基于途径、反应特异性的疾病变异注释,以阐明分子表型。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-05-07 DOI:10.1093/database/baae031
Marija Orlic-Milacic, Karen Rothfels, Lisa Matthews, Adam Wright, Bijay Jassal, Veronica Shamovsky, Quang Trinh, Marc E Gillespie, Cristoffer Sevilla, Krishna Tiwari, Eliot Ragueneau, Chuqiao Gong, Ralf Stephan, Bruce May, Robin Haw, Joel Weiser, Deidre Beavers, Patrick Conley, Henning Hermjakob, Lincoln D Stein, Peter D'Eustachio, Guanming Wu
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引用次数: 0

摘要

基因突变和体细胞突变可导致蛋白质活性改变,包括功能获得和丧失。这些变异的影响可以通过疾病特异性反应和途径来捕捉,从而凸显正常生物学的变化。疾病反应是指变异蛋白参与的异常反应。疾病通路是指包含疾病反应的通路。将疾病变异体标注为疾病反应和疾病通路的参与者,可提供致病变异体分子表型的标准化概览,便于计算挖掘和数学建模。Reactome(https://reactome.org/)是一个开放源码、人工编辑、同行评议的人类生物通路数据库,它除了为2000多条野生型通路中15000个野生型反应背景下的>11000个独特人类蛋白质提供注释外,还为400多条疾病通路中800多个疾病反应背景下近400个基因的>4000个疾病变异体提供注释。疾病变异体的功能注释从野生型反应和通路中描述的正常基因功能开始,经过与正常分子行为不同的疾病变异体的实验验证,再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,从特征变异体的分子表型推断出意义不明的变异体。Reactome 的数据模型可将疾病变异数据集映射到疾病通路中的特定疾病反应,为推断众多人类疾病变异和模式生物直系同源物的通路输出影响提供了一个平台,补充了对变异致病性的计算预测。数据库网址:https://reactome.org/.
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Pathway-based, reaction-specific annotation of disease variants for elucidation of molecular phenotypes.

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/.

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