TY - JOUR
T1 - ERAM
T2 - Encyclopedia of rare disease annotations for precision medicine
AU - Jia, Jinmeng
AU - An, Zhongxin
AU - Ming, Yue
AU - Guo, Yongli
AU - Li, Wei
AU - Liang, Yunxiang
AU - Guo, Dongming
AU - Li, Xin
AU - Tai, Jun
AU - Chen, Geng
AU - Jin, Yaqiong
AU - Liu, Zhimei
AU - Ni, Xin
AU - Shi, Tieliu
N1 - Publisher Copyright:
© 2017 The Author(s) .
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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/.
AB - 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/.
UR - https://www.scopus.com/pages/publications/85040924912
U2 - 10.1093/nar/gkx1062
DO - 10.1093/nar/gkx1062
M3 - 文章
C2 - 29106618
AN - SCOPUS:85040924912
SN - 0305-1048
VL - 46
SP - D937-D943
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -