Adaptive Oncology, Ontario Institute for Cancer Research, 661 University Avenue Suite 510, Toronto, ON M5G 0A3, Canada.
Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, 550 First Avenue, New York, NY 10016, USA.
Database (Oxford). 2024 May 7;2024. doi: 10.1093/database/baae031.
Germline and somatic mutations can give rise to proteins with altered activity, including both gain and loss-of-function. The effects of these variants can be captured in disease-specific reactions and pathways that highlight the resulting changes to normal biology. A disease reaction is defined as an aberrant reaction in which a variant protein participates. A disease pathway is defined as a pathway that contains a disease reaction. Annotation of disease variants as participants of disease reactions and disease pathways can provide a standardized overview of molecular phenotypes of pathogenic variants that is amenable to computational mining and mathematical modeling. Reactome (https://reactome.org/), an open source, manually curated, peer-reviewed database of human biological pathways, in addition to providing annotations for >11 000 unique human proteins in the context of ∼15 000 wild-type reactions within more than 2000 wild-type pathways, also provides annotations for >4000 disease variants of close to 400 genes as participants of ∼800 disease reactions in the context of ∼400 disease pathways. Functional annotation of disease variants proceeds from normal gene functions, described in wild-type reactions and pathways, through disease variants whose divergence from normal molecular behaviors has been experimentally verified, to extrapolation from molecular phenotypes of characterized variants to variants of unknown significance using criteria of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Reactome's data model enables mapping of disease variant datasets to specific disease reactions within disease pathways, providing a platform to infer pathway output impacts of numerous human disease variants and model organism orthologs, complementing computational predictions of variant pathogenicity. Database URL: https://reactome.org/.
种系和体细胞突变可导致活性改变的蛋白质,包括获得性功能和丧失性功能。这些变体的影响可以在特定疾病的反应和途径中捕获,这些反应和途径突出了对正常生物学的影响。疾病反应定义为变体蛋白参与的异常反应。疾病途径定义为包含疾病反应的途径。将疾病变体注释为疾病反应和疾病途径的参与者,可以为致病性变体的分子表型提供标准化概述,从而便于计算挖掘和数学建模。Reactome(https://reactome.org/)是一个开源的、手动注释的、同行评审的人类生物途径数据库,除了在 2000 多个野生型途径中的约 15000 个野生型反应中提供了超过 11000 个独特人类蛋白质的注释外,还在约 400 个疾病途径中的约 800 个疾病反应中,提供了近 400 个基因的约 4000 个疾病变体作为参与者的注释。疾病变体的功能注释从正常基因功能开始,这些正常基因功能在野生型反应和途径中描述,然后是已经通过实验验证的与正常分子行为有差异的疾病变体,最后根据美国医学遗传学和基因组学学院以及分子病理学协会的标准,从已确定的变体的分子表型推断出未知意义的变体。Reactome 的数据模型使疾病变体数据集能够映射到疾病途径中的特定疾病反应,为推断许多人类疾病变体和模式生物同源物的途径输出影响提供了一个平台,补充了变体致病性的计算预测。数据库网址:https://reactome.org/。