疾病变异的基于路径的,针对特定反应的注释,以阐明分子表型
Marija Orlic-Milacic1, Karen Rothfels1, Lisa Matthews2
1Adaptive Oncology, Ontario Institute for Cancer Research, 661 University Avenue Suite 510, Toronto, ON M5G 0A3, Canada.
概括
Reactome 在生物途径中注释了4000多种疾病变异,使分子表型和变异性致病性的计算分析成为可能. 本资源有助于理解基因突变如何影响人类生物学和疾病.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 生殖系和体质突变改变了蛋白质的功能,导致功能增加或丧失.
- 这些改变的蛋白质活动表现为疾病特异性反应和途径,破坏正常的生物过程.
- 了解这些分子表型对于疾病变异解释至关重要.
研究的目的:
- 描述Reactome对生物途径内的疾病变异的全面注释.
- 要突出Reactome如何促进与致病变体相关的分子表型的计算分析.
- 将Reactome作为一种推断人类疾病变异路径影响的资源.
主要方法:
- 利用Reactome,一个人工策划的人类生物通路的数据库.
- 标注来自400个基因的>4000种疾病变异,作为400个疾病途径内的800个疾病反应的参与者.
- 将疾病变异数据集映射到特定疾病反应和分析途径.
主要成果:
- Reactome为> 11,000 种人类蛋白质和> 4,000 种疾病变体提供注释.
- 数据库详细介绍了大约400种疾病途径中的800种疾病反应.
- 功能性注释从经过验证的变体延伸到未知意义的变体.
结论:
- Reactome的数据模型可以将疾病变体映射到路径中,有助于推断路径输出影响.
- 这个资源补充了变种致病性的计算预测.
- 它提供了疾病变异分子表型的标准化概述,支持计算挖掘和数学建模.
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