通过ClinGen数据平台生成临床级基因疾病有效性分类
Matt W Wright1, Courtney L Thaxton2, Tristan Nelson3
1Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, USA; email: wrightmw@stanford.edu, teri.klein@stanford.edu.
Annual review of biomedical data science
|April 25, 2024
概括
临床基因组资源 (ClinGen) 开发了一个数据基础设施,以标准化基因疾病有效性治疗. 这提高了准确医学和临床诊断的可靠遗传数据的获取.
科学领域:
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
- 医疗信息学 医疗信息学
背景情况:
- 临床遗传测试需要经过验证的生物医学数据来进行准确的诊断和精准医学.
- 不一致的数据结构和评估方法阻碍了基因疾病因果关系和临床有效性的评估.
- 临床基因组资源 (ClinGen) 旨在弥合了解基因与疾病关系的知识差距.
研究的目的:
- 审查ClinGen开发的基因疾病有效性数据策划基础设施.
- 突出基因有效性数据的标准化,协调和传播.
- 展示支持ClinGen策划工作的应用程序.
主要方法:
- 开发基因疾病有效性治疗的框架.
- 对遗传信息的共同数据标准的实施.
- 使用集成的应用程序:ClinGen GeneTracker,基因策划界面,数据交换,GeneGraph和网站.
主要成果:
- 已经建立了一个强大的基础设施,用于标准化和协调基因疾病有效性数据.
- 在评估基因与疾病关系的证据强度方面提高了可访问性和一致性.
- 促进用于临床决策的数据传播.
结论:
- ClinGen的基础设施提高了临床应用的遗传数据的可靠性.
- 标准化治疗过程对于推进精准医学至关重要.
- 开发的工具支持对基因疾病有效性的一致和可访问的评估.
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