Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース GDGDB - Glyco-Disease Genes Database The complexity of glycan metabolic pathways.

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Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース GDGDB - Glyco-Disease Genes Database The complexity of glycan metabolic pathways and the large numbers of genetic defects in these pathways make it difficult to deal with the broad range of diseases that are caused by mutations in glycan-related genes. The Glyco-Disease Genes Database (GDGDB) was created by Research Center for Glycoscience (RCMG) and released in April This database is supported by Ministry of Education, Culture, Sports, Science and Technology (MEXT) as part of Life Science Integrated Database project. At present time GDGDB provides information on about 80 genetic diseases of both glycan synthesis and degradation, and information on mutant genes that cause these diseases. In addition, we designed and created the “Pathway” and “Phenotype” ontologies for both types of these genetic diseases (Congenital Disorders of Glycosylation (CDG) and Lysosomal Storage Diseases (LSD)) and included them in the GDGDB. The Web-based user interface was created and released and now available at

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース Web page in that the RDF files and the User Interfaces are provided XML-based User Interface GDGDB & GGDonto ontologies - RDF representation of the GDGDB data and Ontology for Genetic Diseases known to be related to Glycan Metabolism Glyco-Disease Genes Database (GDGDB) was developed by the Research Center for Medical Glycoscience (RCMG) and released in April Being the members of the “Life-Science Database Integration Project” of National Bioscience Database Center (NBDC) of Japan Science and Technology Agency (JST), we decided to organize GDGDB information and enrich its content by integration with other biomedical resources. We designed and developed the ontologies, called GDGDB ontology and GGDonto. In addition to these ontologies, we developed a system with the user interfaces, using which the users can retrieve and search information from GDGDB and GGDonto. These XML-based and SPARQL-based user interfaces and RDF files for GDGDB ontology and GGDonto are available at We hope that these GDGDB & GGDonto ontologies with GDGDB database will help the users to better understand the etiology, pathogenesis and manifestations of the genetic diseases known to be related to glycan metabolism.

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース Information resources about diseases and causative genes that are used to create the classifications RDF representation of the GDGDB data Internal and external sources of information GDGDB GDGDB provides information on about 80 genetic diseases of both glycan synthesis and degradation, and information on mutant genes that cause these diseases. We designed and developed the ontologies, called GDGDB & GGDonto ontologies. These ontologies are based on the Semantic Web Technologies and represented in Resource Description Framework (RDF) format. Using Semantic Web Approach with Web Ontology Language (OWL), Simple Knowledge Organization System (SKOS) and RDF standards, we described semantics of GDGDB data, enriched this data with additional various classifications, and linked GDGDB data with related biomedical resources. GDGDB & GGDonto ontologies RDF Classifications NCBI Databases External information resources used to create the classifications UMLS - Unified Medical Language System MeSH - Medical Subject Headings vocabulary RDF Link information to internal and external information resources GlycoGene Database (GGDB) RDF UniProtKB_Enzymes Information that were obtained from related information resources and included in GGDonto NCBI Databases RDF GDGDB & GGDonto ontologies Glyco-Disease Genes Database (GDGDB) Database provided by the AIST: GDGDB provides information about genetic diseases of glycan synthesis and degradation Database provided by the AIST: GlycoGene includes genes associated with glycan synthesis We used the information of the enzymes that are involved in the metabolism of glycans Database provided by the AIST: Glyco-Disease Genes Database We used the information about diseases and causative genes Scientific literature that are used to create the classifications of diseases by pathogenic aspects (“pathway” classifications) Information resources that are used to create the classification of Diseases by “symptoms, signs and abnormal clinical and laboratory findings” (“phenotype” classifications) UMLS MeSH Scientific literature We used the information from Unified Medical Language System such as disease name, UMLS CUI, disease classification, and etc. UniProtKB_Proteins We used the information of the proteins that are product of glyco-genes

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース GDGDB data NCBI data: disease descriptions GGDonto ontology NCBI data: gene descriptions UniProtKB_Proteins UniProtKB_Enzymes Glyco-Disease Genes Database (GDGDB) GlycoGene Database (GGDB) Database provided by the AIST: GlycoGene includes genes associated with glycan synthesis Diseases: Disease names, Pathogenesis, OMIM phenotype, OMIM phenotype MIM number, and etc. Genes: Gene name, Alias gene names, Official gene symbol, Alias gene symbol, Locus, OMIM Gene MIM number, and etc. Diseases: Disease names, Disease definition, Data from HPO (Human Phenotype Ontology), Semantic Relations between Concepts (by using relations from UMLS), and etc. Diseases (Congenital Disorders of Glycosylation (CDGs) and Lysosomal Storage Diseases (LSDs)): Preferred term for disease, Synonyms for disease name, UMLS CUI, Clinical findings, Semantic Relations between Concepts, and etc. Genes: Gene names, Alias gene names, OMIM gene MIM number, NCBI Gene Id, NCBI Gene Symbol, Alias gene symbol, Locus, and etc. Database provided by the AIST: GDGDB provides information about genetic diseases of glycan synthesis and degradation We used the information of the enzymes that are involved in the metabolism of glycans We used the information of the proteins that are product of glyco-genes Features of this ontology The proposed ontology has the advantage of representing comprehensible knowledge related to genetic defects in glycan metabolism, because it integrates the pathogenic aspects with the clinical features associated with each of these genetic disorders. The objects of these database and ontology are genetic disorders which are caused by inherent defects in single gene (single-gene disorders). Since the information about these diseases and they causative genes have been published in a variety of medical-related information resources, the relations between this ontology and external information resources are diverse. Structure of the GDGDB & GGDonto ontologies

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース Text searching Changing the Layout of the list of Diseases Menu for changing the layout of the list Changing the Layout of the list of Diseases Menu for changing the layout of the list List of Diseases Facets sets: Faceted browsing and filtering ・ Database ・ Disease Types by Metabolic Pathways ・ Manifestation ・ Ontology Tree Facets sets: Faceted browsing and filtering ・ Database ・ Disease Types by Metabolic Pathways ・ Manifestation ・ Ontology Tree To detailed Information about Diseases and their Causative Genes Top Page of SPARQL-based user interface

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース Narrow down the subset of diseases by using the Ontology Tree Open the “Genetic discorders of glycan syntehesis (by systems, signs and symptoms)” Select the “(PhT_GD) ※ Heart Diseases” List of diseases that are related to “(PhT_GD) ) ※ Heart Diseases” List of diseases that are related to “(PhT_GD) ) ※ Heart Diseases” ※ (PhT_GD) : Ontology for Disorders of Glycosylation; classified by phenotype

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース Stanza: GGDonto: GDGDB: Disease(NCBI): Gene(NCBI): Protein(UniprotKB): ENZYME(Swiss-Prot): ※ Stanza: TogoStanza ( is a generic Web framework which enables the development of reusable Web components that are embeddable into any Web applications. Menu items for selecting related information Menu items for selecting related information Detailed Information about Diseases and their Causative Genes

Japan Consortium for Glycobiology and Glycotechnology DataBase 日本糖鎖科学統合データベース GGDonto Information about Disease from NCBI Information about Protein from UniProtKB Information about Enzyme from Swiss-Prot GDGDB Information about Gene from NCBI Stanza provided by GGDonto