Exploring Kleefstra syndrome cohort phenotype characteristics: Prevalence insights from caregiver-reported outcomes

被引:2
|
作者
Draksler, Tanja Zdolsek [1 ,2 ]
Bouman, Arianne [3 ,4 ]
Gucek, Alenka [5 ]
Novak, Erik [5 ]
Burger, Pauline [6 ]
Colin, Florent [6 ,7 ]
Kleefstra, Tjitske [3 ,8 ,9 ]
机构
[1] Jozef Stefan Inst, Int Res Ctr Artificial Intelligence IRCAI, Auspices UNESCO, Ljubljana, Slovenia
[2] IDefine Europe, Ljubljana, Slovenia
[3] Radboud Univ Nijmegen, Dept Human Genet, Med Ctr, Nijmegen, Netherlands
[4] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Med Ctr, Nijmegen, Netherlands
[5] Jozef Stefan Inst, Dept Artificial Intelligence, Ljubljana, Slovenia
[6] Univ Strasbourg, Inst Genet & Mol & Cellular Biol IGBMC, Illkirch Graffenstaden, France
[7] Univ Strasbourg, Tumor Biomech Lab, Federat MedTranslat Strasbourg FMTS, Strasbourg, France
[8] Erasmus MC, Dept Clin Genet, Rotterdam, Netherlands
[9] Vincent Gogh Inst Psychiat, Ctr Excellence Neuropsychiat, Venray, Netherlands
基金
荷兰研究理事会;
关键词
Kleefstra syndrome; Rare disease; Cohort study; Data science; Registries; Patient reported outcomes; Caregiver reported outcomes;
D O I
10.1016/j.ejmg.2024.104974
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页数:13
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