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eRAM: encyclopedia of rare disease annotations for precision medicine
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 dec...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753383/ https://www.ncbi.nlm.nih.gov/pubmed/29106618 http://dx.doi.org/10.1093/nar/gkx1062 |
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author | Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Liang, Yunxiang Guo, Dongming Li, Xin Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu |
author_facet | Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Liang, Yunxiang Guo, Dongming Li, Xin Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu |
author_sort | Jia, Jinmeng |
collection | PubMed |
description | 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/. |
format | Online Article Text |
id | pubmed-5753383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533832018-01-05 eRAM: encyclopedia of rare disease annotations for precision medicine Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Liang, Yunxiang Guo, Dongming Li, Xin Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu Nucleic Acids Res Database Issue 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/. Oxford University Press 2018-01-04 2017-11-02 /pmc/articles/PMC5753383/ /pubmed/29106618 http://dx.doi.org/10.1093/nar/gkx1062 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Liang, Yunxiang Guo, Dongming Li, Xin Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu eRAM: encyclopedia of rare disease annotations for precision medicine |
title | eRAM: encyclopedia of rare disease annotations for precision medicine |
title_full | eRAM: encyclopedia of rare disease annotations for precision medicine |
title_fullStr | eRAM: encyclopedia of rare disease annotations for precision medicine |
title_full_unstemmed | eRAM: encyclopedia of rare disease annotations for precision medicine |
title_short | eRAM: encyclopedia of rare disease annotations for precision medicine |
title_sort | eram: encyclopedia of rare disease annotations for precision medicine |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753383/ https://www.ncbi.nlm.nih.gov/pubmed/29106618 http://dx.doi.org/10.1093/nar/gkx1062 |
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