疾病egps:基于基因型和表型的遗传病辅助诊断系统。

IF 4.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Daoyi Huang, Jianping Jiang, Tingting Zhao, Shengnan Wu, Pin Li, Yongfen Lyu, Jincai Feng, Mingyue Wei, Zhixing Zhu, Jianlei Gu, Yongyong Ren, Guangjun Yu, Hui Lu
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引用次数: 0

摘要

摘要:新一代测序由于其高通量能力,为遗传疾病的诊断带来了机会。然而,大多数现有的方法仅限于对候选变异进行测序,并且将这些变异与遗传疾病的诊断联系起来的过程仍然需要医学专业人员查阅数据库。因此,我们引入了disease egps,这是一个综合的遗传疾病诊断平台,结合了表型和基因型数据进行分析。它不仅为那些没有编程背景的人提供了一个用户友好的GUI web应用程序,而且还为生物信息学专业人员提供了可以批处理模式执行的脚本。利用ACMG-Bayes方法和一种新的表型相似性方法整合遗传和表型数据,对遗传疾病的结果进行优先排序。对来自破译发育障碍项目的6085例患儿和来自上海儿童医院的187例患儿进行egps评价。结果表明,疾病egps比其他常用的方法效果更好。可用性和实现:可以在https://diseasegps.sjtu.edu.cn免费访问疾病管理系统,源代码在https://github.com/BioHuangDY/diseaseGPS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype.

diseaseGPS: auxiliary diagnostic system for genetic disorders based on genotype and phenotype.

Summary: The next-generation sequencing brought opportunities for the diagnosis of genetic disorders due to its high-throughput capabilities. However, the majority of existing methods were limited to only sequencing candidate variants, and the process of linking these variants to a diagnosis of genetic disorders still required medical professionals to consult databases. Therefore, we introduce diseaseGPS, an integrated platform for the diagnosis of genetic disorders that combines both phenotype and genotype data for analysis. It offers not only a user-friendly GUI web application for those without a programming background but also scripts that can be executed in batch mode for bioinformatics professionals. The genetic and phenotypic data are integrated using the ACMG-Bayes method and a novel phenotypic similarity method, to prioritize the results of genetic disorders. diseaseGPS was evaluated on 6085 cases from Deciphering Developmental Disorders project and 187 cases from Shanghai Children's hospital. The results demonstrated that diseaseGPS performed better than other commonly used methods.

Availability and implementation: diseaseGPS is available to freely accessed at https://diseasegps.sjtu.edu.cn with source code at https://github.com/BioHuangDY/diseaseGPS.

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来源期刊
Bioinformatics
Bioinformatics 生物-生化研究方法
CiteScore
11.20
自引率
5.20%
发文量
753
审稿时长
2.1 months
期刊介绍: The leading journal in its field, Bioinformatics publishes the highest quality scientific papers and review articles of interest to academic and industrial researchers. Its main focus is on new developments in genome bioinformatics and computational biology. Two distinct sections within the journal - Discovery Notes and Application Notes- focus on shorter papers; the former reporting biologically interesting discoveries using computational methods, the latter exploring the applications used for experiments.
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