Exploring Kleefstra syndrome cohort phenotype characteristics: Prevalence insights from caregiver-reported outcomes.
Creators
- 1. International Research Centre on Artificial Intelligence (IRCAI) under the auspices of UNESCO, Jožef Stefan Institute, Ljubljana, Slovenia; IDefine Europe, Slovenia. Electronic address: tanja.zdolsek@ijs.si.
- 2. Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands.
- 3. Department for artificial Intelligence, Jožef Stefan Institute, Ljubljana, Slovenia.
- 4. Institute of Genetics and Molecular and Cellular Biology (IGBMC), Université de Strasbourg, Illkirch, France.
- 5. University of Strasbourg
- 6. Institute of Genetics and Molecular and Cellular Biology (IGBMC), Université de Strasbourg, Illkirch, France; Tumor Biomechanics Lab, University of Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
- 7. Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands; Department of Clinical Genetics, Erasmus MC, Rotterdam, the Netherlands; Center of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands.
Description
Kleefstra syndrome (KLEFS1) is a rare genetic neurodevelopmental disorder affecting multiple body systems. It continues to be under-researched, and its prevalence remains unknown. This paper builds on the international KLEFS1 cohort of 172 individuals based on the caregiver-reported outcomes collected within the online data collection platform GenIDA and reports the occurrence, frequency and severity of symptoms in KLEFS1. The study clearly shows the importance of caregiver-reported outcomes collections in the rare disease domain. Moreover, the study emphasizes the need for more specific and enhanced data collection methods, suggesting recommendations to optimize caregiver-reported registries and foster an even more profound understanding of rare diseases.
Open Access
Licence Attribution (CC BY-NC-ND)
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Publication Details
Journal article
Journal:
European journal of medical genetics
Publisher:
Elsevier BV
ISSN:
18780849
Volume:
72
Pages:
104974-104974
Funding
References
K\u00f6lker . Rare disease registries are key to evidence-based personalized med...
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Burger . GenIDA: an international participatory database to gain knowledge on he...
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Bloemendaal . The role of the gut microbiota in patients with Kleefstra syndrome...
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Bose . Zellweger spectrum disorder: a cross-sectional study of symptom prevalenc...
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Shah . Family reported outcomes, an unmet need in the management of a patient's ...
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