Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/117968
Title: Next-generation phenotyping integrated in a national framework for patients with ultrarare disorders improves genetic diagnostics and yields new molecular findings
Author(s): Schmidt, Axel
Danyel, MagdalenaLook up in the Integrated Authority File of the German National Library
Grundmann-Hauser, KathrinLook up in the Integrated Authority File of the German National Library
Brunet, TheresaLook up in the Integrated Authority File of the German National Library
Klinkhammer, Hannah
Hsieh, Tzung-ChienLook up in the Integrated Authority File of the German National Library
Engels, HartmutLook up in the Integrated Authority File of the German National Library
Schlapakow, ElenaLook up in the Integrated Authority File of the German National Library
[und weitere]
Issue Date: 2024
Type: Article
Language: English
Abstract: Individuals with ultrarare disorders pose a structural challenge for healthcare systems since expert clinical knowledge is required to establish diagnoses. In TRANSLATE NAMSE, a 3-year prospective study, we evaluated a novel diagnostic concept based on multidisciplinary expertise in Germany. Here we present the systematic investigation of the phenotypic and molecular genetic data of 1,577 patients who had undergone exome sequencing and were partially analyzed with next-generation phenotyping approaches. Molecular genetic diagnoses were established in 32% of the patients totaling 370 distinct molecular genetic causes, most with prevalence below 1:50,000. During the diagnostic process, 34 novel and 23 candidate genotype–phenotype associations were identified, mainly in individuals with neurodevelopmental disorders. Sequencing data of the subcohort that consented to computer-assisted analysis of their facial images with GestaltMatcher could be prioritized more efficiently compared with approaches based solely on clinical features and molecular scores. Our study demonstrates the synergy of using next-generation sequencing and phenotyping for diagnosing ultrarare diseases in routine healthcare and discovering novel etiologies by multidisciplinary teams.
URI: https://opendata.uni-halle.de//handle/1981185920/119928
http://dx.doi.org/10.25673/117968
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Nature genetics
Publisher: Macmillan Publishers Limited, part of Springer Nature
Publisher Place: London
Volume: 56
Issue: 8
Original Publication: 10.1038/s41588-024-01836-1
Page Start: 1644
Page End: 1653
Appears in Collections:Open Access Publikationen der MLU

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