统一医学语言系统
精密医学
罕见病
疾病
百科全书
临床表型
梅德林
本体论
生物
表型
生物信息学
计算机科学
计算生物学
医学
情报检索
遗传学
病理
基因
生物化学
图书馆学
哲学
认识论
作者
Jinmeng Jia,Zhongxin An,Ming Yue,Yongli Guo,Wei Li,Yunxiang Liang,Dongming Guo,Xin Li,Jun Tai,Geng Chen,Yaqiong Jin,Zhimei Liu,Xin Ni,Tieliu Shi
摘要
Rare diseases affect over a hundred million people worldwide, most of these patients are not accurately diagnosed and effectively treated. The limited knowledge of rare diseases forms the biggest obstacle for improving their treatment. Detailed clinical phenotyping is considered as a keystone of deciphering genes and realizing the precision medicine for rare diseases. Here, we preset a standardized system for various types of rare diseases, called encyclopedia of Rare disease Annotations for Precision Medicine (eRAM). eRAM was built by text-mining nearly 10 million scientific publications and electronic medical records, and integrating various data in existing recognized databases (such as Unified Medical Language System (UMLS), Human Phenotype Ontology, Orphanet, OMIM, GWAS). eRAM systematically incorporates currently available data on clinical manifestations and molecular mechanisms of rare diseases and uncovers many novel associations among diseases. eRAM provides enriched annotations for 15 942 rare diseases, yielding 6147 human disease related phenotype terms, 31 661 mammalians phenotype terms, 10,202 symptoms from UMLS, 18 815 genes and 92 580 genotypes. eRAM can not only provide information about rare disease mechanism but also facilitate clinicians to make accurate diagnostic and therapeutic decisions towards rare diseases. eRAM can be freely accessed at http://www.unimd.org/eram/.
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