在罕见疾病中解码复杂的遗传表型:智利罕见未诊断疾病的DECIPHERD倡议
M Cecilia Poli1,2, Boris Rebolledo-Jaramillo3, Catalina Lagos3
1Program for Immunogenetics and Translational Immunology, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clinica Alemana Universidad del Desarrollo, Santiago, Chile.
European journal of human genetics : EJHG
|January 4, 2024
概括
智利的一项新计划DECIPHERD成功地在近一半的患者中使用混合外体序列测序策略诊断出罕见遗传疾病. 这种方法改善了在资源有限的环境中获得基因组诊断的机会,缩短了诊断旅程.
科学领域:
- 基因组学就是基因组学.
- 罕见疾病 罕见疾病
- 临床诊断 临床诊断 临床诊断
背景情况:
- 罕见疾病通常具有遗传原因,影响全球数百万人.
- 下一代测序已经推进了罕见疾病的诊断,但在资源较低的国家面临着可访问性问题.
- 这种差异延长了许多患者的诊断旅程.
研究的目的:
- 在智利建立DECIPHERD,这是一个未被诊断的疾病计划,以改善资源有限的环境中的基因组诊断.
- 实施混合模型,将本地分析与外包测序相结合.
- 描述DECIPHERD计划的实施和初步发现.
主要方法:
- 通过国际合作和混合模型 (内部分析,外包测序) 开发了DECIPHERD.
- 对103名具有异质表型的患者进行临床或研究外基因组测序 (单独或三组设计).
- 分析了测序数据以识别致病性,可能致病性或未知意义的变异.
主要成果:
- 在103名患者中,47.6%的患者得到了诊断.
- 识别的变种往往是新的或以前没有报告的.
- 不同类型的现象包括先天性异常,智力障碍和免疫功能障碍.
结论:
- DECIPHERD的混合策略成功地缩短了许多患者的诊断旅程.
- 这种模型是资源有限的环境中推进基因组诊断的可行方法.
- 该计划有可能在未经研究的人群中发现新的遗传变异.
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