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T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes

机译：T-HOD：基于文献的高血压，肥胖和糖尿病候选基因数据库

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Researchers are finding it more and more difficult to follow the changing status of disease candidate genes due to the exponential increase in gene mapping studies. The Text-mined Hypertension, Obesity and Diabetes candidate gene database (T-HOD) is developed to help trace existing research on three kinds of cardiovascular diseases: hypertension, obesity and diabetes, with the last disease categorized into Type 1 and Type 2, by regularly and semiautomatically extracting HOD-related genes from newly published literature. Currently, there are 837, 835 and 821 candidate genes recorded in T-HOD for hypertension, obesity and diabetes, respectively. T-HOD employed the state-of-art text-mining technologies, including a gene/disease identification system and a disease–gene relation extraction system, which can be used to affirm the association of genes with three diseases and provide more evidence for further studies. The primary inputs of T-HOD are the three kinds of diseases, and the output is a list of disease-related genes that can be ranked based on their number of appearance, protein–protein interactions and single-nucleotide polymorphisms. Unlike manually constructed disease gene databases, the content of T-HOD is regularly updated by our text-mining system and verified by domain experts. The interface of T-HOD facilitates easy browsing for users and allows T-HOD curators to verify data efficiently. We believe that T-HOD can help life scientists in search for more disease candidate genes in a less time- and effort-consuming manner. Database URL: http://bws.iis.sinica.edu.tw/THOD
机译：由于基因作图研究呈指数级增长，研究人员发现追踪疾病候选基因的变化状态变得越来越困难。开发了文本挖掘的高血压，肥胖和糖尿病候选基因数据库（T-HOD），以帮助追踪有关三种心血管疾病的现有研究：高血压，肥胖和糖尿病，最后一种疾病被分为1型和2型。从新出版的文献中定期和半自动地提取与HOD相关的基因。目前，在T-HOD中分别记录了用于高血压，肥胖和糖尿病的837、835和821个候选基因。 T-HOD采用了最先进的文本挖掘技术，包括基因/疾病识别系统和疾病-基因关系提取系统，可用于确认基因与三种疾病的关联，并为进一步的研究提供更多证据。学习。 T-HOD的主要输入是三种疾病，输出是与疾病相关的基因的列表，可以根据它们的出现次数，蛋白质-蛋白质相互作用和单核苷酸多态性对其进行排名。与手动构建的疾病基因数据库不同，T-HOD的内容由我们的文本挖掘系统定期更新并由领域专家进行验证。 T-HOD的界面便于用户浏览，并允许T-HOD策展人有效地验证数据。我们相信，T-HOD可以帮助生命科学家以更少的时间和精力来寻找更多的候选疾病基因。数据库URL：http://bws.iis.sinica.edu.tw/THOD

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