利用 ClinGen 临床有效性框架评估溶酶体疾病相关基因。

IF 3.7 2区 生物学 Q2 ENDOCRINOLOGY & METABOLISM
Emily Groopman , Shruthi Mohan , Amber Waddell , Matheus Wilke , Raquel Fernandez , Meredith Weaver , Hongjie Chen , Hongbin Liu , Deeksha Bali , Heather Baudet , Lorne Clarke , Christina Hung , Rong Mao , Filippo Pinto e Vairo , Lemuel Racacho , Tatiana Yuzyuk , William J. Craigen , Jennifer Goldstein
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引用次数: 0

摘要

溶酶体疾病(LDs)是一组异质性的罕见遗传疾病,会导致溶酶体功能受损,从而引起进行性多器官系统功能障碍。除了提供预后信息并为患者家庭提供适当的支持外,准确诊断对于在疾病早期启动靶向治疗也至关重要。近年来,基因组测序技术已成为诊断 LD 的一线方法。了解基因在疾病中作用的临床有效性对于基因组技术的发展至关重要,例如下一代测序板应包括哪些基因,以及如何解释外显子组和基因组测序的结果。为此,ClinGen 溶酶体疾病基因编辑专家小组采用了一种结合遗传和实验证据的半定量框架来评估溶酶体疾病网络列表中 56 个 LD 相关基因的临床有效性。在此,我们将介绍评估结果以及关键主题和遇到的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of genes involved in lysosomal diseases using the ClinGen clinical validity framework
Lysosomal diseases (LDs) are a heterogeneous group of rare genetic disorders that result in impaired lysosomal function, leading to progressive multiorgan system dysfunction. Accurate diagnosis is paramount to initiating targeted therapies early in the disease process in addition to providing prognostic information and appropriate support for families. In recent years, genomic sequencing technologies have become the first-line approach in the diagnosis of LDs. Understanding the clinical validity of the role of a gene in a disease is critical for the development of genomic technologies, such as which genes to include on next generation sequencing panels, and the interpretation of results from exome and genome sequencing. To this aim, the ClinGen Lysosomal Diseases Gene Curation Expert Panel utilized a semi-quantitative framework incorporating genetic and experimental evidence to assess the clinical validity of the 56 LD-associated genes on the Lysosomal Disease Network's list. Here, we describe the results, and the key themes and challenges encountered.
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来源期刊
Molecular genetics and metabolism
Molecular genetics and metabolism 生物-生化与分子生物学
CiteScore
5.90
自引率
7.90%
发文量
621
审稿时长
34 days
期刊介绍: Molecular Genetics and Metabolism contributes to the understanding of the metabolic and molecular basis of disease. This peer reviewed journal publishes articles describing investigations that use the tools of biochemical genetics and molecular genetics for studies of normal and disease states in humans and animal models.
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