机构：[1]The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China,[2]Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, the Ministry of Education Key Laboratory of Major Diseases in Children, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China临床科室科研平台职能科室耳鼻咽喉头颈外科临床流行病与循证医学中心儿科研究所首都医科大学附属北京儿童医院[3]Beijing Key Laboratory for Genetics of Birth Defects, The Ministry of Education Key Laboratory of Major Diseases in Children, Center for Medical Genetics, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China科研平台职能科室出生缺陷遗传学研究室临床流行病与循证医学中心儿科研究所首都医科大学附属北京儿童医院
There is a significant number of children around the world suffering from the consequence of the misdiagnosis and ineffective treatment for various diseases. To facilitate the precision medicine in pediatrics, a database namely the Pediatric Disease Annotations & Medicines (PedAM) has been built to standardize and classify pediatric diseases. The PedAM integrates both biomedical resources and clinical data from Electronic Medical Records to support the development of computational tools, by which enables robust data analysis and integration. It also uses disease-manifestation (D-M) integrated from existing biomedical ontologies as prior knowledge to automatically recognize text-mined, D-M-specific syntactic patterns from 774 514 full-text articles and 8 848 796 abstracts in MEDLINE. Additionally, disease connections based on phenotypes or genes can be visualized on the web page of PedAM. Currently, the PedAM contains standardized 8528 pediatric disease terms (4542 unique disease concepts and 3986 synonyms) with eight annotation fields for each disease, including definition synonyms, gene, symptom, cross-reference (Xref), human phenotypes and its corresponding phenotypes in the mouse. The database PedAM is freely accessible at http://www.unimd.org/pedam/.
基金：
China Human Proteomics Project [2014DFB30010,
2014DFB30030]; National High Technology Research
and Development Program of China [2015AA020108];
National Natural Science Foundation of China [31671377];
Shanghai 111 Project [B14019]; Beijing Municipal Administration
of Hospitals Clinical Medicine Development of
Special Funding Support [ZYLX201508]; Beijing Municipal
Science and Technology Project [D131100005313014].
Funding for open access charge: China Human Proteomics
Project [2014DFB30010] and National High
Technology Research and Development Program of China
[2015AA020108].
第一作者机构：[1]The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China,
通讯作者：
通讯机构：[1]The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China,
推荐引用方式(GB/T 7714)：
Jinmeng Jia,Zhongxin An,Yue Ming,et al.PedAM: a database for Pediatric Disease Annotation and Medicine[J].NUCLEIC ACIDS RESEARCH.2018,46(D1):D977-D983.doi:10.1093/nar/gkx1049.
APA：
Jinmeng Jia,Zhongxin An,Yue Ming,Yongli Guo,Wei Li...&Tieliu Shi.(2018).PedAM: a database for Pediatric Disease Annotation and Medicine.NUCLEIC ACIDS RESEARCH,46,(D1)
MLA：
Jinmeng Jia,et al."PedAM: a database for Pediatric Disease Annotation and Medicine".NUCLEIC ACIDS RESEARCH 46..D1(2018):D977-D983
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