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted,
    provided the original author(s) or licensor are credited and that the
    original publication in this journal is cited, in accordance with accepted
    academic practice. No use, distribution or reproduction is permitted which
    does not comply with these terms.

    * Correspondence:
    Borut Peterlin, Borut Peterlin, Clinical Institute of Medical Genetics, University Medical Center Ljubljana, Ljubljana, 1000, Slovenia

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