eRAM: encyclopedia of rare disease annotations for precision medicine
Abstract 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 keysto...
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Veröffentlicht in: | Nucleic acids research 2018-01, Vol.46 (D1), p.D937-D943 |
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creator | 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 |
description | Abstract
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/. |
doi_str_mv | 10.1093/nar/gkx1062 |
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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/.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkx1062</identifier><identifier>PMID: 29106618</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Animals ; Data Curation ; Database Issue ; Databases, Factual ; Disease Models, Animal ; Genotype ; Humans ; Mice ; Phenotype ; Precision Medicine ; Rare Diseases - classification ; Rare Diseases - diagnosis ; Rare Diseases - genetics ; Species Specificity ; Terminology as Topic</subject><ispartof>Nucleic acids research, 2018-01, Vol.46 (D1), p.D937-D943</ispartof><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. 2018</rights><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-784f4d6c08eead811e3419b07a98e5f29fdaaa85c6de82bf64fbe0d08ef0a9ea3</citedby><cites>FETCH-LOGICAL-c412t-784f4d6c08eead811e3419b07a98e5f29fdaaa85c6de82bf64fbe0d08ef0a9ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753383/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753383/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,1604,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29106618$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jia, Jinmeng</creatorcontrib><creatorcontrib>An, Zhongxin</creatorcontrib><creatorcontrib>Ming, Yue</creatorcontrib><creatorcontrib>Guo, Yongli</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Liang, Yunxiang</creatorcontrib><creatorcontrib>Guo, Dongming</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Tai, Jun</creatorcontrib><creatorcontrib>Chen, Geng</creatorcontrib><creatorcontrib>Jin, Yaqiong</creatorcontrib><creatorcontrib>Liu, Zhimei</creatorcontrib><creatorcontrib>Ni, Xin</creatorcontrib><creatorcontrib>Shi, Tieliu</creatorcontrib><title>eRAM: encyclopedia of rare disease annotations for precision medicine</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Abstract
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/.</description><subject>Animals</subject><subject>Data Curation</subject><subject>Database Issue</subject><subject>Databases, Factual</subject><subject>Disease Models, Animal</subject><subject>Genotype</subject><subject>Humans</subject><subject>Mice</subject><subject>Phenotype</subject><subject>Precision Medicine</subject><subject>Rare Diseases - classification</subject><subject>Rare Diseases - diagnosis</subject><subject>Rare Diseases - genetics</subject><subject>Species Specificity</subject><subject>Terminology as Topic</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp90E1LxDAQBuAgiq4fJ-_SkwhSTZo0m3oQRPwCRRA9h9l0otFuUpOu6L83sqvoxVMY8vDO8BKyzegBow0_9BAPH1_eGZXVEhkxLqtSNLJaJiPKaV0yKtQaWU_pmVImWC1WyVrVZC2ZGpEzvDu5OSrQmw_ThR5bB0WwRYSIResSQsICvA8DDC74VNgQiz6icSmPxTR74zxukhULXcKtxbtBHs7P7k8vy-vbi6vTk-vSCFYN5VgJK1ppqEKEVjGGXLBmQsfQKKxt1dgWAFRtZIuqmlgp7ARpm7ml0CDwDXI8z-1nk7zboB8idLqPbgrxQwdw-u-Pd0_6MbzpelxzrngO2FsExPA6wzToqUsGuw48hlnSrJGMcskkzXR_Tk0MKUW0P2sY1V_F61y8XhSf9c7vy37sd9MZ7M5BmPX_Jn0C-1-Org</recordid><startdate>20180104</startdate><enddate>20180104</enddate><creator>Jia, Jinmeng</creator><creator>An, Zhongxin</creator><creator>Ming, Yue</creator><creator>Guo, Yongli</creator><creator>Li, Wei</creator><creator>Liang, Yunxiang</creator><creator>Guo, Dongming</creator><creator>Li, Xin</creator><creator>Tai, Jun</creator><creator>Chen, Geng</creator><creator>Jin, Yaqiong</creator><creator>Liu, Zhimei</creator><creator>Ni, Xin</creator><creator>Shi, Tieliu</creator><general>Oxford University Press</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180104</creationdate><title>eRAM: encyclopedia of rare disease annotations for precision medicine</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-784f4d6c08eead811e3419b07a98e5f29fdaaa85c6de82bf64fbe0d08ef0a9ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animals</topic><topic>Data Curation</topic><topic>Database Issue</topic><topic>Databases, Factual</topic><topic>Disease Models, Animal</topic><topic>Genotype</topic><topic>Humans</topic><topic>Mice</topic><topic>Phenotype</topic><topic>Precision Medicine</topic><topic>Rare Diseases - classification</topic><topic>Rare Diseases - diagnosis</topic><topic>Rare Diseases - genetics</topic><topic>Species Specificity</topic><topic>Terminology as Topic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jia, Jinmeng</creatorcontrib><creatorcontrib>An, Zhongxin</creatorcontrib><creatorcontrib>Ming, Yue</creatorcontrib><creatorcontrib>Guo, Yongli</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Liang, Yunxiang</creatorcontrib><creatorcontrib>Guo, Dongming</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Tai, Jun</creatorcontrib><creatorcontrib>Chen, Geng</creatorcontrib><creatorcontrib>Jin, Yaqiong</creatorcontrib><creatorcontrib>Liu, Zhimei</creatorcontrib><creatorcontrib>Ni, Xin</creatorcontrib><creatorcontrib>Shi, Tieliu</creatorcontrib><collection>Access via Oxford University Press (Open Access Collection)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jia, Jinmeng</au><au>An, Zhongxin</au><au>Ming, Yue</au><au>Guo, Yongli</au><au>Li, Wei</au><au>Liang, Yunxiang</au><au>Guo, Dongming</au><au>Li, Xin</au><au>Tai, Jun</au><au>Chen, Geng</au><au>Jin, Yaqiong</au><au>Liu, Zhimei</au><au>Ni, Xin</au><au>Shi, Tieliu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>eRAM: encyclopedia of rare disease annotations for precision medicine</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2018-01-04</date><risdate>2018</risdate><volume>46</volume><issue>D1</issue><spage>D937</spage><epage>D943</epage><pages>D937-D943</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>Abstract
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/.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29106618</pmid><doi>10.1093/nar/gkx1062</doi><oa>free_for_read</oa></addata></record> |
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subjects | Animals Data Curation Database Issue Databases, Factual Disease Models, Animal Genotype Humans Mice Phenotype Precision Medicine Rare Diseases - classification Rare Diseases - diagnosis Rare Diseases - genetics Species Specificity Terminology as Topic |
title | eRAM: encyclopedia of rare disease annotations for precision medicine |
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